Artificial Intelligence in Real-Time Evaluating Electrical Conductivity of Greenhouse Substrate
To support decision-making in precision management of greenhouse cultivation, a portable electrical conductivity detector was developed to real-time measure substrate in greenhouse. It mainly included three units, probes, controlling and monitoring unit, and data processing and displaying unit. The probes were designed based on Four-electrode method. The controlling and monitoring unit provided a constant current into substrate and then measured the voltage drop between two points of substrate. Performance experiments under different conditions were conducted. The result revealed that, when water content was lower than 50%, the substrate electrical conductivity would be affected by both salinity and moisture in substrate. Therefore it was necessary to consider the factor of moisture when evaluating substrate property by substrate electrical conductivity. When water content was higher than 50%, substrate electrical conductivity was mainly affected by substrate salinity, and the effect of moisture could be ignored.
Key wordsgreenhouse substrate electrical conductivity four-electrode method digital agriculture
- Naiqian Zhang, Kyeong-Hwan Lee, et al. Simultaneous Measurement of Soil Water content and Method Salinity Using a Frequency-Response, 2004 CIGR International Conference. 11–14 October 2004, Beijing, China.Google Scholar
- Kitchen N R, Sudduth K A, Drummond S T. Soil electrical conductivity as a crop productivity measure for clay pan soils[J]. J Prod Agric, 1999, 12: 607–617.Google Scholar
- Sun Yurui, Wang Maohua. A Mathematical Model and Its Experimental Study for a Kind of Measurement Method of Soil Electric Conductivity. Transactions of the CSAE (in Chinese), 2001, 17(2): 20–2.Google Scholar