We are developing UAV-based systems to monitor water conditions in crop fields and pastures and to provide this information to smartphones.

We are also developing a framework that uses HYDRUS to predict temporal changes in soil moisture under different field design and management practices, and then estimates crop water stress over time based on the predicted soil moisture. The resulting water stress indicators are used to evaluate and identify better approaches to field design and management.

ドローンが地区内の各畑や牧草地の水分状況を自動観測してスマートフォンに配信するシステムの開発と、HYDRUSを用いて予測した土壌水分から作物の水ストレスを経時的に予測し、その水ストレスを指標として圃場の整備や管理の方法を検討する評価体系の開発を試みています。