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AfPCA Proceedings 2024

Proceedings

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Ndlovu, S
Nyawose, A
Nyawasha, R
NGUYEN, F
Ndeko, A.B
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Authors
Chtouki, M
Oukarroum, A
NGUYEN, F
Ndeko, A.B
Chuma, G.B
Mondo, J.M
Nabintu, B.N
Mushagalusa, G.N
Nyawose, A
Ndlovu, S
Topics
Precision Nutrient Management
Precision Agriculture for Small Holders
Proximal and Remote Sensing
Type
Oral
Poster
Year
2022
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Authors

Filter results4 paper(s) found.

1. Improving Phosphorus Use Efficiency by Chickpea Crop Using Electromagnetic Induction, Soil Properties, and Crop Yield Data Under Semi-arid Conditions

Under arid and semi-arid conditions, the agricultural sector faces many challenges related to the use of water and mineral resources for crop production and food security for an exponentially growing population. The impact of climate changes on water resources availability and soil quality is more and more emphasized under the Mediterranean basin, mostly characterized by drought and extreme weather conditions. The present study aims to investigate how electromagnetic induction technique and soil... M. Chtouki, A. Oukarroum, F. Nguyen

2. Field Performance of Common Bean (Phaseolus Vulgaris L) Under Mycorrhizal Inoculation and Phosphorus Level Application in Kashusha, Eastern Drc

The positive effects of arbuscular mycorrhizal fungi (AMF) on yield and phosphorus uptake have already been widely studied. However, the response of common bean (Phaseolus vulgaris L) to mycorrhizal inoculation and phosphorus supply is still poorly documented in South Kivu where the use of fungal biofertilizers is not yet tested. This study was initiated to determine the effect of mycorrhizal inoculation and increasing doses of phosphorus on common bean performance in South Kivu. The study was... A.B. Ndeko, G.B. Chuma, J.M. Mondo, B.N. Nabintu, G.N. Mushagalusa

3. Estimating Maize Evapotranspiration in Smallholder Farms Using UAV-derived Data and Surface Energy Balance Modelling Techniques

... A. Nyawose

4. A Comparative Estimation of Maize Leaf Moisture Content on Smallholder Farming Systems Using Unmanned Aerial Vehicle (UAV) Based Proximal Remote Sensing

Understanding maize moisture conditions is necessary for crop monitoring and developing early warning systems to optimise agricultural production in smallholder farms. Therefore, this study evaluated the utility of UAV derived multispectral imagery and machine learning techniques in estimating maize leaf moisture indicators; equivalent water thickness (EWT), fuel moisture content (FMC) and specific leaf area (SLA). The results illustrated that both NIR and red-edge derived spectral variables were... S. Ndlovu