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AfPCA Proceedings 2024

Proceedings

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Sela, S
Youssef, T
Murori, R
AKPONIKPE, I.P
Lutomia, C
Coulibaly, O.N
Aduaramigba, V
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Authors
Kioko, W
Kioko, W
Kioko, W
Kioko, W
Kitonyo, O
Chemiming'wa, G
Gebeyehu, S
Murori, R
OKAFOR, B.N
OKAFOR, B.N
Aduaramigba, V
Denton, O
Fassinou Hotegni, N.V
Godonou, Y.L
Gnanglè, L.M
Coulibaly, O.N
Achigan-Dako, E.G
TIDJANI, M.A
TOVIHOUDJI, P.G
AKPONIKPE, I.P
VANCLOOSTER, M
Ludemann, C
Dobermann, A
Graff, N
Sela, S
van Loon, M
Hijbeek, R
van Ittersum, M
Sela, S
Adolwa, I
Muthamia, J
Lutomia, C
Cook, S
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Topics
Precision Agriculture for Field and Plantation Crops
Adoption of Precision Agriculture
Precision Water Management
Precision Nutrient Management
Data Management
On-Farm Experimentation
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results8 paper(s) found.

1. Effect of Plant Population and Nitrogen Rate on Growth and Yield of Two Pre-release rice varieties in Kenya

The application of precision agriculture (PA) through the optimization of plant population and management of fertilizer nitrogen (N) can increase rice yield. Current rice (Oryza sativa) plant population and fertilizer nitrogen (N) management guidelines in  Kenya were developed from research conducted about three decades. These management guidelines might still be robust and could be applied to recently released as well as close-to- release varieties. However, the yield potential of... W. Kioko, W. Kioko, W. Kioko, W. Kioko, O. Kitonyo, G. Chemiming'wa, S. Gebeyehu, R. Murori

2. Mapping of micronutrients status in soils under multivarietal Citrus sinensis production for precision agriculture

Citrus production in Nigeria is below the world average; and this is caused among other things by poor soil management. The situation is further acerbated by blanket fertilizer application and low application of precision in soil fertility management. A study was carried out on a 34 year old multi varietal citrus orchard under sweet orange (Citrus sinensis) to determine the current soil fertility status and variability of micronutrients. Soil samples were collected at a sampling depth... B.N. Okafor, B.N. Okafor, V. Aduaramigba, O. Denton

3. Engaging Stakeholders in Precision Agriculture Toolbox Conception: Case of Cowpea Atlas Platform Establishment in Benin Republic

Cowpea [(Vigna Unguiculata (L.) Walpers] is among the most preferred and consumed legumes in West Africa and grown by many smallholder farmers. The crop has huge potential, is easy to grow and constitute a source of income of many actors involved in different value chains. Unfortunately, despite many interventions which aimed at promoting the crop in West Africa mainly Benin, areas under cowpea crop decrease over the years along with the loss of cowpea-based products. Such problem is... N.V. Fassinou hotegni, Y.L. Godonou, L.M. Gnanglè, O.N. Coulibaly, E.G. Achigan-dako

4. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin.

Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding.  Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of water... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster

5. 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

6. Utilizing Guards (Growing Universal Agronomic Research Data Standard) and the Fair Principles for Data Standardization and Agronomic Insights

The quantity and scope of agronomic data available for researchers in both industry and academia is increasing rapidly. Data sources include a myriad of different streams, such as field experiments, sensors, climatic data, socioeconomic data or remote sensing. The lack of standards and workflows frequently leads agronomic data to be fragmented and siloed, hampering collaboration efforts within research labs, university departments, or research institutes. Researchers and businesses therefore allocate... S. Sela

7. The Value and Potential of On-Farm Experimentation to Catalyze Agricultural Transformation

On-farm experimentation (OFE), which inculcates farmers’ agency in knowledge discovery, has the potential to support and accelerate transformative agronomy at scale. The OFE process within the Nutrient-Catalyzed Agricultural Transformation in Africa (NUTCAT) project, encompasses farmer engagements, set-up of simple, easy-to-understand treatment designs, and contextual analysis of the data to enhance the relevance of the results to farmers. Ultimately, it is envisaged that this process will... I. Adolwa, J. Muthamia, C. Lutomia, , S. Cook

8. 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