Machine learning-enabled soil classification for precision agriculture: a study on spectral analysis and soil property determination

Author:

Vibhute Amol D.ORCID,Kale Karbhari V.,Gaikwad Sandeep V.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Environmental Science (miscellaneous),Geography, Planning and Development

Reference50 articles.

1. Anne NJ, Abd-Elrahman AH, Lewis DB, Hewitt NA (2014) Modeling soil parameters using hyperspectral image reflectance in subtropical coastal wetlands. Int J Appl Earth Obs Geoinf 33:47–56

2. Balpande US (2013) Ground water information Aurangabad District Maharashtra. Central Region Nagpur, Govt of India Ministry of Water Resources Central Ground Water Board

3. Bandyopadhyay P (2007) Soil analysis. Gene Tech Books:286

4. Barman U, Choudhury RD (2020) Soil texture classification using multi class support vector machine. Inf Process Agric 7(2):318–332

5. Basu PK (2011) Methods manual: soil testing in India. Department of agriculture & cooperation, ministry of agriculture government of India New Delhi. Krishi Bhawan, New Delhi, 110001. https://agriculture.uk.gov.in/files/Soil_Testing_Method_by_Govt_of_India.pdf

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