Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cotton Plant Diseases Detection Using IP and ML

Cotton Plant Diseases Detection Using IP and ML

Kulkarni, Narayan
Barshe Patil, Nilesh

Paperback

Technology & Engineering

ISBN10: 6209981712
ISBN13: 9786209981715
Publisher: LAP Lambert Academic Publishing
Published: May 8 2026
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: English
Agriculture plays a vital role in India's economy, supporting a large population, especially small and marginal farmers in Maharashtra who depend heavily on cotton cultivation for their livelihood. Cotton, a major commercial crop, significantly contributes to global textile production but is highly vulnerable to diseases caused by pests, viruses, and environmental factors. These challenges often lead to severe economic losses for poor farmers. This book presents an intelligent and systematic framework for cotton disease detection using image processing and machine learning techniques. The proposed system enables early diagnosis, targeted treatment, and reduced pesticide usage, promoting sustainable farming. It also incorporates explainable AI and environmental data to improve accuracy. This work reflects the authors' dedicated efforts to provide practical, technology-driven solutions for enhancing productivity and supporting vulnerable farming communities.

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