The feasibility of hand-held thermal and UAV-based multispectral imaging for canopy water status assessment and yield prediction of irrigated African eggplant (Solanum aethopicum L)
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
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 irri gation, CWSI can be used at vegetative or full vegetative stages next to NDVI or OSAVI depending on available
resources.
Description
Journal Article
Keywords
African eggplant, Crop water stress index, Irrigation, Remote sensing, Thermal imaging, UAV, Vegetation indices