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@article{188613,
        author = {Vedant Pawar and Vaishnavi Pokale and Prathmesh Wavare and Nabeel Shaikh and Prof. Vishal Nayakwadi},
        title = {Smart Agro Analyser : A Soil Quality Assessment and Crop Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2768-2773},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188613},
        abstract = {This paper presents the development of a portable soil quality analyser designed for rapid on-site assessment of soil parameters critical to agricultural productivity. The device incorporates a temperature sensor, colour sensor, and moisture sensor, interfaced with an ESP32 microcontroller, which serves as the core processing unit. An LCD display provides users with immediate, concise readings of the measured soil properties. The analyser operates on battery power, ensuring functionality in remote fields lacking a constant power supply, thus enhancing its portability and convenience for farmers.
A unique feature of the analyser is its ability to generate a specific code displayed on the screen. When this code is entered into a companion web application, users receive detailed information about the soil type, location-based crop recommendations tailored to regional weather conditions, and suggestions for appropriate fertilizers and pesticides. The real-time data analysis is facilitated by Python-based software, delivering immediate insights into soil quality.
Key advantages of this system include affordability, making advanced soil analysis accessible to a wider range of users; portability, allowing for ease of transport and use in various field locations; comprehensive data analysis through the integration of hardware and software components; and user-friendliness, ensuring that users with minimal technical expertise can effectively operate the device. This innovative solution aims to support sustainable farming practices by empowering farmers with timely and accurate soil data, ultimately enhancing crop yield and resource management.},
        keywords = {Agriculture, ESP32, soil analysis, soil  sensors, sustainable farming, LCD display},
        month = {December},
        }