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@article{160043,
        author = {Harisha S B and Surya V Bhat and Sumedha S Hegde and Deeksha A S and Suhas D R},
        title = {Leaf disease detection & Soil Nutrients Deficiency recognition system.},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {901-907},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160043},
        abstract = {A Plant diseases and soil nutrient deficiencies are major issues affecting the productivity and yield of crops. The early detection of these problems can help farmers take necessary measures to prevent further damage. This paper proposes a system for plant disease detection and soil nutrient deficiency recognition using VGG19, Python IDLE, Arduino Uno, temperature sensor, pH sensor, soil moisture sensor, and a GSM module for real-time information recording and transmission. The proposed system uses machine learning algorithms to analyze images of plants and provide early warning signals for diseases, and it also monitors soil conditions to detect nutrient deficiencies. The proposed system provides a cost-effective and efficient solution for farmers to enhance crop yields and productivity.},
        keywords = {Arduino, PH sensor, moisture sensors, temperature and humidity sensor, GSM module},
        month = {},
        }