Citations (4)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (2)
Tadashi Tsukaguchi, Teruki Miyamae, Ami Morikawa, Ryota Yonezawa, Daiki Sekine & Yoichi Fujihara. (2023) Estimation of grain quality of rice (Oryza sativa L.) by UAV-acquired vegetation index and climate factors. Plant Production Science 26:3, pages 297-308.
Read now
Read now
Shuhei Yamamoto, Shuhei Nomoto, Naoyuki Hashimoto, Masayasu Maki, Chiharu Hongo, Tatsuhiko Shiraiwa & Koki Homma. (2023) Monitoring spatial and time-series variations in red crown rot damage of soybean in farmer fields based on UAV remote sensing. Plant Production Science 26:1, pages 36-47.
Read now
Read now
Articles from other publishers (2)
Junichi Kurihara, Toru Nagata & Hiroyuki Tomiyama. (2023) Rice Yield Prediction in Different Growth Environments Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging. Remote Sensing 15:8, pages 2004.
Crossref
Crossref
Kyohei ITAYA, Akihiro OHSUMI, Hiroko SAWADA, Akina MIZUMOTO & Akira FUKUSHIMA. (2022) Relationships between Indexes Related to Vegetation Measured by Ground Sensing and Growth Traits in a Wheat Cultivar ‘Satonosora’.コムギ品種「さとのそら」における地上センシングにより測定した植生に関する指標と生育量の関係. Japanese Journal of Crop Science 91:4, pages 356-364.
Crossref
Crossref