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)
In this project, a weed identification framework for cotton plants is proposed using the cutting-edge machine learning algorithm YOLOv5. By precisely diagnosing weeds in real-time, the goal is to improve weed control in cotton fields. The method that was created makes use of a library of annotated photos that include several weed species that are frequently seen in cotton plantations. With the help of this dataset, which was used to train the YOLOv5 model, weeds may be located and identified with good recall and precision. The suggested framework offers an economical and effective method for weed identification in cotton plants, which can help with herbicide application optimization and minimize crop losses.
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"WEED DETECTION IN COTTON", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.g741-g757, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306647.pdf
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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
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