Potential of Hyperspectral and Thermal Proximal Sensing for Estimating Growth Performance and Yield of Soybean Exposed to Different Drip Irrigation Regimes Under Arid Conditions - researchr publication related

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Adel H. Elmetwalli, Salah El-Hendawy, Nasser Al-Suhaibani, Majed AlOtaibi, Muhammad Usman Tahir, Muhammad Mubushar, Wael M. Hassan, Salah Elsayed. Potential of Hyperspectral and Thermal Proximal Sensing for Estimating Growth Performance and Yield of Soybean Exposed to Different Drip Irrigation Regimes Under Arid Conditions. Sensors, 20(22):6569, 2020. [doi]

The following publications are possibly variants of this publication:

Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation RegimesSalah Elsayed, Salah El-Hendawy, Mosaad Khadr, Osama Elsherbiny, Nasser Al-Suhaibani, Majed AlOtaibi, Muhammad Usman Tahir, Waleed Darwish. remotesensing, 13(9):1679, 2021. [doi]

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