• Kirti Rawal
• Srinivas Talasila
• Gaurav Sethi

Agriculture is the science and art of cultivating plants and livestock. Several studies show that the quality of agricultural products can be decreased by some causes. Plant diseases are one of the most important factors in this quality. For an agriculture-dependent state, early and precise identification of the diseased plants is a priority. Several works are presented in the area of plant leaf disease identification by using deep learning. But still, this field is challenging to the researches to improve the better accuracy and efficiency. This survey will help researches to identify the diseases in plants by using the latest methodologies. And also our survey helps to recognize key problems and shortcomings in this field of research.

"A SURVEY ON LATEST METHODOLOGIES FOR THE IDENTIFICATION OF PLANT LEAF DISEASES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1406-1410, April-2019, Available :http://www.jetir.org/papers/JETIREL06210.pdf

"A SURVEY ON LATEST METHODOLOGIES FOR THE IDENTIFICATION OF PLANT LEAF DISEASES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1406-1410, April-2019, Available at : http://www.jetir.org/papers/JETIREL06210.pdf