Smart farming
A method for managing an irrigation system by generating a multi-dimensional model of an environment of the irrigation system; determining irrigation system control options based on the model, a current state of the irrigation system and the environment of the irrigation system; analyzing water spray pattern, wind speed and weather parameters, and beamforming water spray to reach edges of the spray pattern to water a predetermined area; with a drone, inspecting plants or crops for a problem; and controlling the irrigation system to respond to the problem.
1. A method for managing an irrigation system, the method comprising:
generating a multi-dimensional model of an environment of the irrigation system;
determining irrigation system control options based on the model, a current state of the irrigation system and the environment of the irrigation system;
analyzing a spray pattern of a water spray, a wind speed and weather parameters, and beamforming the water spray pattern to water a predetermined area;
with a drone, inspecting plants or crops for a problem; and
controlling the irrigation system to respond to the problem.
2. The method of claim 1 , comprising moving the drone in a field.
3. The method of claim 1 , comprising applying machine learning to dispense a solution or liquid to the plants or crops.
4. The method of claim 1 , comprising dispensing a solution or liquid to the plants or crops.
5. The method of claim 1 , comprising identifying a weed region and depositing a weed chemical to the weed region.
6. The method of claim 1 , comprising identifying the crops and collecting the crops with the drone.
7. The method of claim 6 , wherein the drone is an autonomous drone.
8. The method of claim 1 , comprising using artificial intelligence to identify insects, weeds, and diseased plants and applying a treatment to the identified insects, weeds, and diseased plants.
9. The method of claim 1 , comprising tracking crop origin and transit of each crop using a blockchain.
10. The method of claim 1 , comprising applying computer vision to detect the plants, the crops, insects, and leaves.
11. A system, comprising
a frame,
cameras and position sensors attached to the frame to capture field data and to detect insects, leaves, or crops in a field, and
a processor with code to:
generating a multi-dimensional model of an environment of the irrigation system;
determining irrigation system control options based on the model, a current state of the irrigation system and the environment of the irrigation system;
analyzing a spray pattern of a water spray, a wind speed and weather parameters, and beamforming the water spray to reach edges of the spray pattern to water a predetermined area;
with the frame, inspecting plants or crops for a problem; and
controlling the irrigation system to respond to the problem.
12. A method for managing an irrigation system, comprising:
generating a multi-dimensional model of an environment of the irrigation system;
determining irrigation system control options based on the model, a current state of the irrigation system and the environment of the irrigation system;
analyzing a spray pattern of a water spray, a wind speed and weather parameters, and beamforming the water spray to reach edges of the spray pattern to water a predetermined area;
with a drone, inspecting plants or crops for a problem; and
controlling the irrigation system to respond to the problem.
13. The method of claim 1 , comprising analyzing aerial images of a field.
14. The method of claim 1 , comprising applying a liquid microbial solution to help the plants absorb fertilizer.
15. The method of claim 1 , comprising applying artificial intelligence to identify insects, weeds, and diseases.
16. A system, comprising
a computer to generate a three-dimensional (3D) model of an environment of the irrigation system and generate a 3D drone path; and
a drone including:
a frame,
valves attached to the frame to dispense a liquid to a field;
cameras and position sensors to capture field data to form a model of the field, and
a processor with code to:
generating a multi-dimensional model of an environment of the irrigation system;
determining irrigation system control options based on the model, a current state of the irrigation system and the environment of the irrigation system;
analyzing a spray pattern of a water spray, a wind speed and weather parameters, and beamforming the edges of the spray pattern to water a predetermined area;
with drone, inspecting plants or crops for a problem; and
controlling the irrigation system to respond to the problem.