20240013124. AGRICULTURAL SYSTEM CONTROL BASED ON PROGRESSIVE TIME HORIZON MODEL OUTPUT simplified abstract (Deere & Company)
Contents
AGRICULTURAL SYSTEM CONTROL BASED ON PROGRESSIVE TIME HORIZON MODEL OUTPUT
Organization Name
Inventor(s)
Nathan R. Vandike of Geneseo IL (US)
Bhanu Kiran Reddy Palla of Bettendorf IA (US)
AGRICULTURAL SYSTEM CONTROL BASED ON PROGRESSIVE TIME HORIZON MODEL OUTPUT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240013124 titled 'AGRICULTURAL SYSTEM CONTROL BASED ON PROGRESSIVE TIME HORIZON MODEL OUTPUT
Simplified Explanation
The abstract of this patent application describes a predictive engine that uses a set of optimization criteria and a time horizon selection input to generate predictions for different time horizons in an agricultural system. The engine has a user interface that allows users to access different time horizon models and adjust operational parameters to improve the system's operation.
- The patent describes a predictive engine for agricultural systems.
- The engine takes optimization criteria and a time horizon selection input as inputs.
- It applies these inputs to a time horizon model to generate predictions.
- The engine has a user interface with actuable elements to access different time horizon models.
- Operational parameters can be adjusted to improve the system's operation.
- The engine provides an output indicative of a control signal to enhance the agricultural system's performance.
Potential applications of this technology:
- Precision agriculture: The predictive engine can be used to optimize various aspects of agricultural operations, such as irrigation, fertilization, and pest control, based on different time horizons.
- Crop management: Farmers can use the engine to make informed decisions about planting, harvesting, and crop rotation based on predictions for different time horizons.
- Resource allocation: The engine can help optimize the allocation of resources, such as labor, machinery, and inputs, to maximize productivity and minimize waste.
Problems solved by this technology:
- Uncertainty in decision-making: The predictive engine provides farmers with accurate predictions for different time horizons, helping them make informed decisions and reduce uncertainty in their agricultural operations.
- Inefficient resource utilization: By optimizing resource allocation based on different time horizons, the engine helps farmers utilize their resources more efficiently, leading to improved productivity and cost savings.
- Suboptimal system performance: The engine's output, in the form of a control signal, can be used to improve the operation of the agricultural system, addressing any performance issues and maximizing its overall performance.
Benefits of this technology:
- Increased productivity: By providing accurate predictions and optimizing resource allocation, the technology can help farmers increase their agricultural productivity.
- Cost savings: Efficient resource utilization and optimized decision-making can lead to cost savings in terms of labor, inputs, and other resources.
- Improved sustainability: The technology enables farmers to optimize their agricultural practices, reducing waste and minimizing environmental impact.
Original Abstract Submitted
a predictive engine obtains as inputs a set of optimization criteria and a time horizon selection input and applies those inputs to a time horizon model in a variable time horizon prediction engine. a user interface is generated that provides actuatable elements that can be actuated in order to access different time horizon models in the variable time horizon prediction engine. operational parameters can be adjusted so that the variable time horizon prediction engine provides an output indicative of a control signal that can be used to improve operation of the agricultural system over the selected time horizon.
