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Journal: Sustainability, 2023
Volume: 15
Number: 10101
10101
Article:
Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning Techniques: A Case of Darjeeling Himalaya, India
Authors:
by
Netrananda Sahu, Pritiranjan Das, Atul Saini, Ayush Varun, Suraj Kumar Mallick, Rajiv Nayan, S. P. Aggarwal, Balaram Pani, Ravi Kesharwani and Anil Kumar
Link:
https://www.mdpi.com/2071-1050/15/13/10101
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Cite
Sahu, N.; Das, P.; Saini, A.; Varun, A.; Mallick, S.K.; Nayan, R.; Aggarwal, S.P.; Pani, B.; Kesharwani, R.; Kumar, A. Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning Techniques: A Case of Darjeeling Himalaya, India. Sustainability 2023, 15, 10101. https://doi.org/10.3390/su151310101
Sahu N, Das P, Saini A, Varun A, Mallick SK, Nayan R, Aggarwal SP, Pani B, Kesharwani R, Kumar A. Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning Techniques: A Case of Darjeeling Himalaya, India. Sustainability. 2023; 15(13):10101. https://doi.org/10.3390/su151310101
Chicago/Turabian StyleSahu, Netrananda, Pritiranjan Das, Atul Saini, Ayush Varun, Suraj Kumar Mallick, Rajiv Nayan, S. P. Aggarwal, Balaram Pani, Ravi Kesharwani, and Anil Kumar. 2023. "Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning Techniques: A Case of Darjeeling Himalaya, India" Sustainability 15, no. 13: 10101. https://doi.org/10.3390/su151310101
APA StyleSahu, N., Das, P., Saini, A., Varun, A., Mallick, S. K., Nayan, R., Aggarwal, S. P., Pani, B., Kesharwani, R., & Kumar, A. (2023). Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning Techniques: A Case of Darjeeling Himalaya, India. Sustainability, 15(13), 10101. https://doi.org/10.3390/su151310101
