Disease Crop Modeling Advances & Challenges for Large-Scale Simulation - 2020 CoP Convention session

Disease Crop Modeling Advances & Challenges for Large-Scale Simulation – 2020 CoP Convention session

Crop pests and diseases assessing and monitoring are important aspects of agricultural systems to consider for assuring food security in many parts of the world. Multidisciplinary approaches such as crop growth modeling integration with pests and disease modeling have advanced…

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Phenotyping & Remote Sensing to Facilitate Min. Data Set Requirements - 2020 CoP Convention Session

Phenotyping & Remote Sensing to Facilitate Min. Data Set Requirements – 2020 CoP Convention Session

Crop models can require extensive and/or intensive data sets to drive simulations as well as for calibration purposes. While some of the information is straightforward, such as agronomic performance traits (e.g. yield, phenology) as well as weather data, other types…

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Extension Agent of the Future - 2020 CoP Convention session

Extension Agent of the Future – 2020 CoP Convention session

In an increasingly digital world with great challenges for the agrifood sector (including COVID-19), can extensionists help save the planet? This session is an adventure through time where we define the future of agricultural extension far beyond sustainable crop production.…

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Andy Jarvis introduces the 2020 Inspire Challenge finalists

Andy Jarvis introduces the 2020 Inspire Challenge finalists

The Inspire Challenge encourages the use of big data approaches to advance agricultural research and development. The winners are groundbreaking innovations with real potential for developmental impact, have mobilized underused or misused data, and demonstrate meaningful partnerships with CGIAR and…

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2020 Inspire Challenge Finalist: Sustaining staple food with supply chain integrity

2020 Inspire Challenge Finalist: Sustaining staple food with supply chain integrity

Sustaining staple food with supply chain integrity | El-kanis and Partners, HarvestPlus, FMARD, Government of Akwa Ibom State Nigeria, Akwa Ibom State University, University of Uyo Nigeria & The New Fork The project plans to implement blockchain technology on the…

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2020 Inspire Challenge Finalist: Croppie – the PhotoCropping app

2020 Inspire Challenge Finalist: Croppie – the PhotoCropping app

Croppie – the PhotoCropping app| The Alliance of Bioversity International and CIAT, Producers Direct & IDEO.org Croppie will gamify real-time photo data collection from smallholders by incentivising PhotoCropping, i.e. taking and sharing photos of their crops, that generates primary data…

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2020 Inspire Challenge Finalist: Rapid Plant Disease Detection & Phenotyping

2020 Inspire Challenge Finalist: Rapid Plant Disease Detection & Phenotyping

Rapid Plant Disease Detection & Phenotyping | ICRISAT, Wageningen University and Research & Imec The project proposes to use hyperspectral imaging and AI for automated early stress detection. It aims to develop a proof of concept study for one disease…

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2020 Inspire Challenge Finalist: Learning from NFC cards in emergency responses| IFPRI, ADM & CEPPAG

2020 Inspire Challenge Finalist: Learning from NFC cards in emergency responses| IFPRI, ADM & CEPPAG

Learning from NFC cards in emergency responses| IFPRI, ADM & CEPPAG This project proposes a pilot intervention using near-field communication (NFC) cards to deliver support during emergencies to households in Nampula province, Mozambique. Going beyond agricultural subsidy e-vouchers, these cards…

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2020 Inspire Challenge Finalist: Realtime Rice-fallow Intensification System (rRIS)

2020 Inspire Challenge Finalist: Realtime Rice-fallow Intensification System (rRIS)

Realtime Rice-fallow Intensification System (rRIS) | ICARDA, Vasudhaika, Indian Institute of Technology Kharagpur & ICAR rRis aims to enable the utilization of fallow land for crop diversification through a digital augmentation platform that uses multi-source satellite, geo/agro tagged in-situ data,…

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2020 Inspire Challenge Finalist: Rapid, Low-Cost Aflatoxin detection using AI

2020 Inspire Challenge Finalist: Rapid, Low-Cost Aflatoxin detection using AI

Rapid, Low-Cost Aflatoxin detection using AI | ICRISAT & Pure Scan AI This project seeks to improve an existing low-cost device for rapid aflatoxin detection in peanuts and maize using image processing under UV light. This would help lower the…

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