Krishimitr: A Cloud Computing and Platform for Disease Detection in Agriculture
2019 ◽
Vol 8
(12)
◽
pp. 2967-2970
Keyword(s):
Automating disease detection is a cornerstone in the journey to achieving sustainable agriculture. We describe a framework utilizing Machine Learning, Cloud Computing and Internet-of-Things which brings experts to farmers, allowing for timely detection of diseases. This innovative and comprehensive framework provides agronomists and farmers with a solution for diagnosing plant diseases. By leveraging modern ICT capabilities, this extensible framework is currently trained for over 15 plant types and more than 51 disease types. Our framework employs a hybrid model combining use of both online and offline resources to provide up-to-date information to farmers even in case of patchy connectivity
2021 ◽
Vol 19
(3)
◽
pp. 163
2021 ◽
Vol 11
(4)
◽
pp. 251-264
2019 ◽
Vol 9
(1)
◽
pp. 1560-1565
2020 ◽
Vol 10
(3)
◽
pp. 2322
Keyword(s):
2020 ◽
Keyword(s):