ABSTRACT: "CROP CARE" is an online application that uses machine learning to provide personalized suggestions on crop selection, fertilizer use, and disease control. It truly transforms crop farming. Users may optimize yields and sustainability by entering their location and receiving personalized advise based on the local climate and soil characteristics. From user-uploaded photographs, its image recognition quickly detects crop diseases, providing a prompt diagnosis and treatment advice. Additionally, the website makes it easier to share illness data with specialists and Krishi Bhavan, as well as to sell to vendors. Farmers obtain competitive rates by putting suppliers to the test through manual bidding. This easily navigable tool advances food security and sustainability on a single, easily accessible platform by encouraging sustainable practices, boosting production, and strengthening resilience in agriculture.
KEYWORDS: Machine Learning, Crop Selection, Image recognition, Instant diagnosis, Resilience .
Cite:
Sreeja Rajesh, Smruthi Poojary, Sumanth Shetty, Wasif Ahmed,"CROP CARE-A WEB APPLICATION FOR CROP MANAGEMENT", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133128.
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DOI:
10.17148/IJARCCE.2024.133128
