• Ashwini Kalyanrao Awate
• Prof. Samadhan A. Sonavane

In India, agricultural industry has a prohibited demand, so it is important to improve productivity and quality of farming. Farmer uses traditional approach like manual monitoring to get solution for the problems. But manual monitoring will not give satisfactory result all the times and they always need proper advice from experts. During literature survey for smart farming we come up with various techniques and methodologies that have been used. With the help of computational methods human efforts are decreased and better yield and quality of farming is possible to achieve. Image processing, machine learning, support vector machine (svm), artificial neural network (ANN), deep learning are different techniques used to implement smart farming. We introduce a technique which will detect and diagnose fruit diseases. Traditional system has lots of limitations and cannot give accurate results. With computational technique for fruit disease detection effective growth and improved yield of fruits is achieved. For this system we have come up with deep learning technique for fruit disease detection and diagnosis. Deep Learning is the modern and recent technique for image processing and data analysis for various domains. Deep learning is a branch of machine learning and completely based on artificial neural networks. Deep learning train models and classify data. In deep learning it skips the manual steps of extracting features of images. Deep learning is capable working with big data. Deep learning gives promising results and has large potential. Deep learning provides high accuracy as compared to other existing systems. Various literature papers have been studied to get idea about the deep learning technique and other existing systems along with their working in smart farming. This paper is all about survey of different research papers about deep learning.

Smart farming, Deep learning, artificial neural network, image processing, agriculture, survey

"Deep learning approaches for fruit disease detection and diagnosis a Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.219-224, May-2019, Available :http://www.jetir.org/papers/JETIR1905035.pdf

"Deep learning approaches for fruit disease detection and diagnosis a Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp219-224, May-2019, Available at : http://www.jetir.org/papers/JETIR1905035.pdf