Agritech Revolution: Smart farming through IoT and Machine Learning

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Agritech Revolution: Smart farming through IoT and Machine Learning

Sakshi Shinde, Prajakta Randhir , Pramodini Sarvagod, Pratiksha Survase

Department of Computer , ZCOER

Abstract - A Smart Agriculture System that utilizes IoT and Machine Learning to boost crop yields and optimize resource management. By deploying IoT sensors to monitor soil moisture, temperature, and humidity, the system enables real-time data collection. Machine learning algorithms analyze this data to predict crop diseases, facilitating timely interventions. An automated irrigation control system adjusts water supply based on soil moisture and weather forecasts, enhancing water efficiency. Overall, the system improves productivity while promoting sustainable farming and contributing to food security and environmental conservation.

Key Words: Smart Agriculture, Internet of Things (IoT), Machine Learning (ML), Crop Yield Enhancement, Crop Disease Prediction, Sensor, Resource Optimization.

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