A device for effective weed removal for smart agriculture using convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01441-z.pdf
Reference31 articles.
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3. Amit K, Chinmay C (2021) Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE. Int J Syst Assur Eng Manag. https://doi.org/10.1007/s13198-021-01174-z
4. Amit S, Lalit G, Chinmay C (2021) Improvement of system performance in an IT production support environment. Int J Syst Assur Eng Manag. https://doi.org/10.1007/s13198-021-01092-0
5. Baskaran B, Radhakrishnan K, Muthukrishnan G, Prasath RN, Balaji KP, Pandian SR (2017) “An autonomous uav-ugv system for eradication of invasive weed prosopis juliflora,” in Information and Communication Technology (CICT), 2017 Conference on, pp. 1–6, IEEE
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