Smart Farming using latest efficient Devices, Robotics, Intelligent Automation and IOT with Artificial Intelligence

Abstract

Advancement in latest technologies and integration of embedded hardware with Internet of Things using latest sensors, efficient devices (Raspberry Pi, ESP32); Machine Learning with Artificial Intelligence technologies has emerged as a robust solution for efficient resource management in smart agriculture environment.  In smart agriculture for precise monitoring and prompt response real-time data is required from the agriculture site. This is possible by using sensors with IOT for collecting the real-time data for the parameters like soil moisture, temperature, humidity and health of the crop. This real-time data collected from the field act as a input for the AI algorithms using ML or DL. The analyzed data will be used as important information to the farmers for taking the necessary steps for efficient resource management. This predictive modeling helps farmers to predict the patterns for crop growth and pest infestation. By using historical data and machine learning techniques, the AI system can be used for optimized resource utilization like water usage, requirement of fertilizer and pest control. By utilizing the real-time data analytics and intelligent decision-making, smart agriculture systems can drive efficiency, sustainability, and resilience in the face of evolving environmental challenges.