Environmental management zone modeling and analysis
Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.
1. A method comprising: receiving, by a computing device, first information associated with an environmental management zone, wherein the first information relates to one or more of a land characteristic and a management practice, and wherein the first information comprises a soil type of the environmental management zone; receiving, by the computing device, historical weather data relating to the environmental management zone; receiving, by the computing device, real-time weather data relating to the environmental management zone; and executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data, wherein the nitrogen range comprises probabilities of nitrogen levels for one or more of a current time period and a future time period in a growing season and the growth model is used to calculate an optimum point of a nitrogen response curve, and applying nitrogen to the environmental management zone based on the probabilities of nitrogen levels and the optimum point of a nitrogen response curve, in each case, as determined by the growth model.
2. The method of claim 1 , wherein the optimum point of the nitrogen response curve is determined based upon a maximum yield per nitrogen.
3. The method of claim 1 , wherein the optimum point of the nitrogen response curve is determined based upon a maximum yield per nitrogen adjusted for an economic cost of one or more sources of nitrogen.
4. The method of claim 1 , wherein the optimum point of the nitrogen response curve is determined based upon a maximum yield per nitrogen adjusted to minimize runoff of excess nitrogen from the environmental management zone.
5. The method of claim 1 , wherein the growth model further calculates a difference between the optimum point of the nitrogen response curve and one or more of an actual current soil rate of nitrogen and a predicted current soil rate of nitrogen.
6. The method of claim 1 , further comprising storing the optimum point in an electronic data file and using the electronic data file to automate application of a nitrogen source.
7. A method comprising: receiving, by a computing device, first information associated with an environmental management zone, wherein the first information relates to one or more of a land characteristic and a management practice, and wherein the first information comprises a soil type of the environmental management zone; receiving, by the computing device, historical weather data relating to the environmental management zone; receiving, by the computing device, real-time weather data relating to the environmental management zone; generating a probability of nitrogen levels for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data for a particular time period, wherein the probability of nitrogen levels comprises a nitrogen response curve and an optimum point of the nitrogen response curve; receiving, by the computing device, second information associated with the environmental management zone, wherein the second information comprises a change to the first information; and updating the nitrogen outcome probability of the chance to have sufficient nitrogen based on the second information, and applying nitrogen to the environmental management zone based on the probabilities of nitrogen levels and the optimum point of the nitrogen response curve.
8. The method of claim 7 , wherein the optimum point of the nitrogen response curve is determined based upon a maximum yield per nitrogen.
9. The method of claim 7 , wherein the optimum point of the nitrogen response curve is determined based upon a maximum yield per nitrogen adjusted for an economic cost of one or more sources of nitrogen.
10. The method of claim 7 , wherein the optimum point of the nitrogen response curve is determined based upon a maximum yield per nitrogen adjusted to minimize runoff of excess nitrogen from the environmental management zone.
11. The method of claim 7 , wherein the nitrogen outcome probability is generated based on a growth model configured to calculate a difference between the optimum point of the nitrogen response curve and one or more of an actual current soil rate of nitrogen and a predicted current soil rate of nitrogen.
12. The method of claim 7 , wherein generating the nitrogen outcome probability for the environmental management zone comprises forecasting future weather conditions based on at least one of the real-time weather data and the historical weather data.