Successfully quantified ‘how environmental factors contribute to the yield of long-term cultivated crops’ using statistical models
September 12, 2024
This new tool for optimizing agricultural production contributes to sustainable food production
Understanding the complex interactions between environmental factors and crop growth is essential for improving resource efficiency and achieving sustainable agriculture. Researchers at Shiga University and the RIKEN CSRS have successfully applied a varying-coefficient functional regression model, one of the methods of functional data analysis, to cultivation data analysis to quantify how factors such as temperature and solar radiation affect the yield of crops over cultivation periods.
The complexity of weather conditions and other environmental factors makes it challenging to clarify these relationships. This study demonstrates that it is possible to model how environmental factors influence yield for crops cultivated over long periods, such as strawberries and tomatoes. The extension of this research is expected to provide a new tool for optimizing agricultural production.
- Original article
- Horticulture Research doi: 10.1093/hr/uhae144
- H. Matsui, K. Mochida,
- "Functional data analysis-based yield modeling in year-round crop cultivation".
- Contact
- Keiichi Mochida
Team Leader
Bioproductivity Informatics Research Team
