INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
People's lives and economic wellbeing are influenced by agriculture. In terms of GDP, it employs a large number of people and accounts for a significant portion of it. Crop losses are caused in large part by diseases, which are common and unavoidable. Agricultural yields are reduced each year due to poor disease control, which can have a significant impact on the quality, quantity, and productivity of the crop. There is a great deal of value in detecting leaf disease using an automated method such as image processing. Convolutional Neural Networks (CNNs) are the most commonly used deep learning classification technique.
An artificial intelligence (AI) classification system that uses a neural network is referred to as a neural network classification system (NNCCS)
Keywords:
CNN, Leaf Disease , Classification, Deep learning , Remedies.
Cite Article:
"Leaf Disease Detection and Remedy Recommendation Using CNN ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b671-b679, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305188.pdf
Downloads:
000118753
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn