期刊
AGRICULTURAL WATER MANAGEMENT
卷 245, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.agwat.2020.106584
关键词
African eggplant; Crop water stress index; Irrigation; Remote sensing; Thermal imaging; UAV; Vegetation indices
资金
- Feed the Future Innovation Lab for Small Scale Irrigation through the U.S. Agency for International Development [AID-OAA-A-13-0005]
- CGIAR Program on Water, Land, and Ecosystems (WLE)
The study evaluated the feasibility of using mobile phone-based thermal and UAV-based multi-spectral imaging to assess the irrigation performance of African eggplant. The results showed that CWSI, NDVI, and OSAVI can be used to predict eggplant yields accurately under different irrigation conditions. Depending on the irrigation level, different imaging technologies can be used at different growth stages to monitor and predict crop performance.
This study was conducted to evaluate the feasibility of a mobile phone-based thermal and UAV-based multi-spectral imaging to assess the irrigation performance of African eggplant. The study used a randomized block design (RBD) with sub-plots being irrigated at 100% (I100), 80% (I80) and 60% (I60) of the calculated crop water requirements using drip. The leaf moisture content was monitored at different soil moisture conditions at early, vegetative and full vegetative stages. The results showed that, the crop water stress index (CWSI) derived from the mobile phone-based thermal images is sensitive to leaf moisture content (LMC) in I80 and I60 at all vegetative stages. The UAV-derived Normalized Difference Vegetation Index (NDVI) and Optimized Soil Adjusted Vegetation Index (OSAVI) correlated with LMC at the vegetative and full vegetative stages for all three irrigation treatments. In cases where eggplant is irrigated under normal conditions, the use of NDVI or OSAVI at full vegetative stages will be able to predict eggplant yields. In cases where, eggplant is grown under deficit irrigation, CWSI can be used at vegetative or full vegetative stages next to NDVI or OSAVI depending on available resources.
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