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AfPCA Proceedings 2024

Proceedings

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Balaghi, R
BONGOUA-DEVISME, A
Bassarou, A
Buthelezi , S
Basil, E.C
BRAHAM, M
Ben-Dor, E
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Authors
Basil, E.C
Basil, R.T
Mahyou, H
Balaghi, R
Komlan, A
Kokou Zovodu, K
Bassarou, A
Esso-Iheyou, G
Justin, P
BONGOUA-DEVISME, A
BRAHAM, M
Gerrard, B
Ben-Dor, E
Bayad, M
Buthelezi , S
Topics
Precision Agriculture for Field and Plantation Crops
Decision Support Systems
Adoption of Precision Agriculture
Precision Agriculture for Tree Crops
Remote and Proximal Sensing
Small Holders and Precision Agriculture
Type
Oral
Year
2020
2022
2024
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Authors

Filter results7 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. Crop monitoring and forecasting system based on cloud data and capabilities

Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system.  The...

3. détermination du bilan minéral partiel des exploitations agricoles à base du coton à l’aide du modèle NUTMON

La dégradation des sols des exploitations agricoles constitue ces dernières années une des causes principales des baisses de rendements au champ. A cet effet, la détermination quantitative des éléments nutritifs des sols cultivés peut contribuer à concevoir des stratégies de gestion durable de la fertilité de ces sols. C’est dans cette optique que 30 exploitations agricoles à base de coton ont été... A. Komlan, K. Kokou zovodu, A. Bassarou, G. Esso-iheyou, P. Justin

4. ASSESSMENT OF THE AGRONOMIC EFFECTIVENESS OF DIFFERENT PHOSPHATE AMENDMENT-BASED OF MOROCCO PHOSPHATE ROCK (PR) AND WATER SOLUBLE TRIPLE SUPERPHOSPHATE (TSP) FERTILIZER ON RICE LOWLAND YIELD IN ACIDS SOILS OF WEST AFRICA HUMID ZONE

The purpose of this study was to test the agronomic effectiveness of different types of phosphates amendments based of Morroco phosphate rock (PR) and of triple super phosphate (TSP) on rice yield in acidic soils. Soils which pH were very low to low acidic (pH <6) were selected in three agroecological zones : Man, Gagnoa and Bouaké. The following eight treatments resulting to the combinaison of differents proportions of PR and TSP were implemented on-field before planting rice: Absolute... A. Bongoua-devisme

5. Field Digitization and Decision Support System (Dss) in Peach Cultivation to Manage the Mediterranean Fruitfly, Ceratitis Capitata

The Mediterranean fruit fly, Ceratitis capitata (Wiedermann) (Diptera: Tephritidae), is a highly invasive, polyphagous species that attacks a wide range of fruits. In Tunisia, among the host species, peaches (Prunus persica (L.) are particularly susceptible, especially late-ripening cultivars. The risk of Medfly attack is related to various factors, such as the period of ripening during the season and the physical–chemical characteristics of the fruit. Traditionally, treatments... M. Braham

6. 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

7. Assessing the Utility of Image Segmentation Techniques and Leaf Area Index in Improving Taro Yield Prediction Based on UAV-Acquired Multispectral Data in Smallholder Croplands

... S. Buthelezi