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@article{176521,
        author = {Prakhar Austin Mohan and Amrender Singh and Palak Bansal and Rajesh Thakur},
        title = {IoT-based Crop Recommendation System Using NPK sensor},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5347-5352},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176521},
        abstract = {Agriculture is the sector on which the survival of human beings hangs, largely because of crop yield improvement - for the sake of food security and sustainability.
Improving crop production levels is quite dependent on how fertile the soil is-that is, which levels of Nitrogen (N), Phosphorus (P), and Potassium (K) exist in the soil. The key contribution of this research is the development of a 7-in-1 NPK sensor-based IoT crop recommendation system. This system analyses the soil nutrients and provides recommendations to farmers in real-time data- driven decisions on the right crops and the required NPK fertilizers to grow them. The system utilizes an ESP8266 microcontroller in acquiring and transmitting data to the said cloud-based web application, which in turn has been developed using PHP and MySQL. This system will provide accurate information regarding the nutrient levels in the soil and will assist the operators of agricultural activities to select crops more prudently and then apply the appropriate fertilizers, thus yielding a better outcome with sustainability in farming. This research presents the design and implementation of an advanced 7-in-1 NPK sensor-based IoT Crop Recommendation System, aimed at transforming traditional agricultural practices into data-driven, precision farming solutions},
        keywords = {NPK sensor, IoT, crop recommendation system, precision agriculture, ESP8266, RS485, PHP, MySQL.},
        month = {April},
        }