The views, information, or opinions expressed in the Industry News RSS feed belong solely to the author and do not necessarily represent those of IDEX Health & Science and its employees.
Article obtained from Photonics RSS Feed.
Digital cameras and machine learning technology can provide a cost-effective method of monitoring soil moisture, according to new work from the University of South Australia and Middle Technical University (Iraq). The technology aims to address current difficulties with sensing soil moisture, such as buried sensors that are vulnerable to salts in the substrate and require specialized hardware or connections, and expensive thermal imaging cameras that can be susceptible to climatic conditions such as sunlight intensity, fog, and clouds.
The team’s approach uses a standard RGB digital camera to accurately monitor soil moisture under a wide range of conditions, with help from machine learning software.
Image showing the system…