With a unique technology platform established over decades of work within the grain industry, FOSS can offer the most comprehensive and forward-thinking analytical solutions to help you improve your grain and milling operations. From harvest to finished products, FOSS offers solutions for improved quality control.
Transforming the global food systems: Challenges and opportunitiesILRI
This document summarizes a presentation given by Jimmy Smith, Director General of the International Livestock Research Institute, on challenges and opportunities in transforming global food systems. It discusses four key areas: food and nutrition security, livelihoods and economic growth, human health, and environmental health. For each area, it outlines challenges such as malnutrition, lack of access to nutritious animal-source foods, threats from zoonotic diseases, and greenhouse gas emissions from livestock. It also proposes opportunities through livestock research, such as increasing productivity to boost food and income, improving food safety, controlling diseases at the animal source to prevent pandemics, and making livestock production more environmentally sustainable.
The document discusses partial least squares structural equation modeling (PLS-SEM). It provides an overview of key concepts in PLS-SEM, including the differences between PLS-SEM and covariance-based SEM, the objectives and assumptions of each method, and guidelines for when each method is most appropriate. The document also outlines the stages of applying PLS-SEM, including specifying measurement and structural models, model estimation, and evaluating results. Examples are provided to illustrate reflective versus formative measurement models.
The document discusses the design of an effective pastoral extension system for Ethiopia. It notes that past extension systems have failed to adequately serve pastoral livelihoods as they were not designed with pastoralism in mind. It provides an overview of national and regional responses to criticisms of previous approaches. Some key issues that need to be considered in developing a new pastoral extension system include participation of pastoral communities, provision of mobile services, livelihood diversification support, access to markets, technical assistance that builds on indigenous knowledge, and addressing conflict and basic needs.
This document provides an overview of statistical process control and related quality control techniques. It discusses descriptive statistics, statistical process control methods including the seven basic quality tools, and acceptance sampling. Statistical process control is identified as the most important statistical quality control tool because it can identify changes or variations in quality during the production process using methods like control charts. Control charts, check sheets, Pareto charts, flow charts and other tools are explained as part of statistical process control. Acceptance sampling procedures and how they manage producer and consumer risks are also summarized.
Measuremen Systems Analysis Training ModuleFrank-G. Adler
The Six Sigma Measurement Systems Analysis (MSA) Training Module includes a MS PowerPoint Presentation including 62 slides covering an Introduction to Measurement Systems Analysis - Relevance - Discrimination - Accuracy - Stability - Linearity - Precision, Variable Gage R&R Study, and Attribute Gage R&R Study.
Urbanization and its effect on food securityMahmud Shuvo
power point presentation on urbanization and its effect on food security.you can easily find here your necessary data and charts about this matter in respect of BANGLADESH.
This document provides information about Pakistan's Agricultural Census 2016. It discusses the hierarchy, methodology, scope and sample design of the Agricultural Census. Some key points:
- The Agricultural Census is conducted every 10 years and collects data on crops, livestock, farms and households.
- A merged census including agriculture, livestock and machinery will be conducted in 2016 using electronic data collection.
- A two-stage sample design is used to select villages/blocks and then households. Larger farms and livestock owners are enumerated completely.
- Four questionnaires will collect data on crops, machinery, prices and household characteristics. More than 40 crops are covered.
Climate change and agriculture lecture by MUHAMMAD FAHAD ANSARI 12IEEM 14fahadansari131
This document discusses the impacts of climate change on agriculture. It begins by defining climate change and outlining some of the key drivers influencing agriculture, including population growth, urbanization, and globalization. It then examines how climate change is affecting global temperatures, greenhouse gas emissions, and precipitation patterns. The document outlines projections for increased global temperatures and impacts on agriculture in India like reduced wheat production. It discusses how different sectors contribute to climate change and strategies for agricultural adaptation.
Transforming the global food systems: Challenges and opportunitiesILRI
This document summarizes a presentation given by Jimmy Smith, Director General of the International Livestock Research Institute, on challenges and opportunities in transforming global food systems. It discusses four key areas: food and nutrition security, livelihoods and economic growth, human health, and environmental health. For each area, it outlines challenges such as malnutrition, lack of access to nutritious animal-source foods, threats from zoonotic diseases, and greenhouse gas emissions from livestock. It also proposes opportunities through livestock research, such as increasing productivity to boost food and income, improving food safety, controlling diseases at the animal source to prevent pandemics, and making livestock production more environmentally sustainable.
The document discusses partial least squares structural equation modeling (PLS-SEM). It provides an overview of key concepts in PLS-SEM, including the differences between PLS-SEM and covariance-based SEM, the objectives and assumptions of each method, and guidelines for when each method is most appropriate. The document also outlines the stages of applying PLS-SEM, including specifying measurement and structural models, model estimation, and evaluating results. Examples are provided to illustrate reflective versus formative measurement models.
The document discusses the design of an effective pastoral extension system for Ethiopia. It notes that past extension systems have failed to adequately serve pastoral livelihoods as they were not designed with pastoralism in mind. It provides an overview of national and regional responses to criticisms of previous approaches. Some key issues that need to be considered in developing a new pastoral extension system include participation of pastoral communities, provision of mobile services, livelihood diversification support, access to markets, technical assistance that builds on indigenous knowledge, and addressing conflict and basic needs.
This document provides an overview of statistical process control and related quality control techniques. It discusses descriptive statistics, statistical process control methods including the seven basic quality tools, and acceptance sampling. Statistical process control is identified as the most important statistical quality control tool because it can identify changes or variations in quality during the production process using methods like control charts. Control charts, check sheets, Pareto charts, flow charts and other tools are explained as part of statistical process control. Acceptance sampling procedures and how they manage producer and consumer risks are also summarized.
Measuremen Systems Analysis Training ModuleFrank-G. Adler
The Six Sigma Measurement Systems Analysis (MSA) Training Module includes a MS PowerPoint Presentation including 62 slides covering an Introduction to Measurement Systems Analysis - Relevance - Discrimination - Accuracy - Stability - Linearity - Precision, Variable Gage R&R Study, and Attribute Gage R&R Study.
Urbanization and its effect on food securityMahmud Shuvo
power point presentation on urbanization and its effect on food security.you can easily find here your necessary data and charts about this matter in respect of BANGLADESH.
This document provides information about Pakistan's Agricultural Census 2016. It discusses the hierarchy, methodology, scope and sample design of the Agricultural Census. Some key points:
- The Agricultural Census is conducted every 10 years and collects data on crops, livestock, farms and households.
- A merged census including agriculture, livestock and machinery will be conducted in 2016 using electronic data collection.
- A two-stage sample design is used to select villages/blocks and then households. Larger farms and livestock owners are enumerated completely.
- Four questionnaires will collect data on crops, machinery, prices and household characteristics. More than 40 crops are covered.
Climate change and agriculture lecture by MUHAMMAD FAHAD ANSARI 12IEEM 14fahadansari131
This document discusses the impacts of climate change on agriculture. It begins by defining climate change and outlining some of the key drivers influencing agriculture, including population growth, urbanization, and globalization. It then examines how climate change is affecting global temperatures, greenhouse gas emissions, and precipitation patterns. The document outlines projections for increased global temperatures and impacts on agriculture in India like reduced wheat production. It discusses how different sectors contribute to climate change and strategies for agricultural adaptation.
Mark Graban SHS 2014: Two Data Points Are Not a Trend: Using SPC to Manage Be...Mark Graban
Healthcare leaders often make bad decisions due to a lack of statistical understanding. This session will remind attendees that simple comparisons of two data points or comparisons to goals and targets can be misleading. Control charts allow us to better validate project success and make better ongoing management decisions.
It’s far too easy for improvement facilitators to draw incorrect conclusions about the success of their Lean event or Six Sigma project if they are simply comparing before and after performance. Likewise, healthcare leaders make bad decisions when they are likewise comparing two data points (today versus a previous month or year or today versus a target).
Basic Statistical Process Control (SPC) methods, like control charts, are a simple and proven alternative.
Key Learning Objectives
1) Understand some of the common pitfalls in the creation and use of performance measures in various healthcare settings
2) See statistical chart analysis methods that allow for the best management decision making, such as knowing if we are improving and if a "bad day" requires investigation or if it is merely "noise" in the system's performance
3) Connect key principles of Lean management and the Deming philosophy into modern KPI and metrics management
By the end of this session attendees will
1) Understand the importance of "control charts" for management decision making
2) Be able to create and interpret a basic management control chart
3) Know of other resources for more learning
Mark Graban is author of the Shingo-Award winning book "Lean Hospitals: Improving Quality, Patient Safety, and Employee Engagement." Mark is also co-author, with Joe Swartz, of "Healthcare Kaizen: Engaging Front-Line Staff in Sustainable Continuous Improvements" (also a Shingo recipient) and "The Executive Guide to Healthcare Kaizen."
He serves as a consultant to healthcare organizations through his company, Constancy, Inc and is also the Chief Improvement Officer of the technology company KaiNexus.
Mark has a B.S. in Industrial Engineering from Northwestern University and an M.S. in Mechanical Engineering and an M.B.A. from the Massachusetts Institute of Technology’s Leaders for Global Operations Program. Mark and his wife live in San Antonio, Texas.
The agriculture sector employs nearly half of the workforce in the country. However, it contributes to 17.5% of the GDP (at current prices in 2015-16).Agriculture sector’s contribution has decreased from more than 50% of GDP in the 1950s to 15.4% in 2015-16 (at constant prices). This slides discuss about Indian agriculture status and problems and solutions.
The document is a presentation about using social media, specifically Facebook, LinkedIn, and Twitter, for agriculture. Some key points:
- Social media can be used for networking, gaining industry insights, marketing, and building community.
- Agriculture and food issues are widely discussed online, and social media allows farmers to communicate, educate and influence public opinion.
- Facebook, LinkedIn and Twitter each have over 100 million active users and can be leveraged to tell the story of food/farming.
- The presentation provides tips on setting up pages/profiles and engaging content strategies for each platform, such as sharing photos/videos, joining groups, and following relevant accounts.
India has the second largest amount of agricultural land globally at 179.9 million hectares. It produces a variety of crops due to diverse climatic conditions and soil types. Food grain production reached an all-time high of 259 million tonnes in FY12, with rice and wheat production at 105 and 95 million tonnes respectively. Growing population and incomes are driving demand for agricultural output. The government is undertaking various initiatives to boost production such as increasing irrigation, promoting mechanization, and providing support prices.
This document discusses measurement system analysis (MSA) and gauge repeatability and reproducibility (R&R) studies. MSA is used to evaluate different aspects of a measurement system like bias, linearity, stability, repeatability and reproducibility. R&R studies focus specifically on repeatability and reproducibility. Key terms are defined, including bias, repeatability, reproducibility, stability, linearity, attribute R&R parameters like effectiveness, misses, false alarms, and bias, and how to analyze variable measurement data using analysis of variance. Guidelines for acceptable levels of R&R parameters are also provided.
This document discusses measurement system analysis (MSA) and key terms related to evaluating measurement systems. It provides the following information:
1. An MSA seeks to identify sources of variation in a measurement process. Steps include determining the system to study, establishing test procedures, and choosing operators and sample parts.
2. Measurement systems should demonstrate stability, minimal variation compared to specifications, and minimal variation compared to the process being measured.
3. Key terms defined include reference value, resolution, precision, accuracy, repeatability, reproducibility, and measurement error. Repeatability and reproducibility are primary contributors to measurement error.
4. Sources of variation include stability, linearity, calibration, operators, and environmental factors.
This presentation provides an overview of control charts, including what they are, their purposes and advantages, different types of control charts, and how to construct and interpret them. Control charts graphically display process data over time to determine whether a manufacturing or business process is in a state of statistical control. The presentation discusses variable and attribute control charts, and specific charts like X-bar and R-bar charts. It provides examples of how to calculate control limits and plot data on a chart, and how to interpret results to determine if a process is capable or needs improvement. A case study example analyzing wait time data from a hotel management company is also reviewed.
Control charts are graphs used to study how a process changes over time by plotting data points in time order. A control chart contains a central line for the average, and upper and lower control limits determined from historical data. There are variable control charts that measure things like weight, and attribute control charts that count outcomes like defects. Control charts help determine whether a process is stable or experiencing unusual variations so quality can be ensured. While useful, control charts have been criticized for how they model processes and compare performance.
This document discusses the opportunities and challenges for agribusiness development in Africa. It notes that recent African growth has relied on commodities and extensification, and questions if this is sustainable. Agribusiness can play a key role in agricultural transformation by creating linkages and value addition. There are growing domestic, regional, and international markets for processed foods. However, agribusiness development faces challenges around comparative advantage, targeting different firm scales, and requiring support from other sectors.
Global Food Security Challenges and OpportunitiesShenggen Fan
Global food security faces many challenges including volatile food prices, population growth, land and water constraints, climate change, and the increasing demand for biofuels. To address these issues, the document calls for a development agenda with greater support for food security through investments in agriculture, safety nets, land and water productivity, and climate change adaptation. It also emphasizes the crucial role policy research can play in informing investments and policies to promote food security through impacts on areas like poverty reduction, resource allocation, and agricultural technology development and adoption.
Food security at the national level refers to availability in the country of sufficient stocks of food to meet domestic demand through domestic supply or imports
1) This document provides guidance for completing First Article Inspection Reports in accordance with the 9102 Standard.
2) Key requirements include recording FAI Reports in English or a specified language, completing the AS9102 forms which include part number accountability, product accountability, and characteristic accountability and verification.
3) An FAI must be performed for new parts, design changes, process changes, and when required by customers. It involves verifying all design characteristics and manufacturing processes.
This document provides an overview of statistical process control (SPC) techniques. It discusses the origins and purpose of SPC, describes the key components and interpretation of control charts, and outlines the steps involved in using SPC, including identification of problems, prioritization, data collection, and analysis using various tools. Control charts are presented as the primary analytical tool of SPC for monitoring processes over time and identifying whether processes are in control or require correction.
Marcos S. Jank
POLICY SEMINAR
Fertilizer Availability and Affordability: Implications for agricultural productivity and food security
MAY 4, 2022 - 9:30 TO 11:30AM EDT
Presentation prepared by Xinshen Diao, Paul Dorosh, and James Thurlow, all with the International Food Policy Research Institute, Washington, DC. This is part of the Global Crisis Country Series.
Rebbie Harawa
COUNTRY WORKSHOP
The Knowledge Lab on Climate Resilient Food Systems: An analytical support facility to achieve the SDGs
Co-Organized by IFPRI and AGRA
FEB 7, 2019 - 08:30 AM TO 05:55 PM EAT
Impacts of climate change on livestock sector and Kenya’s preparedness on the...ILRI
Presented by Robin M. Mbae (Ministry of Agriculture, Livestock and Fisheries, Kenya) at the Expert panel: Sustainable solutions for the livestock sector: the time is ripe! 10th Global Forum for Food and Agriculture, Berlin, 19 January 2018
Throughout the feed value chain our customers rely on the accuracy of the information provided by FOSS analytical solutions. With rapid and reliable measurements of crucial parameters, at-line and inline, our instruments and software allow you to leverage real-time production data and take action that saves costly rework and wastage of valuable resources. FOSS NIR solutions include instrumentation, calibrations, calibration development software, instrument network software as well as instrumentation for wet chemistry reference methods.
The document discusses the capabilities of new generation near-infrared (NIR) systems for analyzing grains and flours. It describes how newer NIR systems using photodiode arrays can more accurately measure additional quality parameters beyond just protein, moisture and ash contents, such as gluten content, water absorption, and starch damage. This allows millers to better optimize flour production processes in real-time without waiting for lab results.
Mark Graban SHS 2014: Two Data Points Are Not a Trend: Using SPC to Manage Be...Mark Graban
Healthcare leaders often make bad decisions due to a lack of statistical understanding. This session will remind attendees that simple comparisons of two data points or comparisons to goals and targets can be misleading. Control charts allow us to better validate project success and make better ongoing management decisions.
It’s far too easy for improvement facilitators to draw incorrect conclusions about the success of their Lean event or Six Sigma project if they are simply comparing before and after performance. Likewise, healthcare leaders make bad decisions when they are likewise comparing two data points (today versus a previous month or year or today versus a target).
Basic Statistical Process Control (SPC) methods, like control charts, are a simple and proven alternative.
Key Learning Objectives
1) Understand some of the common pitfalls in the creation and use of performance measures in various healthcare settings
2) See statistical chart analysis methods that allow for the best management decision making, such as knowing if we are improving and if a "bad day" requires investigation or if it is merely "noise" in the system's performance
3) Connect key principles of Lean management and the Deming philosophy into modern KPI and metrics management
By the end of this session attendees will
1) Understand the importance of "control charts" for management decision making
2) Be able to create and interpret a basic management control chart
3) Know of other resources for more learning
Mark Graban is author of the Shingo-Award winning book "Lean Hospitals: Improving Quality, Patient Safety, and Employee Engagement." Mark is also co-author, with Joe Swartz, of "Healthcare Kaizen: Engaging Front-Line Staff in Sustainable Continuous Improvements" (also a Shingo recipient) and "The Executive Guide to Healthcare Kaizen."
He serves as a consultant to healthcare organizations through his company, Constancy, Inc and is also the Chief Improvement Officer of the technology company KaiNexus.
Mark has a B.S. in Industrial Engineering from Northwestern University and an M.S. in Mechanical Engineering and an M.B.A. from the Massachusetts Institute of Technology’s Leaders for Global Operations Program. Mark and his wife live in San Antonio, Texas.
The agriculture sector employs nearly half of the workforce in the country. However, it contributes to 17.5% of the GDP (at current prices in 2015-16).Agriculture sector’s contribution has decreased from more than 50% of GDP in the 1950s to 15.4% in 2015-16 (at constant prices). This slides discuss about Indian agriculture status and problems and solutions.
The document is a presentation about using social media, specifically Facebook, LinkedIn, and Twitter, for agriculture. Some key points:
- Social media can be used for networking, gaining industry insights, marketing, and building community.
- Agriculture and food issues are widely discussed online, and social media allows farmers to communicate, educate and influence public opinion.
- Facebook, LinkedIn and Twitter each have over 100 million active users and can be leveraged to tell the story of food/farming.
- The presentation provides tips on setting up pages/profiles and engaging content strategies for each platform, such as sharing photos/videos, joining groups, and following relevant accounts.
India has the second largest amount of agricultural land globally at 179.9 million hectares. It produces a variety of crops due to diverse climatic conditions and soil types. Food grain production reached an all-time high of 259 million tonnes in FY12, with rice and wheat production at 105 and 95 million tonnes respectively. Growing population and incomes are driving demand for agricultural output. The government is undertaking various initiatives to boost production such as increasing irrigation, promoting mechanization, and providing support prices.
This document discusses measurement system analysis (MSA) and gauge repeatability and reproducibility (R&R) studies. MSA is used to evaluate different aspects of a measurement system like bias, linearity, stability, repeatability and reproducibility. R&R studies focus specifically on repeatability and reproducibility. Key terms are defined, including bias, repeatability, reproducibility, stability, linearity, attribute R&R parameters like effectiveness, misses, false alarms, and bias, and how to analyze variable measurement data using analysis of variance. Guidelines for acceptable levels of R&R parameters are also provided.
This document discusses measurement system analysis (MSA) and key terms related to evaluating measurement systems. It provides the following information:
1. An MSA seeks to identify sources of variation in a measurement process. Steps include determining the system to study, establishing test procedures, and choosing operators and sample parts.
2. Measurement systems should demonstrate stability, minimal variation compared to specifications, and minimal variation compared to the process being measured.
3. Key terms defined include reference value, resolution, precision, accuracy, repeatability, reproducibility, and measurement error. Repeatability and reproducibility are primary contributors to measurement error.
4. Sources of variation include stability, linearity, calibration, operators, and environmental factors.
This presentation provides an overview of control charts, including what they are, their purposes and advantages, different types of control charts, and how to construct and interpret them. Control charts graphically display process data over time to determine whether a manufacturing or business process is in a state of statistical control. The presentation discusses variable and attribute control charts, and specific charts like X-bar and R-bar charts. It provides examples of how to calculate control limits and plot data on a chart, and how to interpret results to determine if a process is capable or needs improvement. A case study example analyzing wait time data from a hotel management company is also reviewed.
Control charts are graphs used to study how a process changes over time by plotting data points in time order. A control chart contains a central line for the average, and upper and lower control limits determined from historical data. There are variable control charts that measure things like weight, and attribute control charts that count outcomes like defects. Control charts help determine whether a process is stable or experiencing unusual variations so quality can be ensured. While useful, control charts have been criticized for how they model processes and compare performance.
This document discusses the opportunities and challenges for agribusiness development in Africa. It notes that recent African growth has relied on commodities and extensification, and questions if this is sustainable. Agribusiness can play a key role in agricultural transformation by creating linkages and value addition. There are growing domestic, regional, and international markets for processed foods. However, agribusiness development faces challenges around comparative advantage, targeting different firm scales, and requiring support from other sectors.
Global Food Security Challenges and OpportunitiesShenggen Fan
Global food security faces many challenges including volatile food prices, population growth, land and water constraints, climate change, and the increasing demand for biofuels. To address these issues, the document calls for a development agenda with greater support for food security through investments in agriculture, safety nets, land and water productivity, and climate change adaptation. It also emphasizes the crucial role policy research can play in informing investments and policies to promote food security through impacts on areas like poverty reduction, resource allocation, and agricultural technology development and adoption.
Food security at the national level refers to availability in the country of sufficient stocks of food to meet domestic demand through domestic supply or imports
1) This document provides guidance for completing First Article Inspection Reports in accordance with the 9102 Standard.
2) Key requirements include recording FAI Reports in English or a specified language, completing the AS9102 forms which include part number accountability, product accountability, and characteristic accountability and verification.
3) An FAI must be performed for new parts, design changes, process changes, and when required by customers. It involves verifying all design characteristics and manufacturing processes.
This document provides an overview of statistical process control (SPC) techniques. It discusses the origins and purpose of SPC, describes the key components and interpretation of control charts, and outlines the steps involved in using SPC, including identification of problems, prioritization, data collection, and analysis using various tools. Control charts are presented as the primary analytical tool of SPC for monitoring processes over time and identifying whether processes are in control or require correction.
Marcos S. Jank
POLICY SEMINAR
Fertilizer Availability and Affordability: Implications for agricultural productivity and food security
MAY 4, 2022 - 9:30 TO 11:30AM EDT
Presentation prepared by Xinshen Diao, Paul Dorosh, and James Thurlow, all with the International Food Policy Research Institute, Washington, DC. This is part of the Global Crisis Country Series.
Rebbie Harawa
COUNTRY WORKSHOP
The Knowledge Lab on Climate Resilient Food Systems: An analytical support facility to achieve the SDGs
Co-Organized by IFPRI and AGRA
FEB 7, 2019 - 08:30 AM TO 05:55 PM EAT
Impacts of climate change on livestock sector and Kenya’s preparedness on the...ILRI
Presented by Robin M. Mbae (Ministry of Agriculture, Livestock and Fisheries, Kenya) at the Expert panel: Sustainable solutions for the livestock sector: the time is ripe! 10th Global Forum for Food and Agriculture, Berlin, 19 January 2018
Throughout the feed value chain our customers rely on the accuracy of the information provided by FOSS analytical solutions. With rapid and reliable measurements of crucial parameters, at-line and inline, our instruments and software allow you to leverage real-time production data and take action that saves costly rework and wastage of valuable resources. FOSS NIR solutions include instrumentation, calibrations, calibration development software, instrument network software as well as instrumentation for wet chemistry reference methods.
The document discusses the capabilities of new generation near-infrared (NIR) systems for analyzing grains and flours. It describes how newer NIR systems using photodiode arrays can more accurately measure additional quality parameters beyond just protein, moisture and ash contents, such as gluten content, water absorption, and starch damage. This allows millers to better optimize flour production processes in real-time without waiting for lab results.
NIR analysers are now available for use in all aspects of food production; right from ‘farm to factory.’ Australian company Next Instruments specialises in designing and manufacturing NIR analysers for use by farmers, grain traders, grain processors and food manufacturers. The challenge has been to design instrumentation that is powerful yet simple to operate and maintain.
Near-infrared (NIR) spectroscopy has been widely accepted for use in the food and agricultural areas, beginning with the work of Karl Norris at the USDA to develop quality methods for agricultural products.
Grains are a group of foods that includes maize, oats, barley, wheat, rye, sorghum and others. As widely reported, grain products are divided into two categories: refined and whole grain. The earlier is achieved by food manufacturers through milling, whereby the germ, bran and the endosperm are removed. The latter is just the whole grain itself. Grain milling is the milling of flour and rice; the malting of grain (primarily barley); and the mixing of prepared flour mixes and dough. Maize, rice and wheat constituted 87 percent of all grain production worldwide and 43 percent of food calories in 2003.
This document provides information about the BioPAT® ViaMass system for online biomass monitoring in single-use fermentation systems. It summarizes that the BioPAT® ViaMass uses radio frequency impedance to continuously monitor biomass levels without being affected by movement of the media in stirred tank fermenters. It also works in rocking motion systems by implementing filters to account for liquid level fluctuations. The system consists of electronics, cables, and single-use sensor patches integrated directly into single-use bags like Flexsafe®. It provides standardized, easy-to-use online biomass measurements tailored for single-use fermentation processes.
NIR Multi Online Technology: Real-time analysis for early detection of grain ...Milling and Grain magazine
In the grain processing industry, fluctuations in the quality of the raw materials are a given. The earlier the fluctuations are determined, the better the chances are that adjustments and the associated costs, can be kept low.
PlantScreen™ Modular Systems | QubitPhenomics.com.pdftachet
Qubit Systems develops modular plant phenotyping systems called PlantScreen for automated multidimensional analysis of plant growth and physiology. The PlantScreen Modular System uses a conveyor to move plants through different imaging stations for traits like color, chlorophyll fluorescence, hyperspectral analysis, and temperature. It also has controlled environment chambers and stations for watering, weighing, and nutrient delivery. Comprehensive software controls the system and stores/analyzes imaging and environmental data. Custom systems can be designed to fit specific research needs.
CODET: Revolutionizing how we tackle food wasteKwasiTano1
With over 1 trillion of food wasted annually, codet aims to tackle this by focusing on understanding and predicting fruit maturity to determine the shelf life and quality of the fruit.
The document discusses new dimensions in seed quality assurance. It explains that quality assurance ensures seeds meet minimum quality standards and provides uniformity. Key parameters for quality include variety, purity, physiological status, and health. Quality control tests seeds using standard procedures in accredited labs. Newer dimensions include more precise tests to differentiate similar varieties, reliable GM tests, automation to reduce errors, and guidelines for seed enhancement protocols. Molecular markers can help verify identities, test purity and traits, and detect GM presence. Automation shows potential to improve accuracy by eliminating human error in tests like germination and purity analysis using machine vision and AI. Seed coating, pelleting and new priming technologies can also enhance seed quality but require standardized protocols and rules.
Application of soft computing in food processing sectorRamabhau Patil
This document discusses the application of soft computing techniques in food processing. It begins by providing background on the size and growth of the food processing industry in India. It then contrasts hard and soft computing, noting that soft computing can handle imprecise and uncertain data. The rest of the document provides examples of different soft computing techniques applied to problems in food processing, such as fuzzy logic for process control, neural networks for crispness analysis and disease detection, genetic algorithms for extrusion optimization, and Bayesian inference for quality classification. It concludes by discussing potential areas for further research.
This document provides an overview of Testo's measurement solutions for the pharmaceutical and healthcare industries. It discusses the need to monitor parameters like temperature, humidity, and pressure in laboratories, production facilities, storage areas, transportation, and healthcare settings. It highlights Testo's portfolio of products that include data loggers, transmitters, and monitoring systems that help ensure quality standards are met.
The document describes STRATEC Molecular's portfolio of nucleic acid purification kits and sample preparation solutions. It highlights the InviGenius automated nucleic acid purification system, which can process 12 samples directly from primary tubes to PCR-ready DNA/RNA. It also discusses the PSP SalivaGene DNA Kit for non-invasive saliva collection and DNA stabilization at room temperature for 12 months, and the PSP Spin Stool DNA Plus Kit for integrated stool sample collection, transport, and DNA purification.
Case Study - BinSentry - English Version.pdfssuserdb1cc2
Detecting more than fill level in farmers’
bins with machine vision
How INO and BinSentry are revolutionizing the animal
feed supply chain industry with 3D sensors.
ino.ca SHEDDING LIGHT
Case study
DETECTING MORE THAN FILL LEVEL IN FARMERS’ BINS WITH MACHINE VISION INO — CASE STUDY I 2
close collaboration
An agricultural Iot company specializing in feed
supply chain solutions, BinSentry is helping to
reduce feed costs and eliminate operational
efficiencies in the animal feed industry through
highly accurate inventory monitoring of onfarm feed bins. Their flagship solution was
based on a LiDAR system which used a single
beam pointing downward from the top of
the feed bin to detect diminishing feed levels.
Understanding how even the slightest
disruption in the supply of feed for the
farmer’s livestock can result in significant
losses and increased costs, BinSentry was
interested in developing a solution which
would provide farmers and feed mills a highly
accurate portrait of feed inventory levels inside
the bins in real-time.
Looking to leverage INO’s expertise in
machine vision based on 3D sensors,
BinSentry approached INO for consultation
and assistance to go further with their idea.
BinSentry and INO collaborated on this project
from 2018 to 2022.
the client
BinSentry
Kitchener, ON
https://www.binsentry.com
Project date: 2019-2022
With BinSentry’s best-in-class 3D sensors
and innovative software, feed mills and
producers are reducing feed waste and
miles traveled, optimizing truck loads,
and eliminating accidents from climbing
bins as they work to provide high-quality
protein for a growing global population.
DETECTING MORE THAN FILL LEVEL IN FARMERS’ BINS WITH MACHINE VISION INO — CASE STUDY I 3
Detection of fill levels
It is critical for livestock farmers to keep track
of how much feed is in their bins to ensure a
steady inventory to avoid feed outages and
overfills. To determine feed levels, farmers
may manually check the bins by climbing to
the top of it to measure the height of the grain
or hitting the side of it with a rubber mallet
to estimate the remaining feed level. These
traditional methods often result in inaccurate
and unanticipated, low inventory levels.
Operational efficiency
Feed mills rely on farmers to report when
their feed bins are going to be empty. Delayed
reporting or inaccurate data can result in
last-minute orders, causing disruptions in
production schedules and delivery. These
inefficiencies in operations result in increased
costs for raw materials, transportation, and
labour for feed mills.
Addressing the Challenges –
From farms to feed mills
DETECTING MORE THAN FILL LEVEL IN FARMERS’ BINS WITH MACHINE VISION INO — CASE STUDY I 4
A customized solution for accurate detection
When BinSentry and INO began working
together, INO’s remote sensing team
demonstrated the use of a time-of-flight
camera module for collecting 3D profile
measurements, which led to testing prototypes
in feed bins. INO then worked with BinSentry
to de
Se application notes_smartindustry_moistureAnne Stiegler
Spectral Engines has developed miniature near-infrared sensors that can quickly and accurately measure moisture content, including at ultra-low levels below 0.1%. These sensors offer benefits like speed of analysis in under a second, minimum sample preparation since they can be used directly in processes, and high accuracy. The sensors have been demonstrated to work well for moisture measurement in various industries like pharmaceuticals, food processing, paper manufacturing, and more. They can integrate easily into processes and portable devices due to their small size and affordable price.
VEGA Pressure & Level Measurement - Food Industry ApplicationsThorne & Derrick UK
This document provides information on VEGA's measurement technology solutions for the food industry. It discusses their modular plics® instrument system which allows for customized sensor, fitting, electronics, and housing combinations. It also highlights VEGA's focus on hygiene, cleaning capabilities, material selections, and certifications important for food safety. Application examples described include measuring level, pressure and point level in processes for raw milk, ice cream, yogurt, chocolate, fruit, and alcohol production.
The document outlines the timeline of agricultural development from the Neolithic Revolution to the potential of farming on Mars. It describes how agriculture has evolved from early sedentary farming and domestication 10,000 years ago, to subsequent revolutions brought by improved crop rotations, mechanization, biotechnology, and now smart farming technologies using IoT. The rise of IoT solutions such as wireless sensors, base stations, and monitoring software is allowing real-time data collection and analysis to optimize farming processes, reduce costs, and save time previously spent on manual data collection.
Similar to Grain & Milling Analysis Solutions (20)
We know that measuring quality parameters in raw fish meat and processed fish meat products ensures that you meet end-product declarations and get the right price for your products.
FOSS wine analysis solutions were introduced to the wine industry in 1999 and quickly became a leading force in quality control of wine at all stages of production. Thousands of wine producers and laboratories across the wine industry have discovered the ability to deliver rapid and accurate results that winemakers demand.
With over 30 years of experience in the meat industry, FOSS is known as the leading global provider of a versatile range of meat analysis solutions, from laboratory to at-line and in-line solutions that use everything from traditional wet chemistry reference methods to the most advanced analytical methods, such as near infrared (NIR) and X-ray.
Raw milk holds a wealth of valuable data that can help us to make significant improvements in the dairy milk supply. For over 40 years, FOSS has worked to unlock this value by
developing dedicated analytical solutions for central milk testing laboratories, allowing you to offer an unrivaled range of services within dairy herd improvement and payment analysis.
2. Secure the best raw material
Plant breeding
The super grain that will save the
world’s food problems – unlikely to be
found, but ongoing research in plant
breeding is leading to higher yields
along with disease and pest resist-
ance.
FOSS analytical solutions provides
convenient routine analysis options
with either near infrared (NIR) or auto-
mated chemical analysis for reference
analysis.
On Farm
What is the crop really worth? Deter-
mine how you can get the best value
by segragating and/or blending before
delivery. When and where should we
start harvesting in order to attain the
highest yield? If it can’t be measured it
can’t be managed.
On farm testing with FOSS equipment
gives accurate measurements in line
with those at the receival site.
Receival
Grain testing is now faster, easier
and more accurate for payment and
segregation. Most grains, oilseeds
and pulses can be analyzed directly
without any sample preparation and,
thanks to technology developed by
FOSS, you get correct results whatever
the weather.
Today, over 10,000 FOSS analyzers
are in use for testing grain at receival
sites. The InfratecTM
grain analyzer is
the official system used for payment
by grain handlers around the world
and has approvals for trade purposes
in most grain producing nations.
3. and put it to the best possible use
Intake
Virtually instant measurements of key
parameters such as moisture and pro-
tein/oil content allow you to decide
how to store and use raw material
while crushing or milling.
In production
In the process, continuous measure-
ments keep you informed avoiding
costly surprises. This allows you to
also proactively evaluate your produc-
tion line.
Final products
Rapid and reliable tests allow you and
your customers to be confident with
the final product. You’ll feel more
secure knowing that your shipments
meet all standards.
4. FOSS solutions include the ability to present small and deli-
cate samples without destroying the sample. In addition
to protein, moisture and oil in grain, other ready-to-use
application models are available such as extract for beer
production and moisture in green malt.
For the many additional applications, users can develop
their own calibrations using FOSS calibration development
software, just one example currently in use is the analysis
of nitrogen in rice leaves as the taste of rice is deeply
related to its protein content.
The high transferability of calibrations and the ability to
link instruments in a network allow instruments and re-
sults data to be coordinated from a central location which
guarantees identical results in all locations.
Reference analysis
Robust and reliable reference methods are required to
develop the calibrations or equations upon which indirect
NIR analyzers depend. Automated testing systems that
generate rapid and well-documented results are essen-
tial for quality management in today’s busy laboratories.
Chemical Analysis systems address the needs of labora-
tories with a wide range of tried and tested automated
solutions.
In addition, a significant volume of analyses remain within
the laboratory environment for QC/QA, labeling and prod-
uct development purposes. In order to support compli-
ance within governmental bodies and Quality Assurance
programs, FOSS offers documentation for equipment
qualification covering installation and operational quali-
fication (IQ/OQ) as well as performance qualification (PQ).
Plant breeding with near infrared (NIR)
or automated chemical analysis for
reference analysis
Solutions to consider:
InfratecTM
NOVA with sample transport module for a wide variety of tests.
Automate chemical analysis with the KjeltecTM solution for nitrogen. High
sample throughput is made possible using the Kjeltec Auto Samples in the
micro Kjeldahl mode.
Calibration development software
WinISI™ is a comprehensive chemometric package
for developing powerful calibrations for near infrared
based instruments. It makes it possible for anybody
with basic chemometric knowledge to make sophisti-
cated calibration models.
InfratecTM
NOVA with sample transport module
The sample transport module consists of an elevator
unit that is installed in the instrument itself, and cu-
vettes that can be filled with the portion to be ana-
lyzed. This enables you to measure cooked rice, green
malt, plant tissue and beer. A single ear of grain can
be measured without destroying the sample.
5. The idea of giving farmers a portable instrument to
measure grain in the field is nothing new; however, until
recently, matching the measurements in the field with the
receival site has been problematic.
On farm measurements with FOSS equipment (InfratecTM
Sofia) are fully aligned with the results given by pay-
ment analysis at the receiving station (Infratec NOVA or
Infratec Sofia). The Infratec NOVA has a number of ap-
provals for trade purposes and is the official system used
for payment by bulk grain handlers around the world.
Deliveries can be made safe in the knowledge that they
won’t be rejected for excess moisture. Grain can be seg-
regated and blended on farm for optimal price according
to market demands. For example, a difference of just
0.1% in protein can mean the difference between high
and low premium payment in certain years and markets.
Keeping it all up to date
FOSS solutions can be connected to the internet which
means a farmer testing grain in a field miles from the
nearest town can still be an integrated part of the supply
chain.
Measurements are reliable at every point of the journey
from field to table with a web-based system which keeps
grain analyzers up to date. For instance, adjustments and
improvements to calibrations according to season changes
can be accurately documented and taken into considera-
tion.
On farm analysis with aligned near infrared
Solutions to consider: InfratecTM
Sofia
New calibrations? No problem
Infratec Sofia was initially programmed for the meas-
urement of protein and moisture in wheat and barley.
There is now an option to easily upgrade with addi-
tional commodity calibrations. They are simply down-
loaded via the internet and transferred to your unit at
the click of a button.
Ready to go
In the harvester, tractor or your car, InfratecTM Sofia
goes where you go. Mobile, rugged, and designed for
operation in harsh conditions, Infratec Sofia is ready
for use wherever you are.
6. Rapid analysis at the weighbridge has become indispen-
sible for modern grain receival. Today, over 10,000 In-
fratecTM grain analyzers are in use for testing grain at
receival sites. The Infratec is the official system used for
payment by bulk grain handlers around the world and
has a number of approvals for trade purposes.
Grains, oilseeds and pulses can all be tested quickly, easily
and accurately for payment and segregation. Most can
Receival and trade with
rock solid near infrared analysis
Some of the main commodities that can be measured quickly and accurately at receival:
Grains: Wheat, durum wheat, barley, corn, oats, rye, triticale, sorghum/milo, rough rice
Oilseeds: Soybean, rapeseed/canola, sunflower, cotton, peanuts
Pulses: Lentils, faba beans, chick peas, green peas, lupins
Solutions to consider:
InfratecTM
NOVA, InfratecTM
Sofia,
AlphatecTM
FNO
be analyzed directly without any sample preparation and,
thanks to the Infratec stabilizing technique patented by
FOSS, you get accurate results whatever the weather.
The world-renowned Infratec database comprises over
50,000 samples, PLS and extensive ANN-based calibra-
tions building on a wide sample range from many years
of harvests. This provides a level of accuracy and stability
that enables you to test even the most unusual samples..
7. StableGlobal calibrations
Advances in NIR analysis are built on a well-proven tech-
nology base. This table shows protein % of wheat sam-
ples measured across a broad temperature range.
Grain processing is truly a global industry with raw materi-
als being traded in international markets.
FOSS global calibrations are developed using data ob-
tained from over 50,000 samples from more than 20
harvests collected from all over the world. Calibrations
have been developed in collaboration with regulatory
authorities and customers alike.
The unique development of Artificial Neural Networks
(ANN) has created large calibration models that cover
multiple products. Calibrations are continuously being
expanded with new raw materials and updated with new
data to ensure the latest crops and varieties are covered.
- 5˚ C +5˚ C +24˚ C +40˚ C +45˚ C
1 10.5 10.5 10.6 10.7 10.8 10.7
2 11.5 11.4 11.4 11.3 11.3 11.5
3 12.5 12.4 12.3 12.2 12.3 12.5
4 13.5 13.4 13.3 13.2 13.4 13.4
5 15.4 15.4 15.4 15.3 15.5 15.4
INFRATEC™ NOVA
REFERENCE
WHEAT
SAMPLE
PROTEIN %
Falling number analysis with AlphatecTM
FNo
At grain receival, the standard falling number analysis
is important for measuring soundness of traded grain.
The test is based on the alpha-amylase enzyme activity
which helps to spot sprouting damage. It is also impor-
tant for monitoring and controlling flour enzyme activity
to ensure top quality of bread, pasta, noodles and malt.
AlphatecTM
FNO
offers a new alternative for testing
the standard AACC Method AACC56-81B ‘Determi-
nation of Falling Number.’
The new AlphatecTM
FNO
from FOSS is a modern in-
strument for falling number analysis with innovative
features including:
• Cooling lid minimizes rush of steam when loading
samples, helping avoid potential injury
• Insulated sample bath avoids hot surfaces and re-
duces risk of inadvertent burns
• Overflow direct into waste eliminates hot water
spillage
• User friendly interface and touch screen reduces
training cost by allowing rapid, error-free use by
anyone
A Test Weight Module allows rapid and accurate volume
weight determination of the grain for milling potential
and efficient silo management.
Networked instruments
Payment analysis must deliver unquestionable reliabil-
ity and uniformity, regardless of location and operating
conditions – a requirement that networked Infratec in-
struments have effectively addressed by giving identical
measurements, wherever they are located. All major grain
producing countries now use FOSS ANN calibrations and
the Infratec system.
Infratec networks have been recognized by commercial
and governmental authorities from the introduction of
the first network in 1991 and today, more than 7,000
Infratec instruments are linked in global networks.
Smaller grain receival sites
Knowing the quality of your grain is just as important for
smaller, low infrastructure sites for segregation and mar-
keting of grain. The Infratec Sofia is a low-cost analyzer
offering reliable measurements aligned with the Infratec
grain analyzer.
Infratec Sofia measurements are based on the same com-
prehensive data used to calibrate Infratec instruments. As
new calibrations are released, they are simply downloaded
via the internet and transferred to the Infratec Sofia unit
ensuring that your results are accurate and reliable every
time.
8. FOSS solutions add significant value when acquiring grain
for milling wheat flour, semolina, soy meal, ground wheat,
middles, rice meal, corn meal, etc.
Moisture and protein in batches of whole grain are meas-
ured as they arrive at the flour mill. This allows the perfect
blend of grain for consistent quality products later in the
milling process. It also helps to improve the tempering
process by determining the right timing, use of energy
and water according to the exact nature of the grain.
Bench top analysis at intake with volume/weight
determination
Robust, easy to use, bench top solutions can be positioned
at the weighbridge for a virtually instant test. In addition
to testing moisture and protein, a bench top solution can
measure Test Weight for an accurate volume weight deter-
mination of the grain. Test Weight is a widely recognized
specification in grain grading because it is related to the
degree of quality. It is often used as an index of milling
potential. Moisture content, climate conditions, kernel
size, density and packing factors affect test weight. The
volume weight can also be used as a silo management
tool to achieve the optimal storage space in the silo.
Process analysis of grain intake
Recently, the concept of using near infrared analysis for
periodic testing of grain deliveries has been taken a step
further by FOSS with the ProFossTM whole grain analyzer.
This system can measure entire batches of grain using a
specially designed sample interface that analyzes the grain
as it is conveyed in a standard pipe or transport system
without the need for sample diverters. It then feeds a
continuous stream of analysis data back to a computer
in your control room.
Flour milling intake and processing
Ash is cash: improved levels of accuracy provided by new
NIR technology is helping millers save thousands of dollars
through better yield.
Solutions to consider: InfratecTM
NOVA, ProFossTM
whole grain analyser,
NIRSTM
DS2500, NIRSTM
DA1650, AlphatecTM
FNO
9. Rapid, routine analysis with FOSS instruments gives a
higher level of knowledge in milling and is setting new
standards for quality control in the ancient art of produc-
ing flour.
With reliable information about moisture, protein, ash,
gluten, water absorption and other key parameters, you
can improve the consistency of end products and the en-
tire milling process. For instance, new levels of accuracy in
measuring critical parameters such as ash offers improved
yield. The instruments comply with ISO 12099 standards
and are tailor made for routine analysis in a laboratory or
close to the production line.
In the laboratory or control room
Bench top analysis can be performed fast and easy by
anyone working in the plant. The sample is simply poured
into a cup and placed in the instrument. The latest NIR
technology allows results to be displayed on a screen
within 60 seconds. Bench top solutions can control mul-
tiple process streams at once.
An eye in the process
In addition to bench top analyzers, NIR analysis can be
applied directly into the process stream. Taking measure-
ments every few seconds, solutions such as ProFoss™
provide critical information about your process 24/7 for
optimal quality products and improved profitability in flour
analysis. Millers are saving on average $0.80 per ton by
moving analysis in-line.
Process variations are monitored using a trend chart. A
moving average function enables the detection of process
variations that are significantly smaller than the standard
error of prediction (SEP) of a laboratory analyzer. Even
if one result is incorrect, the overall result will not be
influenced as a new result will be generated a few seconds
later.
Improved profitability with rapid NIR analysis
during milling process
10. Take control
Whether you work in oil-seed trading, crushing and re-
fining, meal production or traditional production of olive
oil, reliable measurement results delivered in a simple,
timely way give you more power to control production for
optimal quality and profit. Analysis results for key control
parameters are delivered in a fast, convenient way to help
you simplify lab operations, avoid rework in production,
ensure end-product quality and get the very best out of
valuable raw material.
The key to oil crushing starts by controlling the quality
of the raw material at the intake. Throughout the
subsequent production cycle, FOSS dedicated analytical
solutions deliver rapid reliable information in a simple and
convenient way to help you to improve your profitability.
For example, FOSS solutions can help in oil crushing to
control the quality of the oil seeds at the intake so that
you pay for what’s really important - the oil content. An-
other example can be taken from vegetable oil refinery.
Approximately 25 tons of edible oil can flow through a
typical vegetable oil plant every hour. The removal of Free
Fatty Acids (FFA) relies on the correct amount of inputs
- too little and you don’t remove all the FFAs, too much
and you waste good materials. Reliable and frequent
information from FOSS solutions provides more power
to control production, reduce the risk of re-work and
ultimately improve profit.
Oilseed intake and crushing
Solutions to consider: InfratecTM
NOVA, NIRSTM
DA1650 Oilseed Crush Analyser, NIRSTM
DS2500,
ProFossTM
Soya, OliviaTM
, XDSTM
Rapid Liquid Analyser.
11. 1. Raw material at the right price - Pay the best price for
oil seeds on an objective measurement of oil content and
moisture.
2. Quality in, quality out - Make fast and accurate spot checks
on crude oil before it enters your refining process or check the
oil content of seeds before they enter the crushing process.
3. Avoid re-work - Continuous measurements of moisture,
protein and oil content in soybean meal directly from the
production process helps you to improve efficiency while also
improving quality and profit.
4. Segregate for profit - A fast and accurate indication of how
your olive oil matches up to IOOC standards allows you to
segregate batches for maximum profit.
5. Effective lab work - Take advantage of fast and safe meth-
ods of conducting standard wet chemistry analysis.
6. Act now - Key information delivered instantaneously gives
you the power to spot problems and act promptly.
7. Improve operations with automatic control - Integrate a
FOSS process control solution into your production and enjoy
hands-free monitoring/control 24 hours a day.
8. Your own on-site laboratory - Practical and easy-to-use
FOSS solutions avoid down time between results that exist
when using an external laboratory.
9. Enhance your reputation with consistent products - Check
finished batches and prove to customers that products match
required specifications.
All in one, soy bean analysis
The InfratecTM
NOVA can be used to control soy beans
for oils and moisture at intake. You can also use the
same unit to test soy meal for moisture, fat, protein and
fiber at the end of the process with the sample transport
module option.
Rapid analysis of oil composition
Using rapid near infrared solutions such as the FOSS XDSTM
Rapid Liquid Analyzer, you are able to analyze virtually any
liquid or viscous suspension in both laboratory and at-line
situations. Determination of FFA, moisture, Phosphorous,
IV, K232, K270 and PV in less than a minute allows full and
rapid control of the vegetable oil refinery process or olive
oil segregation.
Improving yield in olive oil production
Rapid analysis of fat and moisture in olive paste and pom-
ace with the smart, easy to use OliviaTM
analyzer is an
obvious way to improve yield, for example, by ensuring
the pressing process is as efficient as possible.
Optimal process control with inline NIR
Continuous measurements of moisture, protein and oil
content in soybean meal directly from the production
process helps you to improve efficiency while also improv-
ing quality and profit.
Typical applications for FOSS solutions
Nine good reasons to consider FOSS solutions for the oilseed crushing and edible oil industry
12. Near infrared reflectance and transmittance
FOSS solutions use either near infrared transmittance or near infrared reflec-
tance technology according to particular sample needs. For instance, near
infrared transmittance is used when measuring whole grain in the InfratecTM
NOVA grain analyzer. Measurements are made in a lower wavelength range,
850 – 1050 nm. The higher energy level of the light in the lower range al-
lows for deeper penetration into the grain kernels. The surface as well as
the inner part of the kernel is measured, giving a superior representation
of the sample analyzed.
In contrast, measuring samples such as flour uses near infrared reflectance across a broad wavelength from
1100 nm up to 2500 nm which is ideal for testing parameters including ash, moisture, protein and color. FOSS
solutions such as the NIRSTM DS2500 have a unique signal-to-noise ratio giving an ultimate measure of ash
and other low level parameters in need of accuracy. In addition, a combination of cup rotation and sub-scans
measures different points in the sample for accurate results.
Technology overview
Near infrared in the process
Near Infrared can also be applied directly in the process flow with the ProFoss™
analyzer. For instance, in flour milling, the ProFoss can be mounted directly in
the milling process where it measures the flour as it flows through the pipes for
moisture, protein and ash every few seconds. The results are fed back to a com-
puter in the mill control room and displayed on an intuitive graphical interface.
Measurements are made using a high-intensity dual-lamp light source that illuminates the sample directly or
through an optical fiber. The light interacts with the sample and the reflected or transmitted light is measured
by the diode array sensor. The complete wavelength range is measured instantaneously enabling measure-
ments to be accurately carried out even on fast moving samples. Calibrations are transferable between units
and integration to process regulations systems can be performed through the FOSS OPC interface or through
an analogue signal.
Networking options
Mosaic™ is a networking solution that remotely manages, configures and
calibrates all of your analytical instruments.
A network comprises a group of standardized instruments controlled from
a Network Administration Center ensuring that all units will give the same
performance independent of operator or location. The master instrument is
also used to monitor the accuracy of the calibrations. The entire network can
quickly be updated or upgraded with new calibrations from the center. Calibration costs are reduced, admin-
istrative routines are simplified, and duplication of effort is eliminated.
13. Calibrations and transferability
In relation to near infrared instruments, ready-to-use Arti-
ficial Neural Network (ANN) calibrations are a key part of
the FOSS solution. Data collection over the past 25 years
reflects seasonal and geographic variations creating a com-
prehensive and stable calibration library. FOSS has achieved
a unique position as the global standard for advanced grain
analysis operations.
New instruments are backwards-compatible with the older
calibration databases. In this way, databases have continu-
ously been expanded and today the largest ones contain
more than 50,000 samples. Continuous design improve-
ments over successive generations of instruments have also improved the stability and uniformity of individual
instruments leading to excellent calibration transferability across populations of instruments with very little
calibration adjustment required.
The robustness of the ANN calibration manifests in its long term
stability as shown in this Figure. Average deviations of predicted
protein results from the best estimate of the true value during
the past five years, pink = global ANN and dark blue = local ANN.
Stability for protein in wheat and barley
Imaging technology – the new frontier
Revolutionary image analysis developed by FOSS and used in the EyeFossTM
analyzer gives grain receivers the world’s first objective assessment of
grain quality. It performs an objective assessment of a grain sample using
imaging technology as an alternative to quality checks with the human
eye. The technology classifies 10,000 single seeds for 10-15 defects in
about three minutes with respect to foreign objects and malformed/
damaged objects (for example, pre-germinated, frost-damaged, mould
and discolored kernels). The algorithmic part is based on decision trees in combination with simple logic deci-
sions and complex neural network model decisions based on around 140 features extracted from the images.
Automated laboratory methods
Standard methods such as Kjeldahl and Dumas are not always the
most convenient tests to perform, but are nonetheless essential for
reference and labeling purposes while the standard falling number
test remains the only effective way to test for weather damage at
grain receival.
FOSS automated laboratory solutions include many innovative features
designed to make these ubiquitous tests as fast, cost-effective and
safe as possible. The cooling lid on the AlphatecTM
FNO
analyzer for
example, helps avoid a rush of hot steam when loading samples. For Kjeldahl, batch handling automation offered
by the KjeltecTM
improves throughput of samples and for Dumas, the software system with the DumatecTM
8000
makes it easy to control the combustion with great precision for minimal consumption of oxygen and helium.
y p y
Harvest 2006-2013
Dev.%protein
14. Offering unparalleled levels of speed and usability, InfratecTM
NOVA
can test grain at rates up to 20% faster than other NIR solutions.
Using FOSS Dynamic Sub-sampling™ technology, the instrument
can recognize a normal sample and handle it faster, whereas unusual
samples are given more sub-sampling for greater confidence. In ad-
dition, true networking and identical instruments reduce instrument
management work required for consistent test results throughout
grain receival networks. There are optional modules for flour analy-
sis, test weight and flexible sample handling while the solution also
offers a wide range of ready-to-use applications covering all steps
in the agricultural handling chain.
Parameters: Moisture, protein, oil, test weight and many more
For use by: Grain producers and traders
Technology: Near infrared analysis (NIR)
Samples:
Grains: Wheat, durum wheat, barley, corn, malt, green malt, oats,
rye, triticale, sorghum/milo, rough rice, brown rice, milled rice
Oilseeds: Soybean, rapeseed/canola, sunflower, cotton, peanuts
Beans & Pulses: Lentils, faba beans, chick peas, green peas, lupines
Flour & meals: Wheat flour, semolina, soy meal, rice meal, sunflower
meal
Other: dried distillers grain, beer, whiskey, spirits, wort
The fully portable Infratec™ Sofia whole grain analyzer measures
protein, moisture and oil in the field or at smaller receival sites. It
is pre-calibrated for wheat, barley and canola and calibrations are
based on those of the Infratec grain analyzer, officially approved
and widely used at receiving stations.
Parameters: Moisture, protein, oil
For use by: Large-scale farming operations
Technology: Near Infrared Transmission
Measuring speed: Results within three minutes, no sample prepa-
ration
Samples: Wheat, barley, rapeseed, triticale, rye, oats, durum
Infratec™ NOVA
Infratec™ Sofia
15. Profoss™ is an in-line process analysis solution employing high-
resolution technology for accurate monitoring of your production
process. Advantages include improved yield and profit achieved
through savings in raw materials and consistent product quality.
Millers are saving on average $0.80 per ton by moving analysis
in-line.
A number of solutions are available including:
• ProFoss for whole grain analysis, based on continuous
measurements of grain in transport system at intake
• ProFoss for flour milling based on continuous measurements
of flour directly in the process pipe
• ProFoss for soy based on continuous measurements of soy meal
at the end of the process
Parameters: Protein, moisture, ash and oil, depending on application
For use by: Grain and soybean millers
Technology: Near Infrared Reflectance
Measuring speed: Measurement results every few seconds
The XDS™ Rapid Content and Rapid Liquid Analyzers provide rapid
nondestructive analysis of virtually any solid, viscous and liquid
samples making it ideal for research laboratories. Advanced NIR
technology and a full spectrum, 400-2500 nm, research grade
spectrometer gives you maximum performance and full flexibility in
your choice of analytical parameters.
The auto sampler option for the XDS Rapid Content Analyzer allows
you to load multiple samples and walk away. Non-stop analysis of
up to 50 samples can be performed for increased throughput and
effectiveness in the laboratory.
Parameters: Multi-parameter including protein, fat, moisture, fiber,
starch, amino acids and more, depending on application
For use by: Laboratories, food and feed producers
Technology: Near Infrared Transmission, Near Infrared Reflectance
Measuring speed: Results within three minutes, no sample prepa-
ration
Samples: Multiple applications - virtually any solids analysis from fine
powders to coarse granular materials, pellets and flakes, as well as
liquids and slurrys in transflectance mode using reflectors
XDSTM
Rapid Content and Rapid Liquid Analyzers
ProFoss™
16. The NIRSTM
DS2500 analyzer helps millers to boost yield by provid-
ing an accurate measurement of protein in flour as well as unique
accuracy regarding ash. Robustness coupled with groundbreaking
performance in near infrared (NIR) guarantees highly accurate ash
measurements by anyone, anywhere, at any time.
The DS2500 has a wavelength range between 400-2500 nm. It has
two detectors; one in the wavelength range 400-1100 nm made of
silicon and one made of Lead Sulfide between 1100-2500 nm. The
Spectral resolution is 0.5 nm resulting in 4200 data points/variables.
Parameters: Multi-parameter such as protein, ash, moisture, color
and more depending upon application
For use by: Flour millers and oil seed crushers
Technology: Near infrared analysis (NIR)
Measuring speed: Results within a minute, little or no sample
preparation
Samples: Wheat, flour, oilseeds and oilseed products
The NIRSTM
DA1650 Flour Analyzer gives flour millers a dedicated,
purpose-built quality control tool, ready-to-use for many flour types
with innovative features for a lasting return on investment.
For oilseed crushing, the NIRS DA1650 Oilseed Crush Analyzer al-
lows anyone to get reliable measurements for whole seeds, cake,
flakes, meals and oils while true networking capability and simple
touch-screen operation keep running costs lower than other NIR
solutions.
Both models are ISO 12099 compliant and IP65 certified to with-
stand dust and moisture making them ideal for accurate routine
analysis either in the laboratory or close to the production line.
Parameters: Multi-parameter such as protein, ash, moisture color
and more depending upon application
For use by: Flour millers and oil seed crushers
Technology: Near infrared analysis (NIR)
Measuring speed: Results within a minute, little or no sample
preparation
Samples: Wheat, flour, oilseeds and oilseed products
NIRS™ DS2500
NIRS™ DA1650 Flour / Oilseed Crush Analyzer
17. The world’s first image analysis instrument suitable for the objective
quality assessment of whole grain helps you to assess incoming grain
quickly with greater consistency and less strain on operations during
the busy harvest season. Assess grain quality objectively at the press
of a button and monitor your grain receival network from anywhere
at any given time.
The EyeFossTM
is currently calibrated to provide results for the follow-
ing tests in wheat and barley:
Wheat:
Un-millable material, small foreign seeds, stained grain, pink grains,
frosted and sprouted grains
Type 7B seeds (barley, oats, wild oats, saia oats, triticale, cereal rye,
bindweed, turnip seed, speargrass)
Barley:
Small foreign seeds, radish pods, spotted mould affected, germ end
stained, skinned, distorted
Type 6 seeds (wheat, triticale, cereal rye)
Type 7A seeds (oats, wild oats, black/brown oats, speargrass)
AlphatecTM
FNO
, is a modern and safe way to perform the standard
test used to check sprouting damage in grain and enzyme-activity
in flour before baking, malting etc.
As a safe and user-friendly solution, it offers a new alternative for
testing the standard AACC Method AACC 56-81B ‘Determination
of falling number’. Alphatec FNO
includes a specially designed cool-
ing lid lid that minimizes the rush of steam when loading samples,
helping avoid potential serious injury. A fully insulated sample bath
avoids hot, scalding external surfaces and reduces risk of inadvertent
burns. An overflow directly into waste stops hot water spillage on
the bench or near the work area. A touch screen interface reduces
training costs by allowing rapid, error-free use by anyone.
Parameters: Weather damage and alpha-amylase and related en-
zyme activity in grain and flour
Samples: Whole wheat
AlphatecTM
FNO
EyeFoss™
18. Patented techniques for accurate, safe
and reliable laboratory testing
In the field of wet chemistry, FOSS provides solutions designed to simplify routine laboratory analysis. Our radically
improved Kjeldahl, Soxhlet, Weende and van Soest wet chemistry reference methods meet the highest standards and
dramatically reduce laboratory time and costs.
FibertecTM
Systems
KjeltecTM
System
SoxtecTM
Systems
Digestion Systems
Dumas method
The FibertecTM
8000 is a fully-automated solution for unattended determination of crude
and detergent fiber, with innovative features that ensure maximum safety in the laboratory.
The Fibertec 8000 offers the lowest operator time of any fiber solution and can handle up
to six samples simultaneously.
The KjeltecTM
8000 series consists of three models: 8100, 8200, and 8400, for simple and
safe distillations with different levels of automation. The Kjeltec 8400, in combination with
8420 or 8460 sampler and Tecator AutoLift digesters, provides the ultimate in automated
Kjeldahl analysis (Approved by AOAC and ISO).
FOSS SoxtecTM
systems offer fast and safe fat analysis with varying levels of automation.
The Soxtec 8000 range consists of an extraction unit, a hydrolysis unit, and a single filter
that is common to both units. This allows you to perform acid hydrolysis and Soxhlet
analysis in one integrated action.
Digestion systems, with integrated programmable controllers, provide economical and
efficient digestion for Kjeldahl analysis. A number of units can be combined to match
individual needs, ranging from units capable of handling just a few samples a day up to
fully automated systems for high sample throughput.
The Dumatec™ 8000 performs rapid and convenient nitrogen/protein analysis according
to the Dumas method, giving busy laboratories reliable results in just three minutes at
a low cost per sample. Innovative features reduce start-up time and extend consumable
lifetime while software functions allow desktop-operation and traceability.
Sample Mills
FOSS provides tailored sample preparation equipment for all types of samples analyzed in
the grain production chain.
19. Mosaic™
Mosaic™ is a networking solution that remotely manages, configures and calibrates
all your analytical instruments. Our specialized NIR team carries out all updates and
calibrations centrally for improved instrument performance. This saves you time and
has been shown to significantly reduce costs.
20. Centralized calibration, management
and configuration of instruments
For grain and milling companies, and particularly the ones with multiple sites, our sophisticated networking
tools enable internet-based remote instrument monitoring and diagnostics. With this software, internal or
external experts can precisely configure and monitor FOSS instruments regardless of their location. Calibration
updates and bias corrections are fast and safely handled centrally through the network. Plus the system can
be monitored on a daily basis.
Because the machine has the ability to link directly to FOSS via the internet,
and receive and transmit data, I have confidence of ongoing back-up support for
the machine’’
“… Networking with FOSS first of all provides us with “peace of mind” as we know
there is a FOSS specialist managing and doing surveillance on our instrument. We have
outsourced all complexity related to running our instrument, calibrations, diagnostics,
etc. Networking makes sure that the performance of our entire setup is optimized at
all times hereby allowing us to focus on our real business.”
“… Adjusting slope/intercept, etc. is surely not my expertise so it is valuable having
FOSS do this.”
“… Having a large population of instruments the central security and management
aspect of networking is extremely important. Operating our instruments is no longer
dependent on having on-site specialists as all complexity is handled by our contact
at FOSS.”
21. FOSS
6509 Flying Cloud Drive Ste. 130
Eden Prairie, MN 55344
Tel.: +1 (800) 547-6275
Fax: +1 (952) 974-9823
info@fossna.com
www.foss.us
True value – the essential role of
analysis in global grain and milling
Today, routine analytical instruments are so stable that they can measure
grain within 0.1% protein in temperatures ranging from -5 ˚C to + 45 ˚C.
In fact, measurements with instruments like the FOSS InfratecTM grain
analyzer are based on a calibration database that includes tens of thousands
of samples from all over the world.
With a unique technology platform established over decades of work within
the grain industry, FOSS can offer the most comprehensive and forward-
thinking analytical solutions to help you improve your grain and milling
operations. From harvest to finished products, FOSS offers solutions for
improved quality control.
FOSS is a privately-owned company employing over 1,200 worldwide. FOSS
has manufacturing, research and development facilities in Denmark and
China. Solutions are sold and supported through FOSS sales and service
companies in 25 countries and by more than 70 dedicated distributors.
Visit www.foss.us for more information.