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AfPCA Proceedings 2024

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Karim, A
Ezui, K.S
Imen, H
Basil, R.T
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Authors
Basil, E.C
Basil, R.T
Ezui, K.S
Karim, A
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Topics
Precision Agriculture for Field and Plantation Crops
Precision Nutrient Management
Plenary Session
Precision Nutrient Management
Type
Oral
Year
2020
2022
2024
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Authors

Filter results4 paper(s) found.

1. Mapping of soil nutrients variability in some plantation crops in Abeokuta, Ogun State Nigeria.

The activities of man on the soil and the undulating topography have great effects on soil nutrients variability. For near accurate application of nutrients in precision agriculture in order to reduce wastage of resources, this research was conducted to acquaint the research farm of the institute with the nutrient variability at specific locations. A detailed soil survey was carried out at the Teaching and Research Farms of the Federal University of Agriculture, Abeokuta, Ogun State Nigeria. Following... E.C. Basil, R.T. Basil

2. Precision Nutrient Management for Cassava Production

Matching nutrient supplies with plant nutrient requirements is key to sustaining crop production while preserving the environment. However, fertilizer recommendations are either inexistent or provided as blanket rates in cassava production systems in sub-Saharan Africa. We studied the effects on cassava yield and profitability of site-specific fertilizer rates against farmer’s practices within the framework of the African Cassava Agronomy Initiative (ACAI) project in Nigeria and Tanzania. A... K.S. Ezui

3. IA Algorithm for Plant Counting: Palm Oil Trees Example

Counting and estimating plants can sometimes be a real challenge. In this presentation we will see a concrete example of the application of UAV imagery and AI applied to palm cultivation in order to count the plants on a given area. ... A. Karim

4. 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