Development of real time smart electronic nose system for monitoring organic abundance in soil

• Main Authors: U. Dorji, T. Pobkrut, S. Siyang, T. Chaiyasit, P. Choden, T. Kerdcharoen
• Other Authors: Mahidol University
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: Computer Science; Engineering
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/42258

© 2017 IEEE. Climate change due to global warming has incredibly contributed potential risk to the agricultural farming system. The collective responsibility to advocate food security and sustaining the farming system is a key issue. While the conventional farming techniques have combated to meet global food demands, however sustaining food security to provide access to safe and nutritious food is at probable risk to the growing population. At present, people are concerned more on the importance of diet and health since easily available inorganic farm products give threats to people's health by triggering unsolicited diseases. Organic farming is an approach that would guarantee environmental friendly, sustainable and safe nutritious foods with low impact to the soil biodiversity. One of the main challenging dispute of organic farming is the low yield as compared to rapid inorganic farming methods. To increase organic farm produce yield, monitoring soil organic abundance plays a key role in organic farming system. To uncover this issue, a real time smart electronic system was designed to monitor soil organic richness online in the farm to support farmers in making informed decision. The system was capable of archiving real time soil data based on soil organic volatile. Software application were integrated to analyze soil data and display soil information online including weather parameters in line with the soil status. Base station installed in the farm transmitted soil data to the control station for analysis and uploading data into a cloud database for end user's information. Data were analyzed by principal component analysis to grade organic abundance in soil and linear discriminate analysis to segregate soil volatile variation.