[2A2] [General Session] 2. Machine Learning

[2A2-03] Verification of the harvesting date prediction method using deep learning

〇Kengo Miyoshi¹, Yukikazu Murakami¹ (1. National Institute of technology, Kagawa College)

Keywords:Deep Learning, harvesting date prediction

Contract farming has a managerial advantage that farmers can directly negotiate prices with business partners. And it is necessary to predict harvesting date of agricultural crops precisely for contract farming. Conventionally, this precondition has been solved only by experience rule of experienced farmers. However, for new farmers who do not have experiential rules or for large-scale field managers, contract farming is difficult management method. In order to solve this problem, we proposed automatic harvesting date prediction method using statistical model by deep learning. We confirmed that deep learning models exceed the accuracy of non-deep learning models.