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AfPCA Proceedings 2024

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Kovacs, B
Majumdar, K
Chikhaoui, M
Yusufu , F
Cummings, C
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Authors
Kulmany, I.M
Vona, V
Vona, M
Szekeres, L
Bede, L
Milics, G
Kovacs, B
Dias Paiao, G
Nigon, T.J
Fernández, F.G
Cummings, C
Naeve, S.L
Abail, Z
Benaouda, H
Chikhaoui, M
Benyahia, H
Iben Halima, O
Baraka, M
Douaik, A
Iaaich, H
Zouahri, A
Omari, F
Topics
Adoption of Precision Agriculture
Proximal and Remote Sensing
Precision Nutrient 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. Estimating greensnap yield damage with canopy reflectance: a case study

Grain yield reduction caused by storm-induced plant breakage (green snap) occurs often in corn fields. With climate change and an increasing frequency in the occurrence of extreme weather events, it is essential to develop methods that can accurately estimate green snap damage, so growers can be properly compensated by insurance companies for yield loss.  Because plant breakage also affects crop canopy reflectance, this case study aimed to characterize the changes in crop canopy reflectance... G. Dias Paiao, T.J. Nigon, F.G. Fernández, C. Cummings, S.L. Naeve

3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms

Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben Halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari