This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson explains the importance of record keeping, the benefits to farmers of the "Enterprise Record Keeping System' and how to set up a spreadsheet to start collecting farm data.
This chapter discusses choosing and setting up an effective farm accounting system. It explains that an accounting system should provide key financial reports, track revenue and expenses from production, investment, and financing, and consider using either cash or accrual accounting. The system output will include financial statements like a balance sheet and income statement to assess financial performance and inform management decisions.
This document provides an overview of farm record keeping and accounting. It discusses how farm record keeping is important for planning, decision making, obtaining credit, and tax purposes. It describes the key components of a farm record keeping system including income/expense ledgers, inventory records, depreciation schedules, and financial statements. It also discusses different record keeping methods and explains common business documents like invoices, receipts, and balance sheets used for accounting. Maintaining accurate farm records is presented as an essential management tool for farmers.
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...Saide OER Africa
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson provides information on what farming activities could be considered 'Enterprises" and incorporated into an Enterprise Accounting spreadsheet, how to use functions to calculate totals and averages within the spreadsheet program, customise formula using a spreadsheet program and how to customise the Enterprise accounting template.
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...PiLNAfrica
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson explains the importance of record keeping, the benefits to farmers of the "Enterprise Record Keeping System' and how to set up a spreadsheet to start collecting farm data.
This document describes a student's research project to design and implement a computerized information management system for a poultry farm. It discusses the aims of the study, which are to design a database application to easily maintain and access records for a poultry farm. The document reviews relevant literature and describes the research methodology, hardware and software requirements, system implementation, and output design. The conclusion summarizes that the system is intended to make record keeping more efficient and accessible for poultry farmers.
Irjet v4 iA Survey on FP (Growth) Tree using Association Rule Mining7351IRJET Journal
This document summarizes a survey on the FP-Growth algorithm for association rule mining. It discusses how FP-Growth is an effective algorithm that examines the transaction database only twice to generate frequent itemsets, unlike other algorithms. The document also reviews other association rule mining techniques like Apriori and discusses how FP-Growth avoids generating numerous conditional FP-trees.
IRJET-Clustering Techniques for Mushroom DatasetIRJET Journal
The document evaluates the performance of different clustering algorithms (Expectation Maximization, Farthest Fast, and K-means) on a mushroom dataset from the UCI machine learning repository. The algorithms are compared based on the number of correctly clustered instances and time taken to build the model. The mushroom dataset contains 8124 instances with 22 attributes classified as edible or poisonous mushrooms. The goal is to group similar mushrooms together using the different clustering techniques in the data mining tool WEKA.
Comparison Between High Utility Frequent Item sets Mining Techniquesijsrd.com
Data Mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Also termed as frequent itemsets mining, these techniques were based on the rationale that itemsets which appear more frequently must be of more importance to the user from the business perspective .In this paper we throw light upon an emerging area called Utility Mining which not only considers the frequency of the itemsets but also considers the utility associated with the itemsets. The term utility refers to the importance or the usefulness of the appearance of the itemset in transactions quantified in terms like profit , sales or any other user preferences. This paper presents a novel efficient algorithm FUFM (Fast Utility-Frequent Mining) which finds all utility-frequent itemsets within the given utility and support constraints threshold. It is faster and simpler than the original 2P-UF algorithm (2 Phase Utility-Frequent), as it is based on efficient methods for frequent itemset mining. Experimental evaluation on artificial datasets shown here, in contrast with 2P-UF, our algorithm can also be applied to mine large databases.
This chapter discusses choosing and setting up an effective farm accounting system. It explains that an accounting system should provide key financial reports, track revenue and expenses from production, investment, and financing, and consider using either cash or accrual accounting. The system output will include financial statements like a balance sheet and income statement to assess financial performance and inform management decisions.
This document provides an overview of farm record keeping and accounting. It discusses how farm record keeping is important for planning, decision making, obtaining credit, and tax purposes. It describes the key components of a farm record keeping system including income/expense ledgers, inventory records, depreciation schedules, and financial statements. It also discusses different record keeping methods and explains common business documents like invoices, receipts, and balance sheets used for accounting. Maintaining accurate farm records is presented as an essential management tool for farmers.
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...Saide OER Africa
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson provides information on what farming activities could be considered 'Enterprises" and incorporated into an Enterprise Accounting spreadsheet, how to use functions to calculate totals and averages within the spreadsheet program, customise formula using a spreadsheet program and how to customise the Enterprise accounting template.
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...PiLNAfrica
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson explains the importance of record keeping, the benefits to farmers of the "Enterprise Record Keeping System' and how to set up a spreadsheet to start collecting farm data.
This document describes a student's research project to design and implement a computerized information management system for a poultry farm. It discusses the aims of the study, which are to design a database application to easily maintain and access records for a poultry farm. The document reviews relevant literature and describes the research methodology, hardware and software requirements, system implementation, and output design. The conclusion summarizes that the system is intended to make record keeping more efficient and accessible for poultry farmers.
Irjet v4 iA Survey on FP (Growth) Tree using Association Rule Mining7351IRJET Journal
This document summarizes a survey on the FP-Growth algorithm for association rule mining. It discusses how FP-Growth is an effective algorithm that examines the transaction database only twice to generate frequent itemsets, unlike other algorithms. The document also reviews other association rule mining techniques like Apriori and discusses how FP-Growth avoids generating numerous conditional FP-trees.
IRJET-Clustering Techniques for Mushroom DatasetIRJET Journal
The document evaluates the performance of different clustering algorithms (Expectation Maximization, Farthest Fast, and K-means) on a mushroom dataset from the UCI machine learning repository. The algorithms are compared based on the number of correctly clustered instances and time taken to build the model. The mushroom dataset contains 8124 instances with 22 attributes classified as edible or poisonous mushrooms. The goal is to group similar mushrooms together using the different clustering techniques in the data mining tool WEKA.
Comparison Between High Utility Frequent Item sets Mining Techniquesijsrd.com
Data Mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Also termed as frequent itemsets mining, these techniques were based on the rationale that itemsets which appear more frequently must be of more importance to the user from the business perspective .In this paper we throw light upon an emerging area called Utility Mining which not only considers the frequency of the itemsets but also considers the utility associated with the itemsets. The term utility refers to the importance or the usefulness of the appearance of the itemset in transactions quantified in terms like profit , sales or any other user preferences. This paper presents a novel efficient algorithm FUFM (Fast Utility-Frequent Mining) which finds all utility-frequent itemsets within the given utility and support constraints threshold. It is faster and simpler than the original 2P-UF algorithm (2 Phase Utility-Frequent), as it is based on efficient methods for frequent itemset mining. Experimental evaluation on artificial datasets shown here, in contrast with 2P-UF, our algorithm can also be applied to mine large databases.
This document summarizes a project report for an Inventory Management System submitted for a computer science degree. The report includes an introduction to the organization and problem definition, an analysis of the existing manual system and proposed computerized system, and requirements for the new system. Key points:
- The report is for developing an automated Inventory Management System for a textiles company to improve on the existing manual process.
- The current manual system is inefficient, inaccurate, and time-consuming. It also cannot generate timely reports.
- The proposed computerized system aims to provide efficiency, accuracy, speed, online updates, and generate reports easily using a graphical user interface.
- System requirements include hardware specifications of computers and a
Agricultural Product Price and Crop Cultivation Prediction based on Data Scie...IRJET Journal
This document summarizes a research paper that examines using machine learning techniques to predict agricultural crop prices and crop cultivation based on available data. It discusses using supervised machine learning classification algorithms like decision trees, random forests, naive bayes, and support vector machines to analyze crop dataset variables and predict crop yields. The goal is to develop an accurate machine learning model for crop prediction to help farmers and the agricultural economy by replacing updatable supervised models and predicting results with the best accuracy by comparing algorithms.
1.Types of Computer Information SystemsThere are four basic type.pdfarccreation001
1.
Types of Computer Information Systems
There are four basic types of computer-based information Systems:
Transaction Processing Systems (TPS)
Record day-to-day transactions such as customer orders, bills, inventory.
Helps supervisors by generating databases needed for other information Systems.
Examples: recording customer orders, bills, inventory levels, and production output.
Management Information Systems (MIS)
Summarizes the detailed data of the transaction processing system.
Produces standard reports for middle-level managers.
Examples: Production schedule and budget summaries.
Decision Support Systems (DSS)
Draws on the detailed data of the transaction processing system.
Provides a flexible tool for middle-level managers for analysis.
Examples: Analyzing the effects of events such as strikes, rising interest rates, etc.
Executive Support Systems (ESS)
Presents information in a very highly summarized form.
Combines the internal data from TPS and MIS with external data.
Helps top-level managers oversee operations and develop strategic plans.
Examples: Introducing new products, starting a company wide cost control program, etc.
2. Benifits:
1. Enabling better and faster decision making
By delivering relevant information at the time of need through structure, search, subscription,
syndication, and support, a knowledge management environment can provide the basis for
making good decisions. Collaboration brings the power of large numbers, diverse opinions, and
varied experience to bear when decisions need to be made. The reuse of knowledge in
repositories allows decisions be based on actual experience, large sample sizes, and practical
lessons learned.
2. Making it easy to find relevant information and resources
When faced with a need to respond to a customer, solve a problem, analyze trends, assess
markets, benchmark against peers, understand competition, create new offerings, plan strategy,
and to think critically, you typically look for information and resources to support these
activities. If it is easy and fast to find what you need when you need it, you can perform all of
these tasks efficiently.
3. Reusing ideas, documents, and expertise
Once you have developed an effective process, you want to ensure that others use the process
each time a similar requirement arises. If someone has written a document or created a
presentation which addresses a recurring need, it should be used in all future similar situations.
When members of your organization have figured out how to solve a common problem, know
how to deliver a recurring service, or have invented a new product, you want that same solution,
service, and product to be replicated as much as possible. Just as the recycling of materials is
good for the environment, reuse is good for organizations because it minimizes rework, prevents
problems, saves time, and accelerates progress.
4. Avoiding redundant effort
No one likes to spend time doing something over again. But they do so all the .
Full Docu IT Thesis Project In Computerized Inventory System In Brother Burg...JON ICK BOGUAT
All Copy Right Of JOnick Boguat DIT ,
This is my Full Document for my Thesis Project Last 2014
This is all purpuse is only for educational ....
-:) HAPPY CODE EVERYONE--
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...Saide OER Africa
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson provides information on the basics of computer hardware and software systems, information on different storage devices, the importance of the role ICT can play in agricultural operations, and the importance of ICT as a communication tool in sharing farming information.
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...PiLNAfrica
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson provides information on the basics of computer hardware and software systems, information on different storage devices, the importance of the role ICT can play in agricultural operations, and the importance of ICT as a communication tool in sharing farming information.
9 Steps to Successful Information Lifecycle ManagementIron Mountain
9 Steps to Successful Information Lifecycle Management: Best Practices for Efficient Database Archiving
Executive Summary
Organizations that use prepackaged ERP/CRM, custom, and third-party applications are seeing their production databases grow exponentially. At the same time, business policies and regulations require them to retain structured and unstructured data indefinitely. Storing increasing amounts of data on production systems is a recipe for poor performance no matter how much hardware is added or how much an application is tuned. Organizations need a way to manage this growth effectively.
Over the past few years, the Storage Networking Industry Association (SNIA) has promoted the concept of Information Lifecycle Management (ILM) as a means of better aligning the business value of data with the most appropriate and cost-effective IT infrastructure—from the time information is added to the database until it can be destroyed. However, the SNIA does not recommend specifi c tools to get the job done or how best to use tools to implement ILM.
This white paper describes why data archiving provides a highly effective application ILM solution and how to implement such an archiving solution to most effectively manage data throughout its
life cycle.
Data Warehouses & Deployment By Ankita dubeyAnkita Dubey
This document contains the notes about data warehouses and life cycle for data warehouse deployment project. This can be useful for students or working professionals to gain the basic knowledge about Data warehouses.
Fitness Trainer Application Using Artificial IntelligenceIRJET Journal
This document describes a fitness trainer application that uses artificial intelligence. The application detects a user's exercise poses using MediaPipe, counts repetitions, provides alerts, and estimates calories burned. It also provides personalized dietary plans using formulas to calculate daily calorie needs and recommend meals. The application aims to help users exercise and maintain a healthy diet at home without expensive gym fees or dieticians. It detects poses in real-time video and analyzes joint positions to track exercise repetitions accurately. Recommended diets are generated based on the user's profile and preferences. The application could guide home workouts and help spread health awareness to more people.
The document describes a proposed tea factory management system. The system aims to address issues with manual record keeping such as farmers incorrectly tracking sales amounts and expenses. This leads to errors in income calculations and potential exploitation. The proposed system would digitally record farmer transactions to provide accurate receipts and income reports. It would also help factories better manage resources, communicate with farmers, and prevent errors and fraud. The system would be developed using PHP, Laravel, and a waterfall model methodology.
This module introduces the learner to different types of computer memory and storage devices. It discusses primary memory which includes RAM and ROM that can be accessed directly by the CPU. RAM is volatile and comes in different types like DRAM and SRAM. ROM is non-volatile and includes PROM, EPROM, and EEPROM. Secondary storage devices discussed include the hard drive, optical drive, and external flash drive which use various storage media and connect to the computer. The learner is taught to identify appropriate measuring instruments for different computer components.
Troubleshooting as Your Kafka Clusters Grow (Krunal Vora, Tinder) Kafka Summi...confluent
The graphical curve of ‘getting things done with Kafka’ vs. ‘time spent with Kafka’ rises pretty quickly before starting to plateau. Kafka, as we know, is great to get started out of the box. Eventually though, anyone who has used Kafka for a reasonable amount of time would come across problems, both trivial and hardcore. More often than not, these problems feel tedious and repetitive which could be addressed better by the Kafka community. Issues like skewed partitions and brokers, partition reassignment for a large number of topics, working with messed up consumer offsets, distributing workload evenly to partitions, monitor and view the Kafka cluster better, etc. sound familiar among the community. Come, learn from our experiences trying to overcome and automate some of the most common problems surrounding the scaling Kafka clusters at Tinder. Let’s create an environment of sharing the best practices for usage of tools around Kafka.
This document provides an introduction to information systems. It discusses the history and evolution of information systems. It defines information systems and describes their structure, including repositories that hold data, interfaces that exchange information, and channels that connect repositories. It also discusses different types of information systems such as geographic information systems and information systems from perspectives in computer security, knowledge representation, mathematics, and sociology.
Sad 201 project sparc vision online library-assignment 2Justin Chinkolenji
This document summarizes the proposed Sparc Vision Online Library System. It describes the objectives of automating the library's manual book and video record keeping processes. Key sections include an overview of the system's features and functionality, analysis of the current system, requirements for the new system, and feasibility analysis. Interviews and questionnaires were identified as primary methods for gathering information about user needs.
El big data analytics donde menos te lo esperas - Alex RayónBig-Data-Summit
This document discusses applications of big data analytics in unexpected areas. It focuses on applications in music and agriculture. In music, big data is used to explore data, perform clustering, association rules, prediction, and analyze social media. In agriculture, big data is used to analyze variables affecting beet performance and quality, optimize costs, characterize farmers, and understand what makes farmers change practices. The project aims to help stakeholders by providing tailored advice to farmers to improve productivity and quality.
MBA Project report on Just In Time Management - Final Report
This report provides an analysis and evaluation of the Just-In-Time system, the advantages and disadvantages of the system and how it would benefit AG & Z. The Just-In-Time (JIT) system is a process where goods are ordered as required, as opposed to the currently used batch processing system where goods are made in bulk and stored in warehouses until sold. The Just-In-Time system was initially developed to not only cut down the amount of waste produced by other systems, which was seen as incurring unnecessary costs rather than adding value to the company, but to also meet customer demands with minimum delays. It has been found that when implemented correctly the JIT system can benefit the company in numerous ways.
Asp openly licensed stories for early reading in africa mar 2015 slideshareSaide OER Africa
A recent presentation made by Tessa Welch, the African Storybook Project leader, to University of Pretoria Education students on the project and on openly licensed stories for early reading in Africa.
Quality Considerations in eLearning in South Africa. Presentation at the eLearning Summit, Indaba Hotel, 16 October 2014. Looks the the quality review process and quality criteria.
African Storybook: The First 18 Months of the ProjectSaide OER Africa
Presentation by African Storybook Initiative Leader, Tessa Welch, on the first 18 months of the initiative. Presented on 26 June at the African Storybook Summit at the University of British Columbia.
Digital Storytelling for Multilingual Literacy Development: Implications for ...Saide OER Africa
Digital Storytelling for Multilingual Literacy Development: Implications for Teachers - Presentation by Tessa Welch at the South African Basic Education Conference 31 March - 1 April 2014. Presentation explains Saide's African Storybook Initiative. Overview: Requirements for effective literacy development of young children in African countries; obstacles to achieving this goal; multi-pronged approach to overcoming obstacles; examples of digital storytelling in a school community; implications for teachers.
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This document summarizes a project report for an Inventory Management System submitted for a computer science degree. The report includes an introduction to the organization and problem definition, an analysis of the existing manual system and proposed computerized system, and requirements for the new system. Key points:
- The report is for developing an automated Inventory Management System for a textiles company to improve on the existing manual process.
- The current manual system is inefficient, inaccurate, and time-consuming. It also cannot generate timely reports.
- The proposed computerized system aims to provide efficiency, accuracy, speed, online updates, and generate reports easily using a graphical user interface.
- System requirements include hardware specifications of computers and a
Agricultural Product Price and Crop Cultivation Prediction based on Data Scie...IRJET Journal
This document summarizes a research paper that examines using machine learning techniques to predict agricultural crop prices and crop cultivation based on available data. It discusses using supervised machine learning classification algorithms like decision trees, random forests, naive bayes, and support vector machines to analyze crop dataset variables and predict crop yields. The goal is to develop an accurate machine learning model for crop prediction to help farmers and the agricultural economy by replacing updatable supervised models and predicting results with the best accuracy by comparing algorithms.
1.Types of Computer Information SystemsThere are four basic type.pdfarccreation001
1.
Types of Computer Information Systems
There are four basic types of computer-based information Systems:
Transaction Processing Systems (TPS)
Record day-to-day transactions such as customer orders, bills, inventory.
Helps supervisors by generating databases needed for other information Systems.
Examples: recording customer orders, bills, inventory levels, and production output.
Management Information Systems (MIS)
Summarizes the detailed data of the transaction processing system.
Produces standard reports for middle-level managers.
Examples: Production schedule and budget summaries.
Decision Support Systems (DSS)
Draws on the detailed data of the transaction processing system.
Provides a flexible tool for middle-level managers for analysis.
Examples: Analyzing the effects of events such as strikes, rising interest rates, etc.
Executive Support Systems (ESS)
Presents information in a very highly summarized form.
Combines the internal data from TPS and MIS with external data.
Helps top-level managers oversee operations and develop strategic plans.
Examples: Introducing new products, starting a company wide cost control program, etc.
2. Benifits:
1. Enabling better and faster decision making
By delivering relevant information at the time of need through structure, search, subscription,
syndication, and support, a knowledge management environment can provide the basis for
making good decisions. Collaboration brings the power of large numbers, diverse opinions, and
varied experience to bear when decisions need to be made. The reuse of knowledge in
repositories allows decisions be based on actual experience, large sample sizes, and practical
lessons learned.
2. Making it easy to find relevant information and resources
When faced with a need to respond to a customer, solve a problem, analyze trends, assess
markets, benchmark against peers, understand competition, create new offerings, plan strategy,
and to think critically, you typically look for information and resources to support these
activities. If it is easy and fast to find what you need when you need it, you can perform all of
these tasks efficiently.
3. Reusing ideas, documents, and expertise
Once you have developed an effective process, you want to ensure that others use the process
each time a similar requirement arises. If someone has written a document or created a
presentation which addresses a recurring need, it should be used in all future similar situations.
When members of your organization have figured out how to solve a common problem, know
how to deliver a recurring service, or have invented a new product, you want that same solution,
service, and product to be replicated as much as possible. Just as the recycling of materials is
good for the environment, reuse is good for organizations because it minimizes rework, prevents
problems, saves time, and accelerates progress.
4. Avoiding redundant effort
No one likes to spend time doing something over again. But they do so all the .
Full Docu IT Thesis Project In Computerized Inventory System In Brother Burg...JON ICK BOGUAT
All Copy Right Of JOnick Boguat DIT ,
This is my Full Document for my Thesis Project Last 2014
This is all purpuse is only for educational ....
-:) HAPPY CODE EVERYONE--
Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. ...Saide OER Africa
This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson provides information on the basics of computer hardware and software systems, information on different storage devices, the importance of the role ICT can play in agricultural operations, and the importance of ICT as a communication tool in sharing farming information.
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This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson provides information on the basics of computer hardware and software systems, information on different storage devices, the importance of the role ICT can play in agricultural operations, and the importance of ICT as a communication tool in sharing farming information.
9 Steps to Successful Information Lifecycle ManagementIron Mountain
9 Steps to Successful Information Lifecycle Management: Best Practices for Efficient Database Archiving
Executive Summary
Organizations that use prepackaged ERP/CRM, custom, and third-party applications are seeing their production databases grow exponentially. At the same time, business policies and regulations require them to retain structured and unstructured data indefinitely. Storing increasing amounts of data on production systems is a recipe for poor performance no matter how much hardware is added or how much an application is tuned. Organizations need a way to manage this growth effectively.
Over the past few years, the Storage Networking Industry Association (SNIA) has promoted the concept of Information Lifecycle Management (ILM) as a means of better aligning the business value of data with the most appropriate and cost-effective IT infrastructure—from the time information is added to the database until it can be destroyed. However, the SNIA does not recommend specifi c tools to get the job done or how best to use tools to implement ILM.
This white paper describes why data archiving provides a highly effective application ILM solution and how to implement such an archiving solution to most effectively manage data throughout its
life cycle.
Data Warehouses & Deployment By Ankita dubeyAnkita Dubey
This document contains the notes about data warehouses and life cycle for data warehouse deployment project. This can be useful for students or working professionals to gain the basic knowledge about Data warehouses.
Fitness Trainer Application Using Artificial IntelligenceIRJET Journal
This document describes a fitness trainer application that uses artificial intelligence. The application detects a user's exercise poses using MediaPipe, counts repetitions, provides alerts, and estimates calories burned. It also provides personalized dietary plans using formulas to calculate daily calorie needs and recommend meals. The application aims to help users exercise and maintain a healthy diet at home without expensive gym fees or dieticians. It detects poses in real-time video and analyzes joint positions to track exercise repetitions accurately. Recommended diets are generated based on the user's profile and preferences. The application could guide home workouts and help spread health awareness to more people.
The document describes a proposed tea factory management system. The system aims to address issues with manual record keeping such as farmers incorrectly tracking sales amounts and expenses. This leads to errors in income calculations and potential exploitation. The proposed system would digitally record farmer transactions to provide accurate receipts and income reports. It would also help factories better manage resources, communicate with farmers, and prevent errors and fraud. The system would be developed using PHP, Laravel, and a waterfall model methodology.
This module introduces the learner to different types of computer memory and storage devices. It discusses primary memory which includes RAM and ROM that can be accessed directly by the CPU. RAM is volatile and comes in different types like DRAM and SRAM. ROM is non-volatile and includes PROM, EPROM, and EEPROM. Secondary storage devices discussed include the hard drive, optical drive, and external flash drive which use various storage media and connect to the computer. The learner is taught to identify appropriate measuring instruments for different computer components.
Troubleshooting as Your Kafka Clusters Grow (Krunal Vora, Tinder) Kafka Summi...confluent
The graphical curve of ‘getting things done with Kafka’ vs. ‘time spent with Kafka’ rises pretty quickly before starting to plateau. Kafka, as we know, is great to get started out of the box. Eventually though, anyone who has used Kafka for a reasonable amount of time would come across problems, both trivial and hardcore. More often than not, these problems feel tedious and repetitive which could be addressed better by the Kafka community. Issues like skewed partitions and brokers, partition reassignment for a large number of topics, working with messed up consumer offsets, distributing workload evenly to partitions, monitor and view the Kafka cluster better, etc. sound familiar among the community. Come, learn from our experiences trying to overcome and automate some of the most common problems surrounding the scaling Kafka clusters at Tinder. Let’s create an environment of sharing the best practices for usage of tools around Kafka.
This document provides an introduction to information systems. It discusses the history and evolution of information systems. It defines information systems and describes their structure, including repositories that hold data, interfaces that exchange information, and channels that connect repositories. It also discusses different types of information systems such as geographic information systems and information systems from perspectives in computer security, knowledge representation, mathematics, and sociology.
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This document discusses applications of big data analytics in unexpected areas. It focuses on applications in music and agriculture. In music, big data is used to explore data, perform clustering, association rules, prediction, and analyze social media. In agriculture, big data is used to analyze variables affecting beet performance and quality, optimize costs, characterize farmers, and understand what makes farmers change practices. The project aims to help stakeholders by providing tailored advice to farmers to improve productivity and quality.
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Digital Storytelling for Multilingual Literacy Development: Implications for Teachers - Presentation by Tessa Welch at the South African Basic Education Conference 31 March - 1 April 2014. Presentation explains Saide's African Storybook Initiative. Overview: Requirements for effective literacy development of young children in African countries; obstacles to achieving this goal; multi-pronged approach to overcoming obstacles; examples of digital storytelling in a school community; implications for teachers.
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Farmer's Agribusiness Training Course: Module 4 - ICT in Support of Farming. Lesson 2 : Record Keeping
1. 17
MODULE4: ICT in Support of Farming
LESSON 2: Record Keeping
TIME: 1 hour 36 minutes
AUTHOR: Andrew Moore
This lesson was made possible with the assistance of the following organisations:
Farmer's Agribusiness Training by United States International University is licensed under a
Creative Commons Attribution 3.0 Unported License.
Based on a work at www.oerafrica.org
2. MODULE 4
2
ICT in Support of Farming
RECORD KEEPING
LESSON
AUTHOR:
TIME:
Andrew Moore
1 hour 36
minutes
INTRODUCTION:
OUTCOMES: We all keep records : some type. If for no
of
: other reason, farmers want to track the
By the completion of this lesson amounts of a crop harvested or sold. In this
participants will: lesson we want to encourage you to keep
more comprehensive records so that you
Appreciate why keeping
can use them to gain insight into the well-
farm records is essential.
being, possible future growth and direction
Be familiar with how the
your farming „enterprise‟ could take.
Enterprise Record Keeping
System is organised and Records can be used as decision-aids.
why it is beneficial for Records cansupply you with data needed to
farmers. make informed decisions about future
Be able to set up a simple machinery purchases, profitability of certain
spread sheet program (MS crops and changes in market trends. Also,
Excel) to start collecting as you begin to grow from a farm to a firm
farm data. you will need records to support your
application for bank loans, tax references
and other institutional requirements.
In this lesson we will also begin to show
you how to keep a simple set of records
using a spread sheet program that takes a
lot of the complicated „Maths‟ out of
compiling statistical data.
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
3. Production and Financial Record Keeping
There are at least two types of records that farmers should keep, production and financial,
each has its own distinct purpose.
Production records track the yield of a particular crop or produce, or perhaps the number of
calves born (with weaning weights) versus the number of deaths in a herd.
Financial records, as the name suggests, track money. Usually, a farmer would record
Income (such as product sales) against expenditure (operating costs, equipment and feed
purchases etc.). The more sophisticated your farm, the more likely it will be necessary to
also track financial items such as inventory, depreciation records, loan balances etc.
So what is the best way to record and track all this data? There is no one way to do this
and your context will determine which method is most suitable. Whatever method you
choose, it must be accurate and be in a format that allows you to analyse the data in order
to make decisions. Below is a comparison of two common systems used:
.
Hand (with calculator & journal) Computer (spread sheet/accounting
program)
Low initial cost to implement High initial cost to implement
Easy to learn Requires time and effort to learn
Is labour intensive (time consuming) Fast
Many opportunities to make mistakes Accurate
Limited ability to use data for analysis Powerful analysis tool
Of course as this lesson is part of the ICT module we are going to advise that you use a
digital system so that you can exploit the processing power of a computer to help you
record and analyse your data! Ultimately, however, you need to choose what is best for
you.
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
4. Activity 1
Record systems (10 minutes)
Do you remember the Windsor Farm Case study previewed earlier? (Review the last 45
seconds of the case study on the record system favoured by Windsor). Note that in the
case study the narrator is critical of the record system used at Windsor farms.
Access the video case study from the course CD ROM:
See Resource Index | Module 4 | Lesson 2 | Case Study
Questions:
(In your journal record the answers to these questions)
1. What system did the management of Windsor farms use to record
production records? Describe their record keeping system.
2. What, according to the narrator, was inadequate about their system? See if
you can identify a specific problem.
3. How, in your opinion, might the farm management overcome this problem?
4. What system do you currently employ and have you identified any
inadequacies in your system. How might it be improved?
See the Feedback section at the end of this lesson to
see a model answer orcomments about this activity
Page 156
Module4: ICT in Support of Farming Lesson 2:Record Keeping
5. ENTERPRISE RECORD KEEPING
Once you have chosen a record system you will first need to record the data accurately
before any analysis can take place. So how should you capture the data? There are
numerous ways and there are a number of accounting programs written for computer
systems you might want to investigate but for this lesson we will explore a simple solution
for a farmer who has a number of operations running simultaneously on his farm:
Enterprise Record Keeping. Study Table 1 below:
Income Expense Enterprise
Date / Cull Cattle Maize
Calves Maize Feed Supplies Fuel
Description Cows Income Expense Income Expense
12/06/2011
Sold 10 calves 322,000 322,000
@ 50kg/nd
+13/06/2011
Purchased
38,237 38,237
additional feed
(1 ton)
22/06/2011
Sold 2 Cows at 100,624 100,624
1050 lbs./hd
25/06/2011
Hardware
supplies 13,282 10,282 3,000
(Fencing
materials)
26/06/2011
Diesel (x litres) 112, 100 60,000 52,000
28/06/2011
Sold 2000 bu
370,299 370,299
of
maize
322,000 100.624 370,299 38,237 13,282 112,100 422,624 108, 519 370,299 55,000
Total
314,105 315,299
The enterprise columns allow you to split income and expenditure across different
farming activities. In the example above these activities include rearing cattle and
growing maize. The advantage of this approach is that besides tracking cash flow, you
can also see how profitable various activities are in relation to each other.
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
6. Activity 2
Group work (20 minutes)
Gather into groups of four and discuss how each member tracks income and
expenditure. How is the Enterprise example above different or similar? See if any of
your group has ways to improve on the simple Enterprise Record Keeping System
described above. Record the group‟s ideas.
See the Feedback section at the end of this lesson
to see a model answer or comments about this
activity
Page 158
Module4: ICT in Support of Farming Lesson 2:Record Keeping
7. Using ICT to Help you Track Expenditure
Ok, before we go any further let‟s look at one way that a computer loaded with a spread
sheet program can help you store your records and use the data to analyse the financial
well-being of your „farm firm‟. For this lesson, we will be using a popular spread sheet
program called MS Excel. We will also be using a number of small videos to guide you in
setting up the program to support your record keeping. The course facilitator will guide
you through these steps
Activity 3a
Access the spread sheet program (4 minutes)
If you are reading these notes from the Course CD ROM then the computer is already
on! Your first task then is to locate the spread sheet program called Excel. To do this
follow the instructions described in this video clip. If you get stuck call the facilitator over
to help you.
Access the video case study from the course CD ROM:
See Resource Index | Module 4 | Lesson 2 | Excel:
Getting started
Activity 3b
Access the spread sheet program (4 minutes)
Right, the programme is open in front of you! But how does it work? Watch this
orientation video that describes how the spread sheet grid is organised. Pay attention to
the explanation about columns, rows and grid references. Also note the differences
between labels and values.
Access the video case study from the course CD ROM:
Page 159
See Resource Index | Module 4 | Lesson 2 | Excel:
Orientation
Module4: ICT in Support of Farming Lesson 2:Record Keeping
8. Activity 3c
Layout typical “enterprise Worksheet (30 minutes)
As before, follow the explanation in the video. This time, however, we want you to follow
the video instructions and create the Enterprise record keeping grid using the Excel
program installed on the computer you are using. You can play, stop and rewind the
video as you need as it will take a while to create the grid. Also, if you get frustrated
remember to call the facilitator over to help you.
Access the video case study from the course CD ROM:
See Resource Index | Module 4 | Lesson 2 | Excel:
Enterprise Worksheet
Activity 3d
Save your Grid (5 minutes)
So far, we have done a lot of preparatory work and have yet to see the power of the
computer at work. That comes in the next lesson where we will create totals and
work out averages. We will, however, need the grid again so it is now time to save
your work. Follow these steps.
1. Select the green „File‟ tab from the top left hand side of the
Excel program.
2. Select „Save As‟. (See Fig 1)
3. In the window that opens look for the „File name‟ field towards the bottom of
the window and replace the text „Book1‟ with this text, AndrewEnterpriseGrid
(use your name not mine).
4. Click on the „Save‟ button located in the bottom right hand
side of the window.
Great! It‟s done. You have saved your spread sheet.
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
9. Conclusion
Let us take stock of progress. We have discussed the importance of having a record
keeping system and compared the different versions which each of us use. We
looked at one system, the Enterprise Record keeping system, which can exist in
either a hand or computer based format. To investigate computer based systems
we have started to build an „Enterprise‟ spread sheet grid and in the next lesson we
will populate our spread sheet with records and analyse the data.
Summary
The main points of this lesson you need to be familiar with before you
continue include:
It is necessary to have a record keeping system so that a
farmer can track both production and financial activities.
Any record system needs to be accurate if it is to support a
farmer in tracking and analysing his data.
The Enterprise Record Keeping system can be kept in either a
hand or computer based formats. A computer format is useful
because it allows a farmer to organise expenditure and income
against various agricultural activities.
In terms of computer systems there are many commercial
accounting packages but a popular, simple tool used to keep
records is a spread sheet program. An example of a spread
sheet program is MS Excel.
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
10. Enrichment Resources
Information about software accounting packages
Intuit QuickBooks: www.quickbooks.com
Pastel Accounting: www.pastel.com
TurboCASH (Free): www.turbocash.net
Information about spread sheet programs
Wikipedia‟s Comparison of Spread sheet programs:
http://en.wikipedia.org/wiki/Comparison_of_spreadsheet_software
Open Office‟s Calc (Free): http://www.openoffice.org/product/calc.html
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
11. Glossary
Specialist words with definitions:
Enterprise Accounting: Enterprise accounting requires that income and expense
information be assigned to the farm enterprise that generated that income or expense.
“Enterprise,” refers to the different kinds of farm production.
Expenses: In common usage, an expense or expenditure is an outflow of money to
another person or group to pay for an item or service, or for a category of costs. For a
tenant, rent is an expense. For students or parents, tuition is an expense. Buying food,
clothing, furniture or an automobile is often referred to as an expense. An expense is
a cost that is "paid" or "remitted", usually in exchange for something of value.
(Wikipedia: http://en.wikipedia.org/wiki/Expenses). Expenses include direct production
expenses, fixed or overhead expenses, capital expenditures and personal and family
living expenses. Basically, expenses refer to any and all money spent. (Gerloff)
Income: The consumption and savings opportunity gained by an entity within a
specified time frame, which is generally expressed in monetary terms. However, for
households and individuals, "income is the sum of all the wages, salaries, profits,
interests payments, rents and other forms of earnings received... in a given period of
time." For firms, income generally refers to net-profit: what remains of revenue after
expenses have been subtracted (Wikipedia: http://en.wikipedia.org/wiki/Income )
Income is money received for selling product or service(s). It includes sales of
purchased, breeding or raised livestock. It also includes sales of crops, government
program proceeds and proceeds from cost-share projects. Custom work by the farm
owner and family members would also be included as income. In short, all income that
is generated by the farm or farm family is included as income. (Gerloff)
Spread Sheet: A spread sheet is a computer application that simulates a paper,
accounting worksheet. It displays multiple cells that together make up a grid consisting
of rows and columns, each cell containing alphanumeric text, numeric values or
formulas. A formula defines how the content of that cell is to be calculated from the
contents of any other cell (or combination of cells) each time any cell is updated.
Spread sheets are frequently used for financial information because of their ability to
re-calculate the entire sheet automatically after a change to a single cell is made.
(Wikipedia: http://en.wikipedia.org/wiki/Spreadsheet )
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
12. References
1. Network for Sustainable Agriculture. (2004). Record Keeping.
Available online:
http://www.aglearn.net/resources/introIPM/recordKeeping.pdf
Accessed: 09/02/2011.
2. Gerloff, D.C et al. (2006). Establishing and Using a Farm Financial
Record Keeping System. University of Tennessee Agricultural
Extension Office. Available online:
www.nou.edu.ng/noun/NOUN_OCL/pdf/pdf2/AEM%20306.pdf
Accessed 09/02/2011.
3. Wikipedia. (2011). Expense. Available online:
http://en.wikipedia.org/wiki/Expenses Accessed 09/02/11 (CC: BY SA)
4. Wikipedia. (2011). Income. Available online:
http://en.wikipedia.org/wiki/Income Accessed 09/02/11 (CC: BY SA)
5. Wikipedia. (2011).Spreadsheet. Available online:
http://en.wikipedia.org/wiki/Spreadsheet Accessed 09/02/11 (CC: BY
SA)
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Module4: ICT in Support of Farming Lesson 2:Record Keeping
13. Feedback
Feedback Activity 1
1. They used a system whereby entries were kept in a hand written journal.
2. The narrator mentioned that it was difficult to create copies of the records which
were needed by various 3rd party stakeholders.
3. Keeping records digitally (on a computer) would allow for multiple copies to be
generated at any time, for example at the end of each month, if a printer was
installed with the computer.
Feedback Activity 2
There is no correct answer here. Everyone will have a different system yet what is
important is to see what the strengths of each system are and to determine if you could
incorporate these strengths into your system. Page 165
Module4: ICT in Support of Farming Lesson 2:Record Keeping