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AfPCA Proceedings 2024

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Lawal, B
Chivenge, P
Boulet, G
Sharma, S
Charvat, K
Crouch, J
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Authors
Vanlauwe, B
Amede, T
Baudron, F
Chivenge, P
Devare, M
Saito, K
Kihara, J
Nangia, V
Pypers, P
Shepherd, K
Vandamme, E
Crouch, J
Charvat, K
Safar, V
Kubickova, H
Charvat, K
Miderho , C
Obot, A
Löytty, T
Kubickova, H
Lawal, B
Adeboye, M.K
Tsado, P.A
Chivenge, P
Saito, K
Bunquin, M
Sharma, S
Dobermann, A
KHARROU, M
Simonneaux, V
Le page, M
Er-Raki, S
Boulet, G
Ezzahar, J
Khabba, S
Chehbouni, A
Crouch, J
Shephard, K
Miller, M
Collinson, J
Singh, P
Pypers, P
van den Bosch, R
van Beek, C
Chernet, M
Aston, S
van Beek, C
Chernet, M
Aston, S
Miller, M
Collinson, J
Shephard, K
Crouch, J
Terhoeven-Urselmans, T
Topics
Decision Support Systems
Precision Agriculture for Small Holders
Satellite Imagery
Education and Outreach Innovations
Precision Nutrient Management
Precision Water Management
Plenary
Type
Oral
Poster
Year
2020
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Authors

Filter results9 paper(s) found.

1. Excellence in Agronomy 2030: A new CGIAR-wide initiative to deliver agronomy solutions at scale

Required increases in crop production and productivity in sub-Saharan Africa (SSA) will not happen without the increased use of appropriate agronomic practices. While several thousand new varieties of nearly all key crops have been produced in the past decade, recent increases in yields in specific countries have only happened when such varieties received the right agro-inputs and management. That said, agronomy is often highlighted as an area that has not delivered impact at scale in SSA, or... B. Vanlauwe, T. Amede, F. Baudron, P. Chivenge, M. Devare, K. Saito, J. Kihara, V. Nangia, P. Pypers, K. Shepherd, E. Vandamme

2. Mapping African soils at 30m resolution - iSDAsoil: leveraging spatial agronomy in farm-level advisory for smallholders

Field level soil data has been the foundation of agronomic advisory, but traditional methods involving on-farm sampling are too expensive for a large proportion of African smallholders. Building on the work of the African Soil Information Service (AfSIS), Innovative Solutions for Decision Agriculture (iSDA) and partners have created an agronomic soil database which covers the entire African continent at a spatial resolution of 30 m. “iSDAsoil” combines remote sensing data and other... J. Crouch

3. The Vision of Future Earth Observation for Agriculture

The main objective of EO4AGRI is to catalyze the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on information derived from Copernicus satellite observation data and through exploitation of associated geospatial and socio-economic information services. EO4AGRI assists the implementation of the EU Common Agricultural Policy (CAP) with special attention to the CAP2020 reform, to requirements of Paying Agencies, and... K. Charvat, V. Safar, H. Kubickova

4. SmartAfriHub for SmartAgriculture capacity buidling in Africa

Digital Innovation Hubs (DIH) are multi-actor ecosystems that support farming communities in their digital transformation by providing a broad variety of services from a one-stop shop. DIHs purpose is to  provide a social space for community of practices;  provide access to digital technologies and competencies; provide access to infrastructure and tests digital innovations (“test before invest”); provide development playground... K. Charvat, C. Miderho , A. Obot, T. Löytty, H. Kubickova

5. Spatial variability and mapping of selected soil quality indicators for precision farming at a smallholding level in Minna, Nigeria

Smallholding farmers in Nigeria still practice blanket application of fertilizers, without giving consideration to spatial variations in soil properties across their fields. Understanding of spatial variability in soil properties is essential for precision farming, especially in this era of resource scarcity and high cost of fertilizers. This study was carried out to assess and map the spatial variability in selected soil quality indicators in a smallholder farm in Minna, North-central Nigeria,... B. Lawal, M.K. Adeboye, P.A. Tsado

6. Nutrient management tailored to smallholder agriculture enhances productivity and sustainability

Plant nutrition plays a central role in the global challenge to produce sufficient and nutritious food, lessen rural poverty, and reduce the environmental footprint of crop production. Efficient fertilizer use requires tailored solutions that are scientifically sound, practical and scalable especially for smallholder farmers, such as the crop-led site-specific nutrient management (SSNM) approach developed in the 1990s for cereal production systems in Asia to address variability among farms. Originating... P. Chivenge, K. Saito, M. Bunquin, S. Sharma, A. Dobermann

7. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environment

Increasing pressure on available water resources in semi-arid region will affect the availability of water for irrigated agriculture. In this context, adoption of innovative and cost-effective tools for water management and analysis of water use patterns in irrigated areas is required for an efficient and sustainable use of water resources.  This study aims to evaluate a remote sensing-based approach which allows estimation of the temporal and spatial distribution of crop evapotranspiration... M. Kharrou, V. Simonneaux, M. Le page, S. Er-raki, G. Boulet, J. Ezzahar, S. Khabba, A. Chehbouni

8. Mapping African soils at 30m resolution - iSDAsoil - Western Time Zones

“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van den bosch, C. Van beek, M. Chernet, S. Aston

9. Mapping African soils at 30m resolution - iSDAsoil - Eastern Time Zones

“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... C. Van beek, M. Chernet, S. Aston, M. Miller, J. Collinson, K. Shephard, J. Crouch, T. Terhoeven-urselmans