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AfPCA Proceedings 2024

Proceedings

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Milics, G
Shaibu, I
Singh, P
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Authors
Kulmany, I.M
Vona, V
Vona, M
Szekeres, L
Bede, L
Milics, G
Kovacs, B
Crouch, J
Shephard, K
Miller, M
Collinson, J
Singh, P
Pypers, P
van den Bosch, R
van Beek, C
Chernet, M
Aston, S
Agbemabiese, Y.K
Abubakari, P
Dzomeku, P.K
Shaibu, I
Topics
Adoption of Precision Agriculture
Plenary
Precision Water Management
Type
Poster
Oral
Year
2020
2022
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Authors

Filter results3 paper(s) found.

1. 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

2. Mapping African soils at 30m resolution - iSDAsoil - Western Time Zones

“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van den bosch, C. Van beek, M. Chernet, S. Aston

3. Modelling Fertigation and Micro-Climate Parameters for Greenhouse Tomato (Solanum Lycopersicum L.)

Amidst the hiking price of fertilizer and projected water scarcity across the world, it is imperative to explore the interaction between fertilizer, irrigation and genotype notwithstanding the micro-climate parameters so as to maximize yield while protecting the environment. The Decision Support System for Agrotechnology Transfer (DSSAT) is a model which employs all these input factors to help predict yield and thereby make an informed decision.  The study sort to calibrate and validate the... Y.K. Agbemabiese, P. Abubakari, P.K. Dzomeku, I. Shaibu