| Autor: |
Satoshi Hayashi, Ryo Nishide, Takuji Nakamura, Akihiro Nitta, Takenao Ohkawa, Noriyuki Murakami, Seiichi Ozawa, Hiroyuki Tsuji, Yuya Chonan |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Engineering Proceedings. 9(1) |
| ISSN: |
2673-4591 |
| Popis: |
A simple method for estimating soybean yield under ideal environments in Japan is proposed. Several models that simulate soybean yield have been proposed in other countries; however, direct adaptation to Japanese species is difficult in terms of climatic and regional characteristics. In addition, they often require variety-specific information or various environmental information, which is sometimes hard to simulate. Therefore, we attempted to create a simple simulation model with meteorological data as the main input to the model. The proposed model ignores the features that need setting for each cultivated field and is composed of a statistical model instead of a physiological analysis for the sake of brevity. Although the prediction accuracy of the model needs to be improved, we can use it as a decision support system for soybean cultivation because it requires only location information and can be easily introduced by many farmers. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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