The goal of this paper is to develop a deep learning model for predicting citrus yield. The data used consists of two sources: (1) field data that includes information on fertilization and phytosanitary treatment products, water quantities used for irrigation, climatic data (temperature,...

Crop yield levels and crop yield variability depend to a high extent on climate conditions. Due to climate change the local crop growth conditions in Switzerland are expected to change. This study addresses the question how weather, soil and management factors influenced mean wheat yield levels...