Estimating soil salinity in mulched cotton fields using UAV-based hyperspectral remote sensing and a Seagull Optimization Algorithm-Enhanced Random Forest Model-Reference-Cited by-同舟云学术

Estimating soil salinity in mulched cotton fields using UAV-based hyperspectral remote sensing and a Seagull Optimization Algorithm-Enhanced Random Forest Model

Published:2024-06 Issue: Volume:221 Page:109017
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Tan Jiao,Ding Jianli,Wang Zeyuan,Han Lijing,Wang Xiao,Li Yongkang,Zhang Zhe,Meng Shanshan,Cai Weijian,Hong Yanhong

Publisher

Elsevier BV

Reference65 articles.

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3. Salinity induced physiological and biochemical changes in plants: An omic approach towards salt stress tolerance;Arif;Plant Physiol. Biochem.,2020

4. Burger, J., & Geladi, P.J.J.o.C.A.J.o.t.C.S. (2006). Hyperspectral NIR image regression part II: dataset preprocessing diagnostics, 20, 106-119.

5. Effects of water quality, irrigation amount and nitrogen applied on soil salinity and cotton production under mulched drip irrigation in arid Northwest China;Che;Agric. Water Manag.,2021

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