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AfPCA Proceedings 2024

Proceedings

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Nigussie, A
Kafesu, N
Mercatoris, B
Engoke, C
Hornick, J
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Authors
Chebli, Y
El Otmani, S
Chentouf, M
Hornick, J
Cabaraux, J
Chikowo, R
Zingore, S
Kafesu, N
EL-MEJJAOUY, Y
Dumont, B
Vermeulen, P
Oukarroum, A
Mercatoris, B
Topics
Decision Support Systems
Proximal and Remote Sensing
Type
Poster
Oral
Year
2020
2022
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Authors

Filter results3 paper(s) found.

1. Application of precision agriculture technologies in grazing: example of goats browsing in forest rangelands of Northern Morocco

The aim of this study was to characterize patterns of grazing behavior of goats in a Mediterranean forest rangeland. We conducted a one-year study in the Chefchaouen region, Northern Morocco, during two contrasting seasons (spring and summer) using new technological tools. Eight goats were simultaneously fitted with GPS collars and sensors for 3 days during each season. A calibration study and classification tree analysis were used to predict other grazing activities of goats (eating, walking,... Y. Chebli, S. El otmani, M. Chentouf, J. Hornick, J. Cabaraux

2. Comparative fertilization effects on maize productivity under conservation and conventional tillage on sandy soils in a smallholder cropping system in Zimbabwe

Low crop yields, food insecurity and abject rural poverty continue to be rampant in much of Southern Africa. Components of conservation agriculture (CA) are being widely promoted in southern Africa as one of the strategies to increase food security and mitigate rural poverty, despite there being scarce empirical evidence on their efficacy on degraded soils. This research aimed to assess the effects of tillage systems on maize grain yields under rain-fed conditions across a soil organic matter... R. Chikowo, S. Zingore, N. Kafesu

3. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves

The assessment of plant nutrient status to provide sufficient fertilization for rapid and continuous uptake by plants has been based on visual diagnosis in the field, which is quick but demands a lot of experience and has low operability. Visible near-infrared spectroscopy (VNIS) has shown to be a quick, non-destructive, accurate, and cost-effective analytical method in precision agriculture. In this study, we assessed the potential of this technology to predict phosphorus and potassium content... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris