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AfPCA Proceedings 2024

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Justin, P
Hendawy , E
Graff, N
Hijbeek, R
Marwa, K
Hobart, M
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Authors
Belal, A
Elsayed , M
Jalhoum, M.E
Abdelatif , M
Hendawy , E
Emam, M
Zahran , M
Komlan, A
Kokou Zovodu, K
Bassarou, A
Esso-Iheyou, G
Justin, P
Hobart, M
Anin-Adjei, E
Hanyabui, E
Badu-Marfo, G
Schirrmann, M
Schiller, N
Ludemann, C
Dobermann, A
Graff, N
Sela, S
van Loon, M
Hijbeek, R
van Ittersum, M
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Topics
Adoption of Precision Agriculture
Proximal and Remote Sensing
Precision Nutrient Management
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results5 paper(s) found.

1. Precision Farming Technology to Increase Soil and Crop Productivity in Egypt Using Remote Sensing and GIS

Precision farming or site-specific land management is a new approach for development the agriculture processes to increase the soil and crop productivity with saving efforts and costs. Precision farming includes many techniques such as Global Position Systems (GPS), Geographic Information Systems (GIS), Remote Sensing (RS), Yield Monitors, Internet of Things (IOT), Variable Rate Application (VRA), Yield Mapping, Site-Specific Management Zones (SSMZ) and Crop Modeling. SSMZ delineation can be improved... A. Belal, M. Elsayed , M.E. Jalhoum, M. abdelatif , E. Hendawy , M. Emam, M. Zahran

2. détermination du bilan minéral partiel des exploitations agricoles à base du coton à l’aide du modèle NUTMON

La dégradation des sols des exploitations agricoles constitue ces dernières années une des causes principales des baisses de rendements au champ. A cet effet, la détermination quantitative des éléments nutritifs des sols cultivés peut contribuer à concevoir des stratégies de gestion durable de la fertilité de ces sols. C’est dans cette optique que 30 exploitations agricoles à base de coton ont été... A. Komlan, K. Kokou zovodu, A. Bassarou, G. Esso-iheyou, P. Justin

3. Photogrammetrically Assessed Smallholder Pineapple Fields in Ghana Using Small Unmanned Aircraft Systems

Ultra-high-resolution imagery taken by small unmanned aircraft systems (sUAS, drones) has been proven beneficial for the monitoring of agricultural crops in conventional farming especially in the context of precision farming. For smallholder pineapple cultivation, the use of sUAS imagery is still sparsely evaluated. However, technical developments in low cost sUAS-sensor combinations make assessments of agricultural areas by service providers more and more affordable for Africa. In this study,... M. Hobart, E. Anin-adjei, E. Hanyabui, G. Badu-marfo, M. Schirrmann, N. Schiller

4. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data Gaps

Improved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum

5. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration

Nitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef