Visualization of Crop Physioecology
The past, present, and future crop physioecology (photosynthesis, transpiration, growth, yield, etc.), which is difficult to measure, can be visualized using environmental information and crop image information that can be easily obtained at crop production sites. It is expected that agriculture will evolve through farmers' ingenuity and rational farm management support (forecasting, optimization, technical diagnosis, etc.) based on crop physioecological information provided by the IoP.
Development of hybrid AI models
In order to visualize the diverse physioecological information of crops, which is difficult to measure in the field, we are developing diverse hybrid AI models that integrate theoretical models and AI. Hybrid AI models are the core models of IoP that can achieve high accuracy and generalization performance.