Vegetable Distribution System Using Machine Learning Approach
| Autor: | Jair Minoro Abe, Chunsheng Yang, Ari Aharari |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Successor cardinal
Focus (computing) business.industry Computer science media_common.quotation_subject Distribution (economics) Machine learning computer.software_genre Field (computer science) machine learning Agriculture New product development Production (economics) Quality (business) Artificial intelligence business vegetable distribution computer media_common |
| Zdroj: | New Developments of IT, IoT and ICT Applied to Agriculture ISBN: 9789811550720 |
| DOI: | 10.1007/978-981-15-5073-7_1 |
| Popis: | The aging of the farmer has progressed in Japan rapidly, and successor problem is becoming more serious. Most of the researches have been focused on high quality, mass production, and management of field server. However, the establishment of new product distribution and management technology is a major challenge, especially for new farmers. In this paper, we focus on the vegetable distribution system to solve the management issues of the farming acquisition of technology. We also propose newly designed machine learning based vegetable distribution system which is controlled by market factors, field environmental information, and weather information. Series: Smart Innovation, Systems and Technologies |
| Databáze: | OpenAIRE |
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