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"Novel concept of grapes and plant diseases using CNN based analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.562-567, February-2021, Available :http://www.jetir.org/papers/JETIR2102063.pdf

• Kolase Sachin R
• Atul Gaur

A standard based self-loader structure using insights of k-proposes is composed and executed to see strong leaves from debilitated leaves. The use depends upon the depicting of the ailment on the leaf or perceive Black Rot , Leaf Blight and Healthy Leaf. Assessments are performed by straightforwardly utilizing masking features, surface features, and their mixes to plan three models reliant on help CNN Approach classifier. Results are made using countless pictures collected from Plant Village dataset. Satisfactory standard precision regards are addressed all the considered mixes which are in like manner saw to be better than existing ones. This evaluation in like manner endeavors to locate the best performing outline of capacities with respect to leaf ailment affirmation in Soybean. The structure is appeared to beneficially choose the disease reality too. Visual assessment of leaf tests further shows the authenticity of the proposed structure for recognizing evidence, depiction, and rude awakening

Plant Diseases, Grape Diseases, CNN

"Novel concept of grapes and plant diseases using CNN based analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp562-567, February-2021, Available at : http://www.jetir.org/papers/JETIR2102063.pdf