Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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 our life, agriculture is essential. We created a system that benefits farmers since we are aware of how much time and work goes into the chores required in the sector of agriculture. Agribot is a machine created specifically to assist farmers and effectively carry out numerous activities in the field. Since farming is one of the most common jobs in India, automating agricultural-related operations is crucial to reducing the need for human labour. This bot includes functions including automatically detecting diseases, the information from which is transferred to the appropriate mobile device and displayed via an interactive user interface. The bot makes advantage of deep learning. Agriculture is fundamental to our way of life. We designed a system that helps farmers because we are aware of the time and effort required for the tasks necessary in the agricultural industry. Agribot is a device designed specifically to help farmers and efficiently complete various tasks in the field. Automation of agricultural related operations is essential to lowering the demand for human labour because farming is one of the most prevalent jobs in India. Automatic disease detection is one of the bot's features, and the data is sent to the relevant mobile device and shown via an interactive user interface. The bot uses deep learning to its advantage.
Keywords:
a farmer, agriculture, CNN, and disease, Machine learning, robot.
Cite Article:
"Leaf disease detection and Smart spraying robot using Artificial Intelligence ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.81 - 85, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306015.pdf
Downloads:
000205080
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator