Jasmine Crop Cultivation using IoT Integrated with Datamining
Keywords:
Jasmine Crop Cultivation, Smart Agriculture, Internet of Things (IoT), Data Mining, Precision Agriculture, Smart Farming, Sensor-Based Monitoring, Irrigation Optimization, Disease Detection, Crop Yield Prediction, Agricultural Data Analytics, Resource Optimization, Sustainable Agriculture, Classification Algorithms, Real-Time Monitoring.Abstract
In agriculture Jasmine plant cultivation plays precise role in environment and to achieve good quality of flowers, yield of flowers it suitable for precision solutions plant farming. In olden days cultivation of Jasimine plants on monitoring in real time, lacking result in resources utilization is inefficient and productivity reduction. Maintaining these conditions is challenging and also leads to not consistent yield. Now a days real time monitoring and automation using trends IOT becomes emerging technology and it reduce the interference of human, however large volume of data is generated when compared traditional.
This paper proposes of Jasmine crops with smart farming IOT enabled integrated with datamining techniques. The data collects from sensors and applies classification algorithm to predict optimize irrigation, detect diseases , reduces usage of water, enhanced productivity , support data driven and decision making in farming of Jasmine crops.