HTTP_Request2_Exception Unable to connect to tcp://think-ws.ca.edps.org:85. Error: php_network_getaddresses: getaddrinfo failed: Temporary failure in name resolution Crop State Analysis Using Image Processing | ITM Web of Conferences
Open Access
Issue
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
Article Number 03056
Number of page(s) 5
Section Computing
DOI https://doi.org/10.1051/itmconf/20224403056
Published online 05 May 2022
  1. Jaware, T. H., Badgujar, R. D., Patil, P. G., Crop disease detection using image segmentation. World Journal of Science and Technology 2, 190–194 (2012) [Google Scholar]
  2. M. Jhuria, A. Kumar and R. Borse, Image processing for smart farming: Detection of disease and fruit grading 71, 521–526(2013) [Google Scholar]
  3. J. R. Fiona and J. Anitha, Automated Detection of Plant diseases and Crop Analysis in Agriculture using Image Processing Techniques: A Survey 71, pp. 1–5(2019) [Google Scholar]
  4. Vibhute, Anup S.K. Bodhe, Application of Image Processing in Agriculture: A Survey. International Journal of Computer Applications 1, 34–40(2020) [Google Scholar]
  5. Shibghatallah, Muhammad Abdul Hakim and Khotimah, Siti Nurul and Suhandono, Sony and Viridi, Sparisoma and Kesuma, Teja, Measuringleaf chlorophyll concentration from its color: A way in monitoring environment change to plantations 1, 210–213 (2013) [Google Scholar]
  6. H. A. M. Tran, H. Q. T. Ngo, T. P. Nguyen and H. Nguyen, Design of Green Agriculture System Using In ternet of Things and Image Processing Techniques 37, 28–32 (2018) [Google Scholar]
  7. T. McDonald, Y. R. Chen, Transactions of the ASAE 4, 784–791 (1990) [Google Scholar]
  8. Vijai Singh, A.K. Misra, Detection of plant leaf diseases using image segmentation and soft computing techniques, Information Processing in Agriculture, 4, 41–49(2017) [CrossRef] [Google Scholar]

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