High-throughput phenotyping of a large tomato collection under water deficit: Combining UAVs’ remote sensing with conventional leaf-level physiologic and agronomic measurements
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DOI: 10.1016/j.agwat.2021.107283
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- Wan, Wenliang & Zhao, Yanhui & Wang, Zijian & Li, Liulong & Jing, Jianguo & Lv, Zhaoyan & Diao, Ming & Li, Weihua & Jiang, Guiying & Wang, Xiao & Jiang, Dong, 2022. "Mitigation fluctuations of inter-row water use efficiency of spring wheat via narrowing row space in enlarged lateral space drip irrigation systems," Agricultural Water Management, Elsevier, vol. 274(C).
- Yu Iwahashi & Gunardi Sigit & Budi Utoyo & Iskandar Lubis & Ahmad Junaedi & Bambang Hendro Trisasongko & I Made Anom Sutrisna Wijaya & Masayasu Maki & Chiharu Hongo & Koki Homma, 2022. "Drought Damage Assessment for Crop Insurance Based on Vegetation Index by Unmanned Aerial Vehicle (UAV) Multispectral Images of Paddy Fields in Indonesia," Agriculture, MDPI, vol. 13(1), pages 1-14, December.
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Keywords
Field phenotyping; Fruit quality; Landraces; NDVI; Photosynthesis; Remote sensing; WUE;All these keywords.
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