Smart Precision Agriculture using IoT Data Analytics

Abstract

Smart farming based on IoT technologies enables farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to predicting which crop is best in which weather condition using NPK levels, enabling efficient utilization of resources such as water, electricity, etc.

By using Data Analytics, farmers can make informed decisions about when and how to irrigate, and fertilize remotely, leading to improved crop performance and reduced input costs. In addition, analytics can be used to optimize irrigation schedules, identify, and diagnose problems early, and predict potential issues before they even occur.

Overall, the use of IoT and analytics in precision farming can help to increase crop yields, reduce water, and unnecessary chemical inputs, and improve the sustainability, profitability, and conversation of the land resources of agricultural operations.