Strengthening Capacity for Diagnosis and Management of Soil Micronutrient Deficiencies in Sub-Saharan Africa for Improved Plant, Animal and Human Nutrition
This presentation highlighted the process of developing and progress made in the development of the FR and FB DST.
The site-specific fertilizer recommendation (FR) tool is built to provide an optimized and profitable site-specific fertilizer recommendations for cassava growers. The tool considers the location, soil fertility, weather condition, available fertilizers in the area, prices for fertilizer and cassava root, planned planting and harvest dates and the investment capacity of the farmers.
The nutrient omission trials (NOT) in Nigeria and Tanzania conducted by ACAI, in collaboration with the national research and development partners, show a large variation in nutrient responses indicating the need for site-specific fertilizer recommendation. ACAI is developing a crosscutting system using machine learning techniques coupled with process based crop models, LINTUL and QUEFTS, and economic optimizer algorithms to provide the site-specific recommendations. ACAI is transforming available big data like GIS layers from SoilGrids and weather data from CHIRPS and NASA to useful information that can be used to model the relationship between apparent soil nutrient supply and soil properties. Effort has also been made to identify a generic soil fertility indicator that can be easily obtained from farmers and is useful covariate to improve the accuracy of apparent soil nutrient supply predictions.
The next steps in the FR tool development include, validating the FR tool both functionally, checking if the recommendations outperform the current practices in the field and architecturally, checking user friendliness and if the tool satisfies the needs of development partners to dissemination strategy.
Intelligent Chemical Fertilizer Recommendation System for Rice Fields IIJSRJournal
In this paper, a recommendation system for supplementary chemical fertilizers of rice fields is proposed using data mining methods. Traditionally, an expert determines the necessary amount of chemical fertilizer for each field after testing the amount of existing organic materials in the soil. The recommendation provided by the expert is a combination of agricultural science and region-specific conditions. In this paper, thru recognizing the existing pattern in recommendations proposed by two groups of experts for the agricultural lands in Mazandaran Province in recent years, a predictive model is proposed. Different artificial intelligence techniques are compared with each other and the best one among them is introduced
The study probed into the statistical analysis of the effect of organic and inorganic fertilizer on the yield of sorghum; which was carried out at Abubakar Tafawa Balewa University (ATBU) School Farm, Bauchi State. The study relied on secondary data from ATBU school farm structured using a single variety of sorghum at three level of organic (0, 1 and 2t/kg) and four level of inorganic (0, 15, 30, 45kgN/ha) fertilizer. Cow dung and NPK were sources of fertilizer used in the secondary data. SPSS version 20 software was employed to analyze the data obtained. Each variable considered was subjected to univariate analysis of variance (ANOVA) and comparison of the means by employing Duncan Multiple Range Test (DMRT). The result indicated that the effect of fertilization on yield and weight of sorghum were significant at p=0.001. Application of 45kgN/ha of NPK gave the highest yield of 3.6t/ha among sole application of NPK, while 1t/ha of cow dung recorded the highest yield (2.37t/ha) among sole application of cow dung. It was observed that a combination of 2t/ha of cow dung + 45kg/ha of NPK significantly (P=0.001) gave the highest yield of 4.4t/ha of sorghum. However, it was not significantly better than sole application of 45kg/ha of NPK and a combine application of 2t/ha of cow dung + 30kg/ha of NPK. Similarly, 2t/ha of cow dung + 45kg/ha of NPK significantly gave the highest weight of 418kg/ha of sorghum.
Strengthening Capacity for Diagnosis and Management of Soil Micronutrient Deficiencies in Sub-Saharan Africa for Improved Plant, Animal and Human Nutrition
This presentation highlighted the process of developing and progress made in the development of the FR and FB DST.
The site-specific fertilizer recommendation (FR) tool is built to provide an optimized and profitable site-specific fertilizer recommendations for cassava growers. The tool considers the location, soil fertility, weather condition, available fertilizers in the area, prices for fertilizer and cassava root, planned planting and harvest dates and the investment capacity of the farmers.
The nutrient omission trials (NOT) in Nigeria and Tanzania conducted by ACAI, in collaboration with the national research and development partners, show a large variation in nutrient responses indicating the need for site-specific fertilizer recommendation. ACAI is developing a crosscutting system using machine learning techniques coupled with process based crop models, LINTUL and QUEFTS, and economic optimizer algorithms to provide the site-specific recommendations. ACAI is transforming available big data like GIS layers from SoilGrids and weather data from CHIRPS and NASA to useful information that can be used to model the relationship between apparent soil nutrient supply and soil properties. Effort has also been made to identify a generic soil fertility indicator that can be easily obtained from farmers and is useful covariate to improve the accuracy of apparent soil nutrient supply predictions.
The next steps in the FR tool development include, validating the FR tool both functionally, checking if the recommendations outperform the current practices in the field and architecturally, checking user friendliness and if the tool satisfies the needs of development partners to dissemination strategy.
Intelligent Chemical Fertilizer Recommendation System for Rice Fields IIJSRJournal
In this paper, a recommendation system for supplementary chemical fertilizers of rice fields is proposed using data mining methods. Traditionally, an expert determines the necessary amount of chemical fertilizer for each field after testing the amount of existing organic materials in the soil. The recommendation provided by the expert is a combination of agricultural science and region-specific conditions. In this paper, thru recognizing the existing pattern in recommendations proposed by two groups of experts for the agricultural lands in Mazandaran Province in recent years, a predictive model is proposed. Different artificial intelligence techniques are compared with each other and the best one among them is introduced
The study probed into the statistical analysis of the effect of organic and inorganic fertilizer on the yield of sorghum; which was carried out at Abubakar Tafawa Balewa University (ATBU) School Farm, Bauchi State. The study relied on secondary data from ATBU school farm structured using a single variety of sorghum at three level of organic (0, 1 and 2t/kg) and four level of inorganic (0, 15, 30, 45kgN/ha) fertilizer. Cow dung and NPK were sources of fertilizer used in the secondary data. SPSS version 20 software was employed to analyze the data obtained. Each variable considered was subjected to univariate analysis of variance (ANOVA) and comparison of the means by employing Duncan Multiple Range Test (DMRT). The result indicated that the effect of fertilization on yield and weight of sorghum were significant at p=0.001. Application of 45kgN/ha of NPK gave the highest yield of 3.6t/ha among sole application of NPK, while 1t/ha of cow dung recorded the highest yield (2.37t/ha) among sole application of cow dung. It was observed that a combination of 2t/ha of cow dung + 45kg/ha of NPK significantly (P=0.001) gave the highest yield of 4.4t/ha of sorghum. However, it was not significantly better than sole application of 45kg/ha of NPK and a combine application of 2t/ha of cow dung + 30kg/ha of NPK. Similarly, 2t/ha of cow dung + 45kg/ha of NPK significantly gave the highest weight of 418kg/ha of sorghum.
Research in sustainable intensification in the sub-humid maize-based cropping...africa-rising
Presented by Mateete Bekunda (IITA), Ben Lukuyu (ILRI), Danny Coyne (IITA), Dan Makumbi (CIMMYT), Jean Claude Rubyogo (CIAT), Job Kihara (CIAT), Fen Beed (IITA), Adebayo Abass (IITA), Stephen Lyimo (SARI), Victor Afari-Sefa (AVRDC) and Festo Ngulu (IITA) at the Africa RISING East and Southern Africa annual review and planning meeting, Lilongwe, Malawi, 3-5 September 2013
precise weed management is very useful under large land holdings which reduces cost of cultivation to a greater extent. remote sensing plays a major role in site specific weed management
The present study focuses on the nature and pattern of urban expansion of Madurai city over its surrounding region during the period from 2003 to 2008. Based on its proximity to the Madurai city, Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land use land cover map from satellite imagery using supervised classification. Find out the areas from the classified data. The study is based on secondary data, the satellite imagery has downloaded from GLCF (Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery subset using Imagery software to clip the study area. The clipped satellite imagery has used to prepare the land use and land cover map using supervised classification.
Strengthening Capacity for Diagnosis and Management of Soil Micronutrient Deficiencies in Sub-Saharan Africa for Improved Plant, Animal and Human Nutrition, Mercy Nyambura, ICRAF
Presentation by Tor-Gunnar Vagen at the session on sustainable soil management in Africa at the European Development Days 2017. https://eudevdays.eu/sessions/sustainable-soil-management-foundation-africas-future
"Enhancing Soil Nutrient Status and Water Productivity through Sustainable Re...Jenkins Macedo
This proposed research seeks to contribute to an on-going research project that is being implemented by the International Water Management Institute among smallholder farmers in the Greater Mekong Sub-region. This research is funded by the Purdue University Center for Global Food Security for Southeast Asia. The study will be supervised by IWMI and approval has being granted from the Clark University Office of Sponsored Research and Programs. The study was approved by IRB at Clark University. This study seeks to also fulfill the academic requirement for the Master of Science in Environmental Science and Policy at CU and could be used amongst others for a doctoral dissertation.
Applications of remote sensing and geographic information systems technologie...ILRI
Presentation by Olatoye T. A. (FRIN, Nigeria) and Odularu G. O. (FARA, Ghana) for the Agrifood chain toolkit conference: Livestock and fish value chains in East Africa, Kampala, 9-11 September 2013.
Paddy field classification with MODIS-terra multi-temporal image transformati...IJECEIAES
This paper presents the paddy field classification model using the approach based on periodic plant life cycle events and how these elevations in climate as well as habitat factors, such as elevation. The data used are MODIS-Terra two tiles of H28v09 and H29v09 of 2016, consist of 46 series of 8-daily data, with 500 meter resolution in Java region. The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination of reflectance and index data. The results of the study showed that, with the reference of the Paddy Field Map from the Ministry of Agriculture (MoA), the overall accuracies of the paddy field classification results using the combination of reflectance and index data provide the highest (85.4%) among the reflectance data (83.5%) and index data (81.7%). The accuracy levels were varied; these depend on the slope and the types of paddy fields. Paddy fields on the slopes of 0-2% could be well identified by MODIS-Terra data, whereas it was difficult to identify the paddy fields on the slope >2%. Rain-fed lowland paddy field type has a lower user accuracy than irrigated paddy fields. This study also performed correlation (r2) between the analysis results and the statistical data based on district and provincial boundaries were >0.85 and >0.99 respectively. These correlations were much higher than the previous study results, which reached 0.49-0.65 (hilly-flat areas of county-level), and 0.80-0.88 (hilly-flat areas of provincial level) for China, and reached 0.44 for Indonesia.
Landscape-Scale Assessments for Strategic Targeting of
Climate Smart Agriculture (CSA) Practices in East Africa
Poster presented at the 3rd Global Science Conference on Climate-Smart Agriculture in Montpellier.
Read more: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.VRurLUesXX4
Marco Marani, from Padova University and Duke, presented a work on the soil-water-plants continuum. He emphasize the role of roots in modifying the soil water distribution, otherwise controlled by Darcy flows. However, he also studied and talked about the influence of the soil-plants-atmosphere continuum.
Research in sustainable intensification in the sub-humid maize-based cropping...africa-rising
Presented by Mateete Bekunda (IITA), Ben Lukuyu (ILRI), Danny Coyne (IITA), Dan Makumbi (CIMMYT), Jean Claude Rubyogo (CIAT), Job Kihara (CIAT), Fen Beed (IITA), Adebayo Abass (IITA), Stephen Lyimo (SARI), Victor Afari-Sefa (AVRDC) and Festo Ngulu (IITA) at the Africa RISING East and Southern Africa annual review and planning meeting, Lilongwe, Malawi, 3-5 September 2013
precise weed management is very useful under large land holdings which reduces cost of cultivation to a greater extent. remote sensing plays a major role in site specific weed management
The present study focuses on the nature and pattern of urban expansion of Madurai city over its surrounding region during the period from 2003 to 2008. Based on its proximity to the Madurai city, Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land use land cover map from satellite imagery using supervised classification. Find out the areas from the classified data. The study is based on secondary data, the satellite imagery has downloaded from GLCF (Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery subset using Imagery software to clip the study area. The clipped satellite imagery has used to prepare the land use and land cover map using supervised classification.
Strengthening Capacity for Diagnosis and Management of Soil Micronutrient Deficiencies in Sub-Saharan Africa for Improved Plant, Animal and Human Nutrition, Mercy Nyambura, ICRAF
Presentation by Tor-Gunnar Vagen at the session on sustainable soil management in Africa at the European Development Days 2017. https://eudevdays.eu/sessions/sustainable-soil-management-foundation-africas-future
"Enhancing Soil Nutrient Status and Water Productivity through Sustainable Re...Jenkins Macedo
This proposed research seeks to contribute to an on-going research project that is being implemented by the International Water Management Institute among smallholder farmers in the Greater Mekong Sub-region. This research is funded by the Purdue University Center for Global Food Security for Southeast Asia. The study will be supervised by IWMI and approval has being granted from the Clark University Office of Sponsored Research and Programs. The study was approved by IRB at Clark University. This study seeks to also fulfill the academic requirement for the Master of Science in Environmental Science and Policy at CU and could be used amongst others for a doctoral dissertation.
Applications of remote sensing and geographic information systems technologie...ILRI
Presentation by Olatoye T. A. (FRIN, Nigeria) and Odularu G. O. (FARA, Ghana) for the Agrifood chain toolkit conference: Livestock and fish value chains in East Africa, Kampala, 9-11 September 2013.
Paddy field classification with MODIS-terra multi-temporal image transformati...IJECEIAES
This paper presents the paddy field classification model using the approach based on periodic plant life cycle events and how these elevations in climate as well as habitat factors, such as elevation. The data used are MODIS-Terra two tiles of H28v09 and H29v09 of 2016, consist of 46 series of 8-daily data, with 500 meter resolution in Java region. The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination of reflectance and index data. The results of the study showed that, with the reference of the Paddy Field Map from the Ministry of Agriculture (MoA), the overall accuracies of the paddy field classification results using the combination of reflectance and index data provide the highest (85.4%) among the reflectance data (83.5%) and index data (81.7%). The accuracy levels were varied; these depend on the slope and the types of paddy fields. Paddy fields on the slopes of 0-2% could be well identified by MODIS-Terra data, whereas it was difficult to identify the paddy fields on the slope >2%. Rain-fed lowland paddy field type has a lower user accuracy than irrigated paddy fields. This study also performed correlation (r2) between the analysis results and the statistical data based on district and provincial boundaries were >0.85 and >0.99 respectively. These correlations were much higher than the previous study results, which reached 0.49-0.65 (hilly-flat areas of county-level), and 0.80-0.88 (hilly-flat areas of provincial level) for China, and reached 0.44 for Indonesia.
Landscape-Scale Assessments for Strategic Targeting of
Climate Smart Agriculture (CSA) Practices in East Africa
Poster presented at the 3rd Global Science Conference on Climate-Smart Agriculture in Montpellier.
Read more: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.VRurLUesXX4
Marco Marani, from Padova University and Duke, presented a work on the soil-water-plants continuum. He emphasize the role of roots in modifying the soil water distribution, otherwise controlled by Darcy flows. However, he also studied and talked about the influence of the soil-plants-atmosphere continuum.
How to KEEP VILLAGE CHICKENS FOR BUSINESS
An Easy-to-use Manual on Keeping & Selling Village Chickens at a Profit!
Contains Value Adds such as CashFlows, Income Statements, Business Plan Templates, Marketing Plans & Marketing tips specific to the Zambian market.
Plant physiology and Plant Development slides cover transportation in plant, metabolic processes in plant and hormone and plant respond to its environment.
Spectroscopy - A new paradigm for Evidence-based Land &Soil Management recomm...Stankovic G
AfriLAB: Regional Soil Laboratory Network for Africa | First meeting. 21 - 24 May 2019 | Nairobi, Kenya
Ermias Betemariam, Erick Towett & Andrew Sila World Agroforestry (ICRAF), Kenya
Africa Soil Spectroscopy Laboratory NetworkExternalEvents
First meeting of the Global Soil Laboratory Network (GLOSOLAN), 1 - 2 Nov 2017 at FAO HQ in Rome. This network will be composed of national soil reference laboratories as a means to exchange resources, knowledge and experience. The goal of GLOSOLAN is to strengthen the performance of laboratories in support of the harmonization of soil data sets and information towards the development of standards. Indeed, the harmonization of soil analysis is a critical component of making soil information comparable and interpretable across laboratories, countries and regions. Presentations by Erick Towett, International Center for Research in Agroforestry.
Zingore - 4R Nutrient Stewardship in the context of smallholder agriculture i...CIALCA
Presentation delivered at the CIALCA international conference 'Challenges and Opportunities to the agricultural intensification of the humid highland systems of sub-Saharan Africa'. Kigali, Rwanda, October 24-27 2011.
Food and Nutrition Security in Africa seminar in Helsinki 16 June 2014, Strengthening Capacity for Diagnosis and Management of Soil Micronutrient Deficiencies in Sub-Saharan Africa for Improved Plant, Animal and Human Nutrition, Mercy Nyambura, ICRAF
Development of near-infrared reflectance spectroscopic calibrations for sorgh...ICRISAT
Sorghum is one of the first dryland cereals to benefit from the intervention in Mali of near-infrared reflectance spectroscopy (NIRS) to phenotype major plant traits in upcoming new varieties and speed up the analysis of the large numbers of potential new varieties emanating from breeding programs. Stem quality is the first key trait being assessed in candidate progeny by a Fourier-transformationbased NIRS instrument, namely a multipurpose analyzer (MPA, Bruker Optics), at the Sotuba Biotechnology Laboratory of Mali’s Institute of Rural Economy (IER)
Forest and agroforesty options for building resilience in refugee situations:...World Agroforestry (ICRAF)
Humanitarian Networks and Partnerships Week (HNPW) 2020
Climate Crisis Inter-Network
"Fit for Purpose? Current Tools and Approaches to Mitigate Climate Risks in Humanitarian Settings"
HLPE 2019. Agroecological and other innovative approaches for sustainable agriculture and food systems that enhance food security and nutrition. A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security, Rome
Vulnerabilities of forests and forest dependent people
Peter Minang, FTA, ICRAF
Social and environmental justice as a trigger of robust ambitious climate action and prosperous future for all
Chilean pavilion, COP 25, Madrid, 7th December 2019
An increasing multitude of insect pests and pathogens is targeting indigenous trees of natural forests, agroforestry systems, and exotic trees in planted forests in Africa. This is raising major concerns for a continent already challenged by adaptations to climate change, as it threatens a vital resource for food security of rural communities, economic growth, and ecosystem conservation. The accidental introduction through trade of non‐native species in particular is accelerating, and it adds to the damage to tree‐based landscapes by native pests and diseases. Old‐time and new invaders heavily impact planted forests of exotic eucalypts, pines, and acacias, and are spreading quickly across African regions. But many non‐native pathogens are recently found affecting important indigenous trees.
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...World Agroforestry (ICRAF)
This paper assesses the potential impact of Sustainable Development Goal (SDG) 8 on forests and forest-dependent people. The concepts of decent work and economic growth are put in the context of predominant development theories and paradigms (modernization, economic growth, basic needs, sustainable development) which shape the agendas of governments, private sector, civil society, and investors. These stakeholders pursue different goals and interests, with uneven prioritization of SDG 8 targets and mixed impacts on forests and livelihoods.
Forest conservation and socio-economic benefits through community forest conc...World Agroforestry (ICRAF)
With an extension of 2.1 million ha, the Maya Biosphere Reserve (MBR) in Petén, Guatemala is the largest protected area in Central America. To reconcile forest conservation and socio-economic development, community forest concessions were created in its Multiple Use Zone (MUZ) in the late 1990s and early 2000s. Operated by a community forest enterprise (CFE), and with a cycle of 25 years, the concessions grant usufruct rights to local communities on an area of about 400,000 ha. Currently, nine concessions are active, while the contracts of two concessions were cancelled and the management plan of another suspended.
Sustainable land management for improved livelihoods and environmental sustai...World Agroforestry (ICRAF)
A healthy viable multifunctional landscape has the capability of supporting sustainable agricultural productivity, providing agroforestry and forest products (timber, fuel wood, fruits, medicine, fertilizer, gum etc.) for the sustenance of mankind while providing other environmental services. However these products are increasingly becoming unavailable due to declining soil fertility, climatic extremes, and high costs of inputs. Identifying low-cost, sustainable ways to attain food security and sustainable environment for millions of smallholder farmers in Sub Saharan Africa (SSA) remains a major developmental challenge.
Rangelands are more than just grass but rather complex and biodiverse ecosystems. Covering nearly half the world’s land area, they are in need of restoration and sustainable management.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Accelerate your Kubernetes clusters with Varnish Caching
Towett soil plant spectroscopy for evidence-based agronomy
1. Soil-Plant Spectroscopy for
Evidence-Based Agronomy
Erick Towett and Keith Shepherd
Land Health Decisions
World Agroforestry Centre (ICRAF), Nairobi, Kenya
SCALING PRECISION NUTRIENT MANAGEMENT (PNM) PRACTICES IN SOUTH ASIAN CEREAL SYSTEM, MUSSOORIE, INDIA, APRIL 27 – 29TH, 2016
Getting the best out of light
2. Context
• Currently, predicting a response to fertilizer addition usually
involves performing a soil test (usually chemical extraction),
and interpreting the test results based on critical limits
developed from agronomic trials and pot studies.
• The relationship between soil tests and relative yield (RY)
response to fertilizer is subject to the influence of
environment (e.g. water, temperature, soil type & chemistry)
and management (e.g. cultivation, sowing date).
• Variability in response and risk are ignored when making
recommendations.
1
Calibrating relative yield response to soil tests
| PNM South Asia, Mussoorie | India | 27-29 April 2016|
3. • Degree of precision is often low when the soil test calibration is based
on a wide range of experiments conducted on many soil types, over
many years, by many different scientists.
2
Figure 1: Example of a derived critical soil test value in Australia.
Calibrating relative yield response to soil tests
| PNM South Asia, Mussoorie | India | 27-29 April 2016|
4. • Conventional soils tests are cumbersome and of variable
accuracy when predicting relative yield response to nutrient
inputs. Huge problems with reproducibility across labs.
• Soil tests based on soil extracts do not characterize all the
nutrient pools that determine a soil’s ability to re-supply the
soil solution, e.g. readily mineralizable organic P, sorbed P, and
slowly extractable K.
• The conventional tests do not produce any absolute measure
of nutrient availability, but always have to be calibrated using
extensive agronomic field trials on different soil types to be
able to predict crop response to applied nutrients.
• Calibration trials not done in many regions. Uncertainty
ignored.
3
Calibrating relative yield response to soil tests
| PNM South Asia, Mussoorie | India | 27-29 April 2016|
5. • New direct soil spectral methods using only light (infrared &
X-ray) hold promise for providing rapid, low cost &
reproducible soil characterization.
Provides a fingerprint or
spectrum that relates to
organic and mineral
composition and therefore
soil functional properties
Simplicity of measuring
light reflected off
soils/plants at different
wavelengths.
Highly reproducible
technology used by
pharmaceutical industry
4
Simplicity of light for measurement of soil health
| PNM South Asia, Mussoorie | India | 27-29 April 2016|
6. Mid-infrared spectrometer Portable XRF analyser
• Light-based technology moving rapidly towards portable and miniature
instruments that could be used in the field.
• New spectral metrics emerging that may replace conventional soil guidelines.
• Portable X-ray fluorescence (pXRF) can directly measure what the plant is
doing – total element concentrations of macro and micro nutrients.
Simplicity of light for measurement of soil health
5| PNM South Asia, Mussoorie | India | 27-29 April 2016|
7. Spectral Shape Relates to Basic Soil Properties
• Mineral composition
• Iron oxides
• Organic matter
• Water (hydration, hygroscopic,
free)
• Carbonates
• Soluble salts
• Particle size distribution
Functional properties
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8. • Conventional soil tests (Mehlich P&K) consistently predict
poorly from spectral tests.
– Serious reservations whether the test is telling us anything useful – it
does not relate to any fundament soil properties.
– Soil P test does not give you organic P, which is so critical in soils, nor P
sorption, which is also critical for the rate at which P can be supplied
to the soil solution.
– The soil test K does not tell you about the intermediate K pools, which
are also important for maintaining K supply, but which MIR detects
through the mineralogy.
Spectral prediction performance
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9. 8
Spectral tests better predict soil nutrient supply capacity, as determined by crop
nutrient uptake potential, than conventional soil P, K, micronutrient tests
Soil MIR–TXRF Complementarity?
• Spectral methods
could predict plant
nutrient uptake
potential and crop
yield responses to
applied nutrients as
well or better than
soil tests based on
soil extracts, or at
least complement
existing soil tests.
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10. • Robust - basically counting atoms!
• Enables pairing of soil and plant testing at multiple
georeferenced locations – towards an evidenced based
approach.
• Can also sample natural variation in crop growth in landscapes
to develop norms.
pXRF for plant analysis
9| PNM South Asia, Mussoorie | India | 27-29 April 2016|
• pXRF spectroscopy is a
breakthrough technology as it
allows us to quickly and cheaply
determine plant nutrient status
which we can use to test traditional
soils tests and develop new soils
tests using spectroscopy.
11. • Ten universal calibrations
and standard operating
procedures developed by
ICRAF for macro-and micro
nutrient analyses in soil,
plant and fertilizer samples.
pXRF calibration
1
0
Light elements (Mg-S) analyzed performed well under 3 data
acquisition parameters for the pXRF.
• Our work using the simplicity of
light or spectral tests can speed
up soil testing and reduce costs.
• An ideal system for soil and
plant analysis would include
accuracy, replicability,
portability, and minimal sample
preparation.
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12. Context
• The huge missing link is testing and validation of plant
nutrient uptake and crop response to fertilizers in relation to
soil tests.
• Plant tissue analysis can be used to directly identify nutrient-
related problems; rule out nutrition as the source of a
problem; monitor nutrient status as a basis for managing a
crop fertility program; and/or evaluate the effectiveness of a
fertility program.
• pXRF will enable greater emphasis on plant tissue analysis –
tell us what is limiting now and what will be limiting next. IR
for plant N.
1
1
Crop response to spectral test
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13. To speed up the process of developing calibrations of crop
response to spectral test (and conventional soil tests) for soil
fertility recommendations, we have developed a rapid screening
approach using plant growth chambers in the lab.
Plant growth bioassays in test tubes for high throughput diagnosis
of soil macro and micronutrient deficiencies.
• Plant growth potential and response to nutrients can quickly be
measured this way and related to IR spectra of the soils as well
as to convectional soil tests.
Crop response to spectral test
1
2
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14. 1
3
• Around 119 million farmers in India depend on agricultural production for their
livelihoods. Information on soil health and nutrient status is of high value to
farmers to help them apply the right types and amounts of nutrient inputs and
management practices to their soils to maximize their profitability.
• Current annual capacity of existing soil laboratories in India is ≈ 1.3 million soil
samples per year, against a projected demand of about 40 million samples per
year as planned by the Government.
• ICRAF working closely with the Indian Institute of Soil Science (IISS) of the Indian
Council of Agricultural Research (ICAR) on an initiative to transfer to India its
light-based technology for rapid and cost effective analysis of soil health and
nutrient status.
• ICRAF has established a fully functional MIR and pXRF laboratory at IISS and
trained 12 Indian scientists to use the technology.
• Scanning soil archives including from fertilizer response trials.
India technology transfer and capacity building
| PNM South Asia, Mussoorie | India | 27-29 April 2016|
15. •IAMM, Mozambique
•AfSIS, Sotuba, Mali
•AfSIS, Salien, Tanzania
•AfSIS, Chitedze, Malawi
•CNLS, Nairobi, Kenya
•SoilCares, Kenya (mobile)
•IISS, Bhopal, India
•YPC, Kunming, China
•ATA, Addis Ababa, Ethiopia (6)
•CNRA, Abidjan, Cote D’Ivoire
•KARI, Nairobi, Kenya
•ICRAF, Yaounde, Cameroon
•IAR&T, Obafemi Awolowo
University, Ibadan, Nigeria
•IAR, Zaria, Nigeria
•FMARD, Nigeria
•IITA, Ibadan, Nigeria
•IITA, Yaounde, Cameroon
•SARI, Salien, Tanzania
Soil-Plant Spectroscopy
Support Group
PhD and MSc studentships and
training/exchange between ICRAF
and Universities across the globe.
Over 500 visitors/year to ICRAF
Spectral Diagnostics Lab
Training for agricultural officers in 47
counties in Kenya through
ChromAfrica LLC
Support to other projects:
-Optimizing Fertilizer Recommendations in
Africa (OFRA)
- World Bank Living Standards Management
Study
-Transformation of agronomic research and
delivery services for smallholder farmers in
maize-based systems of Sub-Saharan Africa
(TAMASA)
Spectral Lab Network/Outreach
• ICRAF supports a network
of 30 MIR spectrometers
for soil fertility evaluation &
digital mapping of soil
properties at national and
sub-national levels.
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16. 1
5
• Digital mapping of soil properties to identify soil fertility constraints, target
fertilizer supply/recommendations and soil management interventions, and map
soil carbon stocks
• Soil health baselines and monitoring in sustainable land management projects
for impact
• Soil testing services for smallholder farmers
• Soil characterization in long-term soil monitoring initiatives (e.g. VitalSigns,
World Bank Living Standards Management Study)
• Evidence-based (predictive) agronomy through low cost soil and plant nutrient
analysis in multi-location field trials, and plant bioassays in growth chambers
• Fertilizer, compost and organic resources quality testing
• Characterization of mine reclamation sites, including heavy metal detection in
soils and plants
• Nutritional and product quality testing and quality control in harvested products
(e.g. selenium in grains)
Spectral applications
| PNM South Asia, Mussoorie | India | 27-29 April 2016|