US 12,405,213 B2
Rapid estimation of a soil-water retention curve using visible-near infrared spectroscopy
Jingyi Huang, Madison, WI (US); Zampela Pittaki-Chrysodonta, Madison, WI (US); and Alfred Hartemink, Madison, WI (US)
Assigned to WISCONSIN ALUMNI RESEARCH FOUNDATION, Madison, WI (US)
Filed by Wisconsin Alumni Research Foundation, Madison, WI (US)
Filed on Jun. 6, 2022, as Appl. No. 17/833,543.
Claims priority of provisional application 63/196,830, filed on Jun. 4, 2021.
Prior Publication US 2022/0397523 A1, Dec. 15, 2022
Int. Cl. G01N 21/35 (2014.01); G01N 21/3554 (2014.01); G01N 21/359 (2014.01); G01N 33/24 (2006.01)
CPC G01N 21/3554 (2013.01) [G01N 21/359 (2013.01); G01N 33/246 (2013.01); G01N 33/245 (2024.05)] 18 Claims
OG exemplary drawing
 
1. A method of characterizing soil comprising:
receiving, with one or more computing devices, data for a soil sample comprising visible-near infrared (vis-NIR) spectroscopy data;
determining a first model parameter for a Campbell soil-water retention function and a second model parameter for the Campbell soil-water retention function using a model calibrated on vis-NIR spectroscopy data from a plurality of soil samples, wherein the first model parameter and the second model parameter are determined by the model using a common input comprising the received vis-NIR spectroscopy data; and
characterizing the soil sample based on the soil-water retention function
wherein the first model parameter provides an anchor value for the soil-water retention
curve, wherein the second model parameter is an exponential shape factor; and
wherein the anchor value corresponds to a water potential of potential force (pF) at least between 3.8 and 4.2, inclusive.