SMART AGRICULTURE: ENHANCING CROP YIELD PREDICTION AND FARM MANAGEMENT WITH AI- DRIVEN IOT SYSTEMS

Abstract

The goal of Smart Agriculture: Improving Crop Yield Forecasting and Farm Administration with AI-Driven Internet of Things (IoT) Systems is to use Artificial Intelligence (AI) and the IoT to transform conventional agricultural methods. Using IoT sensors, this method gathers immediate information on vital parameters such as the condition of crops, climate, humidity, and soil moisture levels. Algorithms based on AI then evaluate the information to produce forecasting information. Precise agricultural output forecasts, efficient utilization of resources, and early identification of possible problems like insect infestations or water stress are all made possible by the system. The AI-driven IoT solution optimizes irrigation, fertilizer, and pest management while automating agricultural activities to increase overall output and decrease wasteful utilization of resources. Ultimately, the current structure for intelligent farming aims to support sustainable agricultural methods, boost crop yields, and enhance farmer decision-making, all of which will contribute to environmental preservation and food security worldwide.