AI-Driven Optical Imaging and Communication Framework for Smart Irrigation and Yield Prediction
Аннотация
The problem of water shortage and changes in the climate have been challenging the world agriculture. In this paper, an optical imaging and communication platform is proposed as an intelligent irrigation and yield forecasting platform based on AI. Its framework incorporates the use of multispectral and thermal imaging, photonic communication channels, and machine learning models that use sensor fusion with IoT to detect plant stress, irrigation schedule, and productivity. The framework can be used to realize realtime monitoring and support decision making through the use of UAV-mounted optical sensors and AI-based image classification. Experimental validation shows that efficiency of irrigation, prediction accuracy of yield and communication reliability in the conventional systems is significantly higher than experimental validation of this system. This paper evolves the contribution of the AI and photonic technologies as far as sustainable smart farming is concerned.