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AfPCA Proceedings 2024

Proceedings

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Woldekristos, A.N
LEE, J
Ambrus, B
LEBRINI, Y
WILLIAM, L
Akinseye, F.M
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Authors
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Tukur, A
Ajeigbe, H.A
Akinseye, F.M
Mohammed, I.B
Badamasi, M.M
Ambrus, B
Teschner, G
Neményi, M
Nyéki, A
LEBRINI, Y
AYERDI-GOTOR, A
Kenea, W.B
Tura, T.B
Woldekristos, A.N
SOGBEDJI, J
WILLIAM, L
LARE, M
SEKAYA, A
SIKA , K
TAGBA, E
Kenea, W
Woldekristos, A.N
Balemi, T
Topics
Precision Agriculture for Field and Plantation Crops
Satellite Imagery
Robotics, Automation, and Small Farm Mechanization
Proximal and Remote Sensing
Precision Nutrient Management
Economics of Precision Agriculture
Small Holders and Precision Agriculture
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results7 paper(s) found.

1. Development of Canopy Mapping System of Asian pears (Pyrus pyrifolia Naka) Using Terrestrial Laser Scanning

In this paper, the canopy mapping system (CMS) of Asian pears for estimating yield during Bud thinning and Pruning operations using point cloud data was proposed. Bud thinning and Pruning in Asian pear (Pyrus pyrifolia Naka) is necessary to ensure quality and yield but is time-consuming and heavily depends on work knowledge. This study described a method of estimating the number of fruits through the length of a branch based on remote sensing. The CMS would be useful to support more efficient... E. Morimoto, J. Lee, K. Nonami, I. Matumura, M. Ikebe, S. Sato

2. Predicting in-Season Sorghum yield potential using Remote Sensing Approach: a case study of Kano in Sudan Savannah agro- ecological zone, Nigeria

The preliminary estimation of expected yields and the accuracy of this evaluation provide information for decision-making related to the harvest. Estimating crop yield using remote sensing techniques has proven to be successful, having the ability to provide yield estimates prior to harvest. This study was conducted to examine the applicability of Sentinel-2B for estimating sorghum yield during the 2018 rainy season in Bebeji, Dawakin-Kudu and Rano Local Government Areas Kano State, in the Sudan... A. Tukur, H.A. Ajeigbe, F.M. Akinseye, I.B. Mohammed, M.M. Badamasi

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

4. Performance of Remote Sensing Data and Machine Learning for Wheat Disease Detection

The use of agrochemicals has many impacts on humans’ health and generates many environmental issues. However, a suitable management of agrochemicals inputs, such as insecticides, fungicides, and herbicides, is crucial to the success of wheat crops under climate change conditions. The use of remote sensing technologies in agriculture was raised within the technological evolution of materials and techniques during last decades. The development of new and cheap sensors has been the main reason... Y. Lebrini, A. Ayerdi-gotor

5. Precision Maize Nutrition: Evidences from On-farm Experimentation of Quefts Estimated Nutrient Requirement for Variable Densities in Smallholder Farmers in Ethiopia

Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model is an important tool for estimating optimal nutrient requirement of crops. The study was conducted to evaluate QUEFTS estimated (QE) nutrient requirement of maize in two pant densities (32,443 and 53,333 plants/ha in Central Rift Valley (CRV); 27724 and 62,000 plants/ha in Jimma) on fields of three farmers wealth classes (poor, medium and wealth) in contrasting agro-ecologies of Ethiopia. QUEFTS follows a target oriented... W.B. Kenea, T.B. Tura, A.N. Woldekristos

6. Maximisation De L’efficience D’utilisation Des Nutriments : Recommandation De Fertilisation à La Carte Pour Le Maïs Sur Les Ferralsols Du Sud-togo

L'amélioration de la nutrition des plantes à travers l'agriculture de précision devient incontournable pour l'optimisation de l'entreprise agricole et la protection de l'environnement. Nous avons conduit pendant la grande saison culturelle de 2019 et 2020, sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium (K) à la station d'expérimentations agronomiques (SEAL)... J. Sogbedji, L. William, M. Lare, A. Sekaya, K. Sika , E. Tagba

7. Sustainability of Maize Production with Farmers’ Practices and Redesigned Crop Management Practices in CRV and Jimma of Ethiopia

Multi-criteria assessment of crop management practices is vital for sustainable crop production and environmental safety. In this study, sustainability of maize production with farmer’s practice (FP), redesigned plant density plus current fertilizer use (RDCF), current plant density plus redesigned fertilizer use (CDRF), and redesigned plant density and redesigned fertilizer use (RDRF) were assessed at farm level based on social, agronomic, economic and environmental principles in Central... W. Kenea, A.N. Woldekristos, T. Balemi