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AfPCA Proceedings 2024

Proceedings

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KPEMOUA , K.E
Hafedh, H
Onafeso, O.D
Osia, M
Ogunkunle, A
KRIMIBENCHEQROUN , S
HOUESSOU, G
Roudies, N
Ouattara, I
Nakalembe, C
Hendawy , E
Hijbeek, R
Marwa, K
Hobart, M
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Authors
Bakirdjian, E
Harigaya, T
Osia, M
Zhu, J
Abuli, J
Bayala, T
Ouattara, I
Visala, A
Malo, S
Denton, O.A
Ogunkunle, A
Belal, A
Elsayed , M
Jalhoum, M.E
Abdelatif , M
Hendawy , E
Emam, M
Zahran , M
KOUDJEGA, K
GANYO , K.K
ABLEDE, .A
ANI , S.E
AFAWOUBO , K
ANOUMOU , D
ASSIH-FARAM,
MENSAH , A
TCHALLA-KPONDI,
KPEMOUA , K.E
LOMBO , Y
Nakalembe, C
Ogunnaike, M.G
Onafeso, O.D
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
Roudies, N
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Frimpong, K
FASSINOU HOTEGNI, V
Karangwa, A
Manyatsi, A
Amri, M
Cammarano, D
Lesueur, C
Taylor, J
Phillips, S
Achigan-Dako, E.G
HOUESSOU, G
LINKPON, O
Tchokponhoué, D
Houdegbe, C
ADJE, C
IBN EL MOKHTAR, F
KRIMIBENCHEQROUN , S
HARKANI , A
HOUMAIRI , H
IDRISSI , O
Abdellah , E
Abdellah , E
Topics
Precision Agriculture for Small Holders
Applications for UAVs
Mapping and Geostatistics
Adoption of Precision Agriculture
Precision Nutrient Management
Keynote
Climate Smart Agriculture
Proximal and Remote Sensing
Precision Nutrient Management
Plenary Session
Precision Nutrient Management
Education and Engagement in Precision Agriculture
Adoption of Precision Agriculture
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results13 paper(s) found.

1. Digital platforms for boosting farmer knowledge: Two case studies in Kenya and Uganda

Approximately 80% of all farms in Africa, or 33 million farms, are two hectares or less in size. Many of these smallholder farmers do not have access to resources, including extension services, to improve their farms. Lack of knowledge of Good Agronomic Practices (GAPs) causes farmers to fail to reach their full yield potential. Extension workers responsible to provide these GAPs to farmers are spread thin. For example, as of March of 2019, there was one extension worker for every 1,800 coffee... E. Bakirdjian, T. Harigaya, M. Osia, J. Zhu, J. Abuli

2. Cashew Trees Detection and Yield Analysis using UAV-based Map

In this study we developed a novel method to detect cashew trees in an orthophoto map derived from images collected by an unmanned aerial vehicle (UAV). We also suggest a way in which these detections can be used to analyse the yield of the cashew farm. The proposed method uses images analysis to find the tops of trees, to merge different tops located on the same tree, and to segment individual tree. The segmented trees are used in a deep learning framework to know the exact location of cashew... T. Bayala, I. Ouattara, A. Visala, S. Malo

3. LAND DEGRADATON RISK ASSESSMENT AT A SITE IN AFIJIO LOCAL GOVERNMENT AREA OF OYO STATE, NIGERIA

Soils are considered non –renewable and it is a limited resource therefore the continuous use of land without appropriate management practices leads to land degradation in the long run. Land degradation is the decline in soil quality caused by natural factors or, more often, by improper use/management usually for agricultural, pastoral or urban purposes. This study aims to map the soils while also assessing the state of land degradation in Afijio Local government area of Oyo state. The study...

4. 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

5. Determining Nutrients rates for Maize, Rice, Cotton, and Tomato in Dry Savannah zone of Togo based on site specific nutrient management approach

Inadequate fertilizer application limits crop yields and lead to the soil fertility depletion. This study aims at formulating nutrients rates recommendations for main the crops in dry savannah zone of Togo. Site specific nutrient management approach based on spatial variations in nutrients status, crops nutrients requirement and average crop yields under field conditions was used to determine recommendations rates in N, P and K. For maize cropping, nutrients needs are 94 kgN.ha-1, 42...

6. Keynote 2 - Satellite Earth Observations and Machine Learning for Agricultural Monitoring in Sub-Saharan Africa

Food security is one of the most pressing issues faced by many African countries today. 2019 brought further shocks and setbacks to crop production across Africa. Farmers in East Africa, for example, faced more devastating floods, the most severe (and still ongoing) desert locust infestation in 70 years, and of course the COVID-19 pandemic, which has affected every sector and every food system... C. Nakalembe

7. Evolving Potentials for Precision Climate-smart Agriculture in Sub-saharan African Countries

Progressively, there is increasing awareness on the significance of agriculture in both adaptation and mitigation to climate change. While adaptation has been typically highlighted in the most vulnerable countries, especially in Africa where the failure to adapt have been noted to exacerbate the dangers of food insecurity, there is limited effort at emphasizing mitigation as the ultimate resolution of the debacle. Climate-smart agriculture (CSA) is critical to achieving development irrespective... M.G. Ogunnaike, O.D. Onafeso

8. 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

9. 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

10. Scalling Ag Technologies to Unlock Value for Agriculture in Africa - Insights from UM6P-al Moutmir Case in Morocco

Completely aligned with the mission of Africa Ag conference to “connect the science and practice needed to put precision agriculture in action for Africa”, UM6P, through its farming development initiative Al Moutmir in Morocco, works hand in hand with all the Ag players  to scale innovative solutions to unlock Africa value through responsible technologies. We believe African agriculture is at a transformational moment in its history  and a time of incredible possibility... N. Roudies

11. 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

12. Capacity Building of African Young Scientists in Precision Agriculture Through Cross Regional Academic Mobility

Climate change is one of the main problems affecting food and nutrition globally, particularly in sub-Saharan Africa. Adapting to and/or mitigating climate change in the agri-food sector requires merging information technologies, genetic innovations, and sustainable farming practices to empower the agricultural youth sector to create effective and locally adapted solutions. Precision Agriculture applied to crops (PAAC), has been advocated as a strategic solution to mitigate/adapt agriculture at... K. Frimpong, V. Fassinou hotegni, A. Karangwa, A. Manyatsi, M. Amri, D. Cammarano, C. Lesueur, J. Taylor, S. Phillips, E.G. Achigan-dako, G. Houessou, O. Linkpon, D. Tchokponhoué, C. Houdegbe, C. Adje

13. High-Throughput Field Phenotyping of Ascochyta Blight Disease Severity in Chickpea Using Multispectral Imaging

Ascochyta blight (AB) caused by Ascochyta rabiei (Pass.) Labr. is an important and widespread disease of chickpea (Cicer arietinum L.) worldwide. The disease is particularly severe under cool and humid weather conditions, leading to crop losses at all stages of chickpea growth.  Screening for resistant cultivars remains the most effective, economical and ecological method of disease management. However, traditional phenotyping methods that relying on trained experts are... F. Ibn el mokhtar, S. Krimibencheqroun , , A. Harkani , H. Houmairi , O. Idrissi , E. Abdellah , E. Abdellah