LEVERAGING ARTIFICIAL INTELLIGENCE FOR EARLY DETECTION OF PLANT DISEASES
Teesha Ahuja
Abstract
We are all aware that India is the most important agricultural country in the world. A wide variety of crops are grown there, and frequently, these crops are destroyed by diseases that settle on the leaves of the plants. To address this problem, we have proposed a model that will detect diseases on the leaves of plants and spray the necessary medication for them.
References
- Kulkarni, Anand & K, Ashwin. (2012). Applying image processing technique to detect plant diseases. International Journal of Modern Engineering Research (IJMER) 2. 3661-3664.
- Vishnu S, A. Ranjith Ram (2015), Plant Disease Detection Using Leaf Pattern: A Review, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 6, June 2015.
- Pawan P. Warne, Dr S. R. Ganorkar (2015), Detection of Diseases on Cotton Leaves Using K Mean Clustering Method, International Research Journal of Engineering and Technology (IRJET), Vol 2, Issue 4.
- Pranjali. B. Padol, Anjali A. Yadav (2016), SVM Classifier based Grape Leaf Disease Detection, 2016 Conference on Advances in Signal Processing (CASP), doi: 10.1109/casp.2016.7746160
- N. Krithika, Dr. A. Grace Selvarani (2017), An Individual Grape Leaf Disease Identification Using Leaf Skeletons and KNN Classification, 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), doi: 10.1109/ICIIECS.2017.8275951
- Jianping Fan, Ning Zhou, Jinye Peng, Ling Gao., (2015), Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification. IEEE Transactions on Image Processing, Doi: 10.1109/ICOSC.2015.7050838
- Muammwe Turkoglu, D. Hanbay, (2019), Plant Recognition system based on Deep Features and Color-LBP method, 2019 27th Signal Processing and Communications Applications Conference (SIU) doi: DOI:10.1109/SIU.2019.8806592
Back