Abstract: The advent of smart agriculture systems has revolutionized the agricultural industry by leveraging advanced technologies to enhance productivity and efficiency. This research paper presents a smart agriculture monitoring and control system that utilizes image processing techniques for effective crop management. The system aims to enable farmers to monitor crop health, predict suitable crop, and optimize irrigation practices in real-time through image analysis. A comprehensive literature review explores the existing smart agriculture systems and the utilization of image processing techniques in agricultural applications.

The block diagram section outlines the system architecture and the various stages involved in the image processing pipeline, including image acquisition, pre-processing, crop health monitoring, and irrigation optimization. The implementation section presents the design steps required for the system. The data collection process and the training of algorithms are described, highlighting the steps taken to ensure accurate and reliable analysis. The results and discussion section evaluates the performance of the system, utilizing appropriate evaluation metrics and presenting analysis results.

Keywords: Image processing, Data collection, Data analysis, Raspberry Pi .

| DOI: 10.17148/IARJSET.2023.10743