Inversion and Fine Grading of Tidal Flat Soil Salinity Based on the CIWOABP Model
Jin Zhu,
Shuowen Yang,
Shuyan Li,
Nan Zhou,
Yi Shen,
Jincheng Xing,
Lixin Xu,
Zhichao Hong and
Yifei Yang ()
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Jin Zhu: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Shuowen Yang: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Shuyan Li: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Nan Zhou: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Yi Shen: The Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210000, China
Jincheng Xing: The Salt Soil Agriculture Research Laboratory at Jiangsu Coastal Area Institute of Agricultural Sciences, Yancheng 224000, China
Lixin Xu: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Zhichao Hong: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Yifei Yang: Ocean College, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Agriculture, 2025, vol. 15, issue 3, 1-19
Abstract:
This study on soil salinity inversion in coastal tidal flats based on Sentinel-2 remote sensing imagery is significant for improving saline–alkali soils and advancing tidal flat agriculture. This study proposes an improved approach for soil salinity inversion in coastal tidal flats using Sentinel-2 imagery and a new enhanced chaotic mapping adaptive whale optimization neural network (CIWOABP) algorithm. Novel spectral indices were developed to enhance correlations with salinity, significantly outperforming traditional indexes. The CIWOABP model achieved superior validation accuracy (R 2 = 0.815) and reduced root mean square error (RMSE) and mean absolute error (MAE) compared to other machine learning models. The results enable the precise mapping of salinity levels, aiding salt-tolerant crop cultivation and sustainable agricultural management. This method offers a reliable framework for rapid salinity monitoring and precision farming in coastal regions.
Keywords: tidal flat agriculture; remote sensing inversion; spectral indices; precision breeding (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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