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AfPCA Proceedings 2024

Proceedings

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Hemissi, I
Ben-Dor, E
Beryozkin, A
Karim, A
Hafedh, H
Kamau, J.W
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Authors
Hachana, A
Hemissi, I
Achour, I
Souissi, A
Sifi, B
Rave, E
Ohana, N
Linker, R
Termin, D
Beryozkin, A
Paz-Kagan, T
Baram, S
Terhoeven-Urselmans, T
Fletcher, D
Karanja, M.M
Kamau, J.W
Karim, A
Gerrard, B
Ben-Dor, E
Bayad, M
Boughattas, N
Marwa, K
Mohamed, Z
Sawsen, A
Soumaya, A
Hafedh, H
Imen, H
Youssef, T
Topics
Mapping and Geostatistics
Precision Agriculture for Field and Plantation Crops
Precision Agriculture for Small Holders
Plenary Session
Remote and Proximal Sensing
Precision Nutrient Management
Type
Oral
Year
2020
2022
2024
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Authors

Filter results6 paper(s) found.

1. Some essential nutrients, active limestone and pH status of north and center Tunisian soils.

     Tunisia is a North African country characterized by a Mediterranean climate in the north and Saharan climate in the south part of the country, which resulted in a high geo-morphological diversity of its soils. The last are known by their various fertility status that is affected by abiotic constrains such as salinity, drought, erosion and low organic matter concentration. Thereby, soil fertility is largely linked to geographical position, making fertilization recommendation... A. Hachana, I. Hemissi, I. Achour, A. Souissi, B. Sifi

2. Using Remote Sensing to Develop Site-Specific Nitrogen Management in Citrus Orchards

Integrating multivariate spatial analysis with the delineation of site-specific management zones (MZ) provides a basis for practical and cost-effective management of water and nitrogen (N) fertilization in precision agricultural (PA). In many crops, measurements of leaf N content are used to assess the plant’s nutritional status and to develop fertilizer application plans for optimal yields. Accordingly, the aim of this study was to develop leaf N content prediction for citrus based on multispectral... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram

3. Deep Learning is bringing pan-African small holder advisory services based on mid-infrared spectroscopic soil analysis to the next level

The majority of African smallholder farmers do not have access to soil analytical services. The main reasons are relatively high costs of wet chemical services and difficult logistics. As a result they have to rely on blanket fertilizer recommendations. This often causes poor soil management due to very heterogeneous soil conditions. As a result, the return on investment from blanket fertilizer recommendations is low and fertilizer acceptance is not growing among smallholder farmers. Soil spectral... T. Terhoeven-urselmans, D. Fletcher, M.M. Karanja, J.W. Kamau

4. 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

5. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco

Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity  stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution  topsoil (0-30cm) map of Morocco and estimated the... B. Gerrard, E. Ben-dor, M. Bayad

6. 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