LandScan转发了
Soil data needs to be obtained rapidly, digitally, and objectively so that it can be repeatable and transferable. Without this, soil data is not scalable or appropriate for modeling, advanced analytics, and enabling modern engineering solutions. The problem with soil sampling and lab analysis is that they don’t produce the proper or accurate reference to adequately baseline, monitor, and drive decision-support activities in agriculture. A recent study (https://lnkd.in/eJamszJH) reconfirms what I've observed directly over 25 years of digital soil mapping across 6 continents; that soil samples and lab data (in this case soil carbon) is not a reliable 'datum' and does not represent what roots and the overall microbiome experience in the soil environment. One study author's takeaway? “Researchers found that soil carbon measurements for the same soil sample varied by as much as double across different labs.” Let that sink in. This author (Jocelyn Lavallee) wrote an article about the study (https://lnkd.in/eptiu5pW) and does a good job of discussing and offering suggestions to improve the current paradigm of taking soil samples and using a lab. In my opinion though, this misses the bigger problems with this paradigm. I've written the article in this post that expands on these issues and offers the solution. #digitaltwins #soilhealth #regenerativeagriculture #sustainableagriculture #agtech