Abstract
In today’s era where production of crops is increasing day-by-day, it is also seen that harmful disease is also growing increasingly. Some of the disease being unidentifiable is causing more harm to the production of crops. Such harm not only causes harms crops but also farmers economical income is affected. To overcome all these problems, we are providing an overall solution in which all the problems related to farming which are faced by farmer. In the proposed system, it will identify the leaf disease harming crop and providing solution along with precautions to be taken. The system will not be limited to a particular crop leaf rather than it will detect leaf disease of all crops. The system will also recommend farmer quantity of pesticides to be used for crops. It will help to increase the production of crops decreasing their economic loss.
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References
Anand, R., Veni, S., Aravinth, J.: An application of image processing techniques for detection of diseases on brinjal leaves using K-means clustering method, pp. 1–6 (2016)
Shanmugam, L., Adline, A.L.A., Aishwarya, N., Krithika, G.: Disease detection in crops using remote sensing images, pp. 112–115 (2017)
Khirade, S.D., Patil, A.B.: Plant disease detection using image processing, pp. 768–771 (2015)
Dhaware, C.G., Wanjale, K.H.: A modern approach for plant leaf disease classification which depends on leaf image processing, pp. 1–4 (2017)
Narmadha, R.P., Arulvadivu, G.: Detection and measurement of paddy leaf disease symptoms using image processing, pp. 1–4 (2017)
Pooja, V., Das, R., Kanchana, V.: Identification of plant diseases using image processing techniques, pp. 130–133 (2017)
Devaraj, A., Rathan, K., Jaahnavi, S., Indira, K.: Identification of Plant Disease using Image Processing Technique, pp. 749–753 (2019)
Prakash, R.M., Saraswathy, G.P., Ramalakshmi, G., Mangaleswari, K.H., Kaviya, T.: Detection of leaf diseases and classification using digital image processing, pp. 1–4 (2017)
Revathi, P., Hemalatha, M.: Advance computing enrichment evaluation of cotton leaf spot disease detection using Image Edge detection, pp. 1–5 (2012)
Mishra, B., Lambertm M., Nema, S., Nema, S.: Recent technologies of leaf disease detection using image processing approach—a review (2017)
Agrawal, N., Singhai, J., Agarwal, D.K.: Grape leaf disease detection and classification using multi-class support vector machine, pp. 238–244 (2017)
Sumathi, C.S., Senthil Kumar, A.V.: Neural network based plant identification using leaf characteristics Fusion. Int. J. Comput. Appl. 89(5), 31–35 (2013)
Wu, S.G., Bao, F.S., Xu, E.Y., Wang, Y., Chang, Y., Xiang, Q.: A leaf recognition algorithm for plant classification using probabilistic neural network, pp. 11–16 (2007)
Gaikwad, V.P., Musande, V.: Wheat disease detection using image processing, pp. 110–112 (2017)
Shivani, K., Gawali, H.: Plant diseases detection using image processing techniques (2016)
Padol, P.B., Sawant, S.D.: Fusion classification technique used to detect downy and powdery Mildew grape leaf diseases, pp. 298–301 (2016)
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Deshpande, R., Patidar, H. (2021). Detecting and Classifying Various Diseases in Plants. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 224. Springer, Singapore. https://doi.org/10.1007/978-981-16-1502-3_78
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DOI: https://doi.org/10.1007/978-981-16-1502-3_78
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