Integration of Spectral Reflectance Indices and Adaptive Neuro-Fuzzy Inference System for Assessing the Growth Performance and Yield of Potato under Different Drip Irrigation Regimes

Simultaneous and timely assessment of growth and water status-related plant traits is critical for precision irrigation management in arid regions. Here, we used proximal hyperspectral sensing tools to estimate biomass fresh weight (BFW), biomass dry weight (BDW), canopy water content (CWC), and tot...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Salah Elsayed, Salah El-Hendawy, Mosaad Khadr, Osama Elsherbiny, Nasser Al-Suhaibani, Yaser Hassan Dewir, Muhammad Usman Tahir, Muhammad Mubushar, Waleed Darwish
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2021-03-01
Σειρά:	Chemosensors
Θέματα:	ANFIS biomass data driven genetic algorithm proximal remote sensing spectral indices
Διαθέσιμο Online:	https://www.mdpi.com/2227-9040/9/3/55
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