Smart Farming and Precision Agriculture and Its Need in Today’s World
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51195-0_2
Reference42 articles.
1. S.K.S. Durai, M.D. Shamili, Smart farming using Machine Learning and Deep Learning techniques. Decis. Anal. J. 3, 100041 (2022). https://doi.org/10.1016/j.dajour.2022.100041
2. N. Katyal, B. Jaganatha Pandian, A comparative study of conventional and smart farming, in Emerging Technologies for Agriculture and Environment, (Springer, Singapore, 2020), pp. 1–8. https://doi.org/10.1007/978-981-13-7968-0_1
3. M. Faridatul, M.S.G. Adnan, A. Dewan, Nexus of urbanization and changes in agricultural land in Bangladesh, in Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries, (Springer, Cham, 2022), pp. 455–469. https://doi.org/10.1007/978-3-030-92365-5_26
4. P. Bhattacharyya, P. Santra, D. Mandal, B. Mondal, Concept and approaches of ecosystem services in agriculture, in Pricing of Ecosystem Services in Agriculture: A Basis of Crop Insurance, (Springer, Singapore, 2022), pp. 1–16. https://doi.org/10.1007/978-981-19-4416-1_1
5. S. De Alwis, Z. Hou, Y. Zhang, M.H. Na, B. Ofoghi, A. Sajjanhar, A survey on smart farming data, applications and techniques. Comput. Ind. 138, 103624 (2022). https://doi.org/10.1016/j.compind.2022.103624
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