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AfPCA Proceedings 2024

Proceedings

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Chemiming'wa, G
Ozou, K.E
Söderström, M
Sibanda, M
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Authors
Söderström, M
Piikki, K
Kihara, J
Mutua, J
Wetterlind, J
Alshihabi, O
Nouiri, I
Mechri, M
Angar, H
Piikki, K
Martinsson, J
Söderström, M
Kioko, W
Kioko, W
Kioko, W
Kioko, W
Kitonyo, O
Chemiming'wa, G
Gebeyehu, S
Murori, R
Amouzouvi, K.M
Ozou, K.E
Kolani, L
Amouzouvi, K.A
Sogbedji, J.M
Söderström, M
Persson, K
Sibanda, M
Topics
Precision Nutrient Management
Decision Support Systems
Precision Agriculture for Field and Plantation Crops
Proximal and Remote Sensing
Robotics, Automation, and Small Farm Mechanization
Type
Oral
Year
2020
2022
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Authors

Filter results6 paper(s) found.

1. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in Africa

Smallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information must... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind

2. CropSAT – opportunities for applications in precision agriculture in Africa

The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström

3. 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

4. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo.

Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé (SEAL)... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji

5. From Drone to Satellite – Does It Work?

Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson

6. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral Data

Natural disasters such as hailstorms are now frequent and negatively impact smallholder farmers' livelihoods. In these events, there is a need for robust and innovative techniques for monitoring the extent of their damage in smallholder croplands to optimise production. In this regard, this study sought to evaluate the utility of drone-derived multispectral data in estimating crop health elements (i.e., equivalent water thickness (EWT), chlorophyll content, and leaf area index (LAI) of maize... M. Sibanda