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AfPCA Proceedings 2024

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Mamdouh , B
Moi , P.E
Neményi, M
Mutegi, J
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Authors
Belal , A
Abd El-Kader, S
Mamdouh , B
A El-Shirbeny, M
Abdellatif1, M
Jalhoum , M
Zahran, M
Mohamed, E.S
Moi , P.E
Kitonyo, O.M
Chemining’wa, G.N
Kinama, J.M
Ambrus, B
Teschner, G
Neményi, M
Nyéki, A
Topics
Decision Support Systems
Precision Agriculture for Field and Plantation Crops
Robotics, Automation, and Small Farm Mechanization
Type
Oral
Poster
Year
2020
2022
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Filter results3 paper(s) found.

1. Decision Support System for Precision Agriculture management Case study : El Salihiya –east Nile delta, Egypt

.Soil is a complex mixture of living organisms and organic material, along with soil minerals. the main objective  of this work is develop a new methods to improve the agricultural management .The current study relies on developing a decision-making model for agricultural operations to manage potato crops in the El Salihiya area using field data,laboratory analysis and field sensor measurements. The precision agriculture decision support system entitled (EGYPADS) was designed and developed... A. Belal , S. abd el-kader, B. Mamdouh , M. A el-shirbeny, M. abdellatif1, M. Jalhoum , M. Zahran, E.S. Mohamed

2. EFFECT OF INTERCROPPING SORGHUM WITH COWPEA AND NITROGEN APPLICATION ON GROWTH AND YIELD OF SORGHUM (Sorghum bicolor (L.) MOENCH)

Despite the development of improved varieties, the yield of sorghum has remained significantly low in dryland environments due to low soil fertility and inappropriate cropping practices. However, implementation of precision agriculture (PA) within the context of companion cropping with legumes and fine-tuning the supply of fertilizer nitrogen (N) has the potential to increase sorghum yield in these environments. Nonetheless, the effect sorghum-cowpea compatibility, fertilizer N use and their interaction... P.E. Moi , O.M. Kitonyo, G.N. Chemining’wa, J.M. Kinama

3. Self-developed Small Robot for Tomato Plants Detection

A mobile (robot) measuring station for tomato plant detection has been developed, equipped with different sensors and a self-developed hardware and software background. The development aims are the applications in precision crop production: artificial intelligence- based detection, imaging, data collection, automation, and remote sensing. The robot is fault- free in field conditions and is therefore a key development tool for precision farming and digital agriculture. The measurement system developed... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki