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AfPCA Proceedings 2024

Proceedings

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Ouattara, I
Osia, M
Ogunkunle, A
Velasquez, A.E
Osayande, P.E
Vona, M
Olutoberu, T
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Authors
Bakirdjian, E
Harigaya, T
Osia, M
Zhu, J
Abuli, J
Bayala, T
Ouattara, I
Visala, A
Malo, S
Kulmany, I.M
Vona, V
Vona, M
Szekeres, L
Bede, L
Milics, G
Kovacs, B
Denton, O.A
Ogunkunle, A
Ikuenobe, E.C
Madukwe, K.D
Ekhator, F
Aduramigba, V.M
Osayande, P.E
Solomon, S
Okoye, N.M
Higuti, V.A
Velasquez, A.E
Gasparino, M.V
Magalhães, D.V
Becker, M
Milori, D.M
Aroca, R.V
Olutoberu, T
Topics
Precision Agriculture for Small Holders
Applications for UAVs
Adoption of Precision Agriculture
Mapping and Geostatistics
Precision Agriculture for Field and Plantation Crops
Robotics, Automation, and Small Farm Mechanization
Type
Oral
Poster
Year
2020
2024
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Authors

Filter results7 paper(s) found.

1. Digital platforms for boosting farmer knowledge: Two case studies in Kenya and Uganda

Approximately 80% of all farms in Africa, or 33 million farms, are two hectares or less in size. Many of these smallholder farmers do not have access to resources, including extension services, to improve their farms. Lack of knowledge of Good Agronomic Practices (GAPs) causes farmers to fail to reach their full yield potential. Extension workers responsible to provide these GAPs to farmers are spread thin. For example, as of March of 2019, there was one extension worker for every 1,800 coffee... E. Bakirdjian, T. Harigaya, M. Osia, J. Zhu, J. Abuli

2. Cashew Trees Detection and Yield Analysis using UAV-based Map

In this study we developed a novel method to detect cashew trees in an orthophoto map derived from images collected by an unmanned aerial vehicle (UAV). We also suggest a way in which these detections can be used to analyse the yield of the cashew farm. The proposed method uses images analysis to find the tops of trees, to merge different tops located on the same tree, and to segment individual tree. The segmented trees are used in a deep learning framework to know the exact location of cashew... T. Bayala, I. Ouattara, A. Visala, S. Malo

3. Delineation of site-specific management zones based on soil apparent electrical conductivity (ECa) measurement combining traditional soil sampling method

Site-specific management requires the identification of treatment areas based on homogeneous characteristics. The designation of subfield regions is challenging because of complex correlations appearing in spatial variability of soil properties and nutrient concentrations.  The research was conducted on two neighbouring fields (48 ha and 15 ha) in Fejér county, Hungary. Soil ECa mapping was carried out on 22 October, 2019 and soil samples were taken on 15 November, 2019.... I.M. Kulmany, V. Vona, M. Vona, L. Szekeres, L. Bede, G. Milics, B. Kovacs

4. LAND DEGRADATON RISK ASSESSMENT AT A SITE IN AFIJIO LOCAL GOVERNMENT AREA OF OYO STATE, NIGERIA

Soils are considered non –renewable and it is a limited resource therefore the continuous use of land without appropriate management practices leads to land degradation in the long run. Land degradation is the decline in soil quality caused by natural factors or, more often, by improper use/management usually for agricultural, pastoral or urban purposes. This study aims to map the soils while also assessing the state of land degradation in Afijio Local government area of Oyo state. The study...

5. Evaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria

Evaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria   *Ekhator F1., Osayande P1.,  Aduramigba-Modupe V.O2., Solomon O1., and  Ikuenobe C.E1. 1Nigerian Institute for Oil Palm Research (NIFOR) P.M.B 1030, Benin City, Edo State 2Institute of Agricultural Research and Training, Obafemi Awolowo University, Ibadan, Oyo... E.C. Ikuenobe, K.D. Madukwe, F. Ekhator, V.M. Aduramigba, P.E. Osayande, S. Solomon, N.M. Okoye

6. LiDAR-based soybean crop segmentation for autonomous navigation

The technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca

7. Land Suitability Prediction for Maize Production in Southwest Nigeria Using Geographical Information System and Mostlimiting Soil Native Fertility Factors

... T. Olutoberu