AI-DRIVEN CROP GROWTH PREDICTION USING RASPBERRY PI: A MULTIMODAL EDGE-AI FRAMEWORK FOR SMART AGRICULTURE
DOI:
https://doi.org/10.48047/scm59c81Keywords:
Artificial intelligence, crop growth prediction, Internet of Things, Raspberry Pi, convolutional neural network, LSTM, multimodal fusion, edge AI, precision agriculture, smart irrigation.Abstract
The increasing demand for sustainable agricultural production has created a need for intelligent systems capable of continuously
monitoring crop and environmental conditions and supporting timely management decisions. Conventional crop monitoring primarilyrelies on manual inspection and periodic measurements, which can be labour-intensive, subjective, and unable to capture short-term variations in crop and environmental conditions
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