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Authors
Advisor(s)
Abstract(s)
The crop protection costs have economic impacts on the profitability of the farms and environmental consequences due to, in some circumstances, the residues that remain in the soils after the application. The crop protection application may have also direct impacts on human health, because of the residues which remain in the agricultural products, particularly when applied in a non-efficient way. The Common Agricultural Policy in the European Union has already a set of measures to encourage farmers to reduce the level of crop protection application in farming activities. In any case, it is important to bring more insights into these contexts, specifically identifying the most important predictors of crop protection costs in the European Union farms. To achieve these objectives, this study takes into account approaches from the new technologies associated with the digital transition and data from the European Union Farm Accountancy Data Network. The insights obtained allowed us to highlight the most adjusted models and the most important variables to predict crop protection costs in European agriculture.
Description
Keywords
Digital transition European Union farm accountancy data network Common agricultural policy
Citation
Martinho, V.J.P.D. (2024). Important Indicators for Predicting Crop Protection Costs. In: Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-54608-2_6
Publisher
Springer, Cham