Embedding GIS in crop field bonitation computation
Embedding GIS in crop field bonitation computation
Bogdan Văduva, Oliviu Matei, Anca Avram, Laura Andreica
Abstract. Crop field bonitation, the agronomic evaluation of land quality and agricultural potential, traditionally relies on tabular indicators that ignore the rich spatial context of each parcel. This paper presents an approach for embedding Geographic Information Systems (GIS) directly into the bonitation computation pipeline. By combining cadastral information, soil maps, topography and climate data within a GIS environment, the system computes spatially aware bonitation scores at the level of individual fields. The proposed integration improves the accuracy of land evaluation, supports precision crop matching and provides a flexible basis for further machine-learning-enhanced bonitation frameworks.
Keywords: GIS; land bonitation; soil quality; precision agriculture; spatial analysis
📋 Cite this publication
Bogdan Văduva, Oliviu Matei, Anca Avram, Laura Andreica, "Embedding GIS in crop field bonitation computation", Proc. 19th SOCO Int. Conf. on Soft Computing Models in Industrial and Environmental Applications, Springer, 2024, 2023.
Reference: Proc. 19th SOCO Int. Conf. on Soft Computing Models in Industrial and Environmental Applications, Springer, 2024.
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