Research of the Harvesting Date Prediction Method Using Deep Learning

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 by experience rule of experienced farmers or some mathematical model and simple regression models. However, for new farmers who do not have experiential rules, contract farming is a difficult management method. And previous prediction models cannot consider complex relationship between environmental parameters. In order to solve this problem, this research proposed automatic harvesting date prediction method using statistical model by deep learning. This research confirmed that deep learning models exceed the accuracy of non-deep learning models. And this research proposed a practical system using our models and one existing Web application for management of farming tasks.