Digitizing/Calibrating the Human Sensor.

Sensor based nutrient management relies on indirect measures that are digitized. The human component and the human experience has not been digitized and or captured for later use in terms of agricultural inputs. The human experience includes color sensing, detectable nutrient deficiencies, presence of weeds, plant spacing, plant homogeneity, crop vigor, crop competition, and others. Furthermore, the human experience encumbers instantaneous estimates of risk when it comes to applying or not applying a given nutrient and/or input. Present day sensors are no match for the human experience and the human computer that can integrate scientific knowledge with applied logic. In the developing world, where the vast majority of all tasks are accomplished by hand, making decisions plant by plant is not only possible but necessary.