Grape dataset: A dataset for disease prediction and classification for machine learning applications through environmental parameters

Author:

Gawande ApekshaORCID,Sherekar Swati

Publisher

Elsevier BV

Reference7 articles.

1. Analysis of crop diseases using IoT and machine learning approaches;Gawande,2023

2. A brief study on the prediction of crop disease using machine learning approaches;Gawande,2021

3. A. Gawande, S. Sherekar, R. Gawande, Early prediction of grape disease attack using a hybrid classifier in association with IoT sensors. Available at SSRN: https://ssrn.com/abstract=4550573 or 10.2139/ssrn.4550573.

4. S. Patil, S. Thorat, (2016). Early detection of grapes diseases using machine learning and IoT. 1-5. 10.1109/CCIP.2016.7802887.

5. Grape Plant Disease Classification by Analyzing Efficient Machine Learning Algorithm;Gawande;Int. J. Mod. Trends Sci. Technol.,2023

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