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D. Paudel ; A. de Wit ; H. Boogaard ; D. Marcos ; S. Osinga ; I.N. Athanasiadis |Machine learning models for crop yield forecasting often rely on expert-designed features or predictors. The effectiveness and interpretability of these handcrafted features depends on the expertise of the people designing them. Neural networks [...]
Article
Machine learning (ML) and its branch, deep learning (DL), is rapidly evolving and gaining popularity as it outperforms other, more traditional methods in different areas of agriculture. However, ML and DL techniques must be correctly applied to [...]
Article
L. Mohimont ; F. Alin ; M. Rondeau ; N. Gaveau ; L.A. Steffenel |During the last decades, researchers have developed novel computing methods to help viticulturists solve their problems, primarily those linked to yield estimation of their crops. This article aims to summarize the existing research associated w[...]
Article
Predicting crop yields is one of the most challenging tasks in agriculture. It plays an essential role in decision making at global, regional, and field levels. Soil, meteorological, environmental, and crop parameters are used to predict crop yi[...]
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Short-range predictions of crop yield provide valuable insights for agricultural resource management and likely economic impacts associated with low yield. Such predictions are difficult to achieve in regions that lack extensive observational re[...]
Article
L. Schmidt ; M. Odening ; J. Schlanstein ; M. Ritter |CONTEXT Weather is a pivotal factor for crop production as it is highly volatile and can hardly be controlled by farm management practices. Since there is a tendency towards increased weather extremes in the future, understanding weather-related[...]
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Winter crops in most of the northern and eastern Mediterranean growing regions are faring well in this first half of 2021-2022 campaign. However, an intense and long-lasting drought is hampering winter crops’ future harvest in Portugal, Morocco,[...]
Rapport, Expertise, Working Paper
Winter crops in several Mediterranean growing regions are under scrutiny. An intense and long-lasting drought hampered winter crops’ future harvest in Morocco, Portugal and parts of Italy and Algeria, and can potentially impact other producing r[...]
Article
M. Engen ; E. Sando ; B.L. Sjolander ; S. Arenberg ; R. Gupta ; M. Goodwin |Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources. Recent studies on crop yield production are limited to regional-scale [...]
Article
Agricultural systems are constantly stressed due to higher demands for products. Consequently, water resources consumed on irrigation are increased. In combination with the climatic change, those are major obstacles to maintaining sustainable de[...]
Article
Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple processin[...]
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Winter crops in most of the northern Mediterranean growing regions are faring well during the final stages of the 2020-2021 campaign. Exceptions occurred for those regions where cereals were hampered by cold spells, high temperature fluctuations[...]
Rapport, Expertise, Working Paper
Winter crops in fair condition in account of occurred unusual weather events throughout the first half of the cereal campaign. Moderate level of concern for the final outlook in central Maghreb regions.
Article
Most crop models were developed and tested in homogeneous field conditions. However, these crop models are increasingly applied beyond the field scale for larger regions. Inadequate representation of the spatial variability at a larger scale int[...]
Article
Predicting crop yield response to management and environmental variables is a crucial step towards nutrient management optimization. With the increase in the amount of data generated by agricultural machinery, more sophisticated models are neces[...]
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
Rapport, Expertise, Working Paper
