Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 2A2-03
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Verification of the harvesting date prediction method using deep learning
*Kengo MIYOSHIYukikazu MURAKAMI
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

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.

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© 2018 The Japanese Society for Artificial Intelligence
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