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Abdelfattah, M.A

AMOUZOU, K

Mahyou, H

Löytty, T

Egbebi, I.A

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Authors

Charvat, K

Miderho , C

Obot, A

Löytty, T

Kubickova, H

Mahyou, H

Balaghi, R

Egbebi, I.A

Oyedele, D.J

Tijani, F.O

Egbebi, O.E

Amin, M.E

Abdelfattah, M.A

Mohamed, E.S

Belal, A.A

Nabil, M

Mahmoud, A.G

LARE, M

SOGBEDJI, J

LOTSI, K

AMOUZOU, K

ALE GONH-GOH, A

AGNEROH , A

Topics

Education and Outreach Innovations

Decision Support Systems

Climate Smart Agriculture

Precision Planting/Harvesting

Economics of Precision Agriculture

Type

Poster

Oral

Year

2020

2022

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Authors

Filter results5 paper(s) found.
1. 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 Download paper
2. Crop monitoring and forecasting system based on cloud data and capabilities Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system. The...
3. Water Application Efficiency of an Ultisol in Response to Climate Change in Two Agroecological Zones of Nigeria Irrigation and fertilizer application are management practices farmers have adopted to increase food production for the growing population. This has improved crop nutrient absorption and the efficiency of fertilizer applied to the soil. This is essential to reduce plant water stress in a climate changing environment. This study investigated and compared water application efficiency under manual sprinkler irrigation with capillary irrigation method on ultisols located in rainforest and derived... I.A. Egbebi, D.J. Oyedele, F.O. Tijani, O.E. Egbebi
4. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud
5. Recommandation De Formules De Fertilisation Site-spécifique Pour La Production Du Maïs Dans La Région Des Savanes Du Togo Dans le contexte actuel de la dégradation des terres agricoles et des difficultés de disponibilité et d'accès aux intrants agricoles en particulier les engrais, la maximisation de l'efficience d'utilisation des nutriments en nutrition des plantes devient plus que jamais une nécessité. Nous avons conduit en 2020 sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale Gonh-goh, A. Agneroh Download paper

Filter results5 paper(s) found.

1. 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

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2. Crop monitoring and forecasting system based on cloud data and capabilities

Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system. The...

3. Water Application Efficiency of an Ultisol in Response to Climate Change in Two Agroecological Zones of Nigeria

Irrigation and fertilizer application are management practices farmers have adopted to increase food production for the growing population. This has improved crop nutrient absorption and the efficiency of fertilizer applied to the soil. This is essential to reduce plant water stress in a climate changing environment. This study investigated and compared water application efficiency under manual sprinkler irrigation with capillary irrigation method on ultisols located in rainforest and derived... I.A. Egbebi, D.J. Oyedele, F.O. Tijani, O.E. Egbebi

4. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression

Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud

5. Recommandation De Formules De Fertilisation Site-spécifique Pour La Production Du Maïs Dans La Région Des Savanes Du Togo

Dans le contexte actuel de la dégradation des terres agricoles et des difficultés de disponibilité et d'accès aux intrants agricoles en particulier les engrais, la maximisation de l'efficience d'utilisation des nutriments en nutrition des plantes devient plus que jamais une nécessité. Nous avons conduit en 2020 sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale Gonh-goh, A. Agneroh

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