For a decade, agtech got very good at measuring everything except the crop. That's why growers and agronomists are stuck acting on ambiguity — over-treat and eat the cost, or under-treat and eat the loss. Heat, drought, nutrient stress, and early disease all look identical in a reflectance signal. The fix isn't a smarter algorithm on the same data. It's a different signal: measure how the crop itself is responding — its physiology — and the picture stops being a guess and becomes a diagnosis. So we mapped 161 crop-health companies across North America to see who actually does this. Only 4 measure the crop directly. And of the 54 platforms that stack the most sensors, not one includes a physiology signal. That gap is the whole reason CredoSense exists. #agtech #crophealth #precisionag #agronomy #CEA
161 crop-health companies in North America. Only 4 measure the crop itself. The other 157 measure its surroundings or its surface — soil probes, weather stations, satellites, NDVI, drone imagery, leaf scanners. All useful. All proxies. And a proxy only moves after the crop has already been under stress for days. We mapped the whole landscape to check a hunch, and the tell was sharper than expected: of the 54 "multi-layer" platforms that stack the most sensors, not one includes a direct crop-physiology signal. The industry built an entire category on measuring everything except the crop's own response. That's why growers and agronomists are stuck acting on ambiguity — over-treat and eat the cost, or under-treat and eat the loss. Heat, drought, nutrient stress, and early disease all look identical in a reflectance signal. I wrote up what the data shows, why this is a sensing limitation and not a software one, and where the open category sits — indoor and outdoor alike. Full piece below. Curious where you land, especially if you grow, advise, or invest in this space. #agtech #crophealth #precisionag #CEA #agronomy