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)
Weed is a major problem in crop products, affecting the crop yield as well as the quality of gathered yield. Weeds contend with India's main crop for soil nutrients (NPK) worth Rs 5,000 crores per time. The value of total crop losses due to weeds is around. 10,000 crores (Rao, 2000). Weed control is one of the most delicate tasks in crop product husbandry, counting for a considerable share of the cost of agrarian products. There are numerous styles for weed operation, but out of those styles, chemical styles are the most popular. These styles are dangerous for the terrain as well as for mortal health. To insure food security and sustainable development of husbandry, it's critically important to develop chemical and pollution-free agrarian products. This study has been carried out to know the weed-controlling ways used by different experimenters to be acclimated to agrarian work.
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"AUTOMATIC WEED DETECTION AND CUTTING USING ML AND IoT", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f246-f251, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304524.pdf
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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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