| 1 |
Patents |
2023 |
Method And System For Predicting Grape Disease Using IoT
Sensors And Machine Learning Published on : 13/10/2023 and
Application No.202321059744 A.
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| 2 |
Copyrights |
2023 |
GRAPE DISEASE PREDICTION USING IOT AND MACHINE LEARNING
Literary work filed: 25/07/2023. Diary No: 19402/2023-CO/L,
Certificate No. L-133491/2023
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| 2021 |
Prediction of crop diseases using machine learning
approaches
Literary work filed: 20/09/2021. Diary No: 22644/2021-CO/L,
Certificate No. L-
109577/2021
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| 3 |
Book Chapters |
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Analyzing Various Grape Diseases and
Detection Techniques by Monitoring Environmental Parameters
through IoT and Machine Learning Approaches (310124-014819),
Scopus
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| 4 |
Papers / Publications |
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A brief study on the prediction of crop
disease using machine learning approaches, DOI:
10.1109/ICCICA52458.2021.9697143. IEEE, Technically
sponsored by IEEE Bombay
Section. ISBN Information: Electronic
ISBN:978-1-6654-2040-2. Link:
https://ieeexplore.ieee.org/document/9697143, Scopus
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| Early prediction of grape disease attack using a hybrid
classifier in association with IoT sensors in Heliyon
Journal by Elsevier
HELIYON-D-23-36681. http://dx.doi.org/10.2139/ssrn.4550573 ,
Impact factor 4.0,
Science Citation Index Expanded (SCIE) and Web of Science(
WoS)
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| A brief study on the prediction of crop
disease using machine learning approaches, DOI:
10.1109/ICCICA52458.2021.9697143. IEEE, Technically
sponsored by IEEE Bombay
Section. ISBN Information: Electronic
ISBN:978-1-6654-2040-2. Link:
https://ieeexplore.ieee.org/document/9697143, Scopus
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| Analysis of Crop Diseases Using IoT and Machine Learning
Approaches Springer Paper on DOI: 10.2991/978-94-6463-
136-4_10 Scopus
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| Grape Plant Disease Classification by Analyzing Efficient
Machine Learning Algorithm International Journal
for Modern Trends in Science and Technology 2023, 9(08),
pages. 39-44.
https://doi.org/10.46501/IJMTST0908007.
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