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AfPCA Proceedings 2024

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Anken, T
Ali, A.M
Aboneh, T
Abeka, H
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Authors
Soaud, A.A
El-Metwally , E.A
Ali, A.M
Sayed, R.K
Abeka, H
Aboneh, T
Rorissa, P
Wanyama , J
Ikabat, J
Kabenge, I
Hess, P
Nakawuka, P
Bwambale , E
Muyonga, J
Felicioni, S
Bühlmann, A
Anken, T
Topics
Precision Nutrient Management
Precision Nutrient Management
Artificial Intelligence (AI) in Agriculture
Water Management for Precision Agriculture
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results4 paper(s) found.

1. IMPACT OF SENSOR-BASED PRECISION NITROGEN MANAGEMENT ON WHEAT YIELD AND NITROGEN USE EFFICIENCY

Optical sensors are promising new technology for precision nitrogen management in crops. Fertilizer N management for wheat (Cultivar: Giza 171) using optical sensor (GreenSeeker®) was evaluated at the Experimental Farm of Faculty of Agriculture, Cairo University, Giza Governorate, Egypt. The experiment was laid out in randomized block design with three replications during two successive winter seasons (2017/2018 and 2018/2019) to quantify the relationship between N uptake at jointing growth... A.A. Soaud, E.A. El-metwally , A.M. Ali, R.K. Sayed

2. The effectiveness of Neem materials and biochar as nitrification inhibitors in reducing nitrate leaching in a compost-amended Ferric Luvisol

Nitrate produced after mineralization from compost may be prone to leaching especially in Tropical sandy soils, because of increased rate of nitrification and the porous nature of such soils. This may result in low N use efficiency and adverse environmental effects. Inorganic nitrification inhibitors are costly and mostly unavailable in Ghana. The use of simple but effective local materials as nitrification inhibitors is therefore a priority area of research. Two of such materials may be neem... H. Abeka

3. An Ensemble-Based Deep Learning Approach for Early and Accurate Wheat Disease Detection

Crop diseases are the primarily cause for yield loss and a factor for food security issue around the globe. Crop diseases caused by pathogens pose a significant threat to global food security, the challenge become worst particularly in developing countries like Ethiopia. Rapid population growth and accurate disease identification is crucial for timely intervention and minimizing crop losses. However, traditional methods often rely on expert analysis, which can be time-consuming and resource-intensive.... T. Aboneh, P. Rorissa

4. Design and Development of a LoRa Communication System for Scalable Smart Irrigation Systems

Smart irrigation is a promising tool to optimize irrigation water use but is still faced with challenges related to usability and applicability attributed to several constraints such as high initial costs, complex user interface, poor connectivity, limited farm coverage, etc. This study aimed to solve some of these issues through the development and testing of a LoRa communication system using a Raspberry Pi 4, LoRa HAT concentrator, and Strega smart valve at the Makerere University Agricultural... J. Wanyama , J. Ikabat, I. Kabenge, P. Hess, P. Nakawuka, E. Bwambale , J. Muyonga, S. Felicioni, A. Bühlmann, T. Anken