This project presents the design and development of an electronic nose (e-nose) for detecting organic content in soil using a sensor array. An artificial intelligence (AI) algorithm was developed to analyze and fuse data from multiple sensors, enabling accurate detection of organic compounds. The prototype was field-tested and validated, demonstrating its potential for real-time monitoring of soil health. The results highlight the effectiveness of combining e-nose technology with AI for environmental and agricultural applications.
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