• D NIVETHA
• PAVITHRA KAILASH
• R POONGUZHALI
• A VIJAYABHANU

Abstract - Rice is considered to be a vital crop growing in India. The environmental changes caused due to pollution, global warming, etc are affecting crops to a great extent. Thus to overcome this problem, there is a need for the development of system that identifies the healthy and diseased paddy crops from the given image dataset. The system is fed with image dataset of paddy leaves. But the main problem of implementing this system is that very less amount of images are available. To increase the number of images and to provide good accuracy, data augmentation is used. Data augmentation increases the size of the dataset by using methods like flip, rotate and translate. These images can then be processed by methods like segmentation and Machine Learning algorithms.

Data Augmentation, Data set, Machine Learning

"Data Augmentation for Crop Condition Assessment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.170-173, May-2019, Available :http://www.jetir.org/papers/JETIR1905A30.pdf

"Data Augmentation for Crop Condition Assessment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp170-173, May-2019, Available at : http://www.jetir.org/papers/JETIR1905A30.pdf