University of California, Riverside researchers described a mobile system for estimating soil moisture across an orchard at tree-level resolution. The robot measures soil electrical conductivity as it moves, while readings from stationary buried moisture sensors anchor a statistical model of the soil water distribution. The research was carried out at the university’s citrus research station.
Because conductivity also varies with soil texture and salts, the fixed measurements are essential for interpreting the mobile readings as water-content estimates. The researchers said the resulting maps could eventually support more selective irrigation and reduce unnecessary water application. They have filed a patent related to sensor interaction, while testing with commercial growers remained a future step at the publication date.
