Wind-Compensated Directional Crop Spraying for Precise Deposition
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Solution Overview
Problem
Conventional agricultural spraying systems suffer from off-target drift and inconsistent deposition due to wind, necessitating precise, wind-aware, and selective application to maintain accuracy and reduce environmental impact.
Innovation Solution
A system utilizing photometric surveillance and drones to detect crop stress, disease, and weed infestations, coupled with a ground-mounted, directional sprayer that compensates for wind by adjusting aim, flow, and droplet size to ensure precise application, incorporating real-time wind monitoring and closed-loop verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional spot-application systems are used for crop spraying, then application can be performed, but off-target drift and inconsistent deposition occur when wind is present
Solution Approach 1:
The sprayer system dynamically adjusts its operation based on real-time wind conditions. The controller receives wind speed and direction data from sensors and continuously modifies spray parameters including flow rate, droplet size, and nozzle orientation to compensate for wind effects, transforming a static spraying system into an adaptive one that maintains precision despite environmental variations
Solution Approach 2:
The system changes multiple spray parameters simultaneously in response to wind conditions: droplet size is adjusted to reduce drift potential, flow rate is modified to maintain deposition accuracy, and nozzle orientation is altered to counteract wind direction. These parameter changes enable the system to maintain manufacturing precision while reducing off-target drift
2Manufacturing precision
If wind compensation is implemented to maintain spraying accuracy, then on-target deposition improves, but system complexity increases
Solution Approach 1:
The system implements a closed-loop feedback mechanism where wind sensors continuously monitor environmental conditions and feed this data to a controller that adjusts spray parameters in real-time. This feedback loop enables automatic wind compensation without requiring complex manual intervention, as the system self-regulates based on sensor input
Solution Approach 2:
The patent replaces complex mechanical wind compensation mechanisms with an electronically controlled system. Instead of using mechanical structures to physically counteract wind, the system uses electronic sensors, a controller, and electronically adjustable spray parameters to achieve wind compensation, reducing mechanical complexity while maintaining or improving precision
3Loss of substance
If selective application to distinct sub-areas is implemented, then resource efficiency improves, but measurement and detection difficulty increases
Solution Approach 1:
The system uses photometric sensors to create a digital representation or map of crop conditions across the field. This optical copy of the crop state allows the controller to identify and target specific sub-areas requiring treatment, enabling selective application without physically inspecting each plant. The photometric data serves as a surrogate for direct measurement, simplifying the detection process
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively limits spray drift and improves on-target deposition by dynamically adjusting application parameters based on wind conditions, ensuring efficient use of resources and environmental safety.
Implementation Method 1
A reflective-type photoelectric sensor detects light beams that are reflected by a target
Implementation Method 2
Photoelectric sensors are high-powered sensors that emit light beams to detect targets with a certain reflectivity or quantity of interrupted light
Implementation Method 3
Wind sensing may take forms of turbine anemometry, LiDAR wind profiling, or high-resolution forecast/gridded wind products
Implementation Method 4
An advection model is a computer simulation that calculates and predicts the movement of a substance or quantity as it is transported by the bulk motion of a fluid, like air or water
Data Source
AI summary
A system and method combines photometric crop surveillance with a ground-mounted directional, variable-flow sprayer that compensates for wind to enable selective, per-patch application of water, fertilizer, or crop-protection products. Photometric imagery is processed to produce georeferenced treatment targets and recommended application quantities. Wind-field estimations and local wind-sensing are used to compute aim offsets, droplet size, and flow/dwell and shielding parameters that compensate for advection and turbulence. The system commands a sprayer with aimable nozzles and proportional flow control with per-target, wind-compensated parameters to selectively treat sub-areas at different doses, while minimizing drift. Follow-up photometric verification and logged wind telemetry enable closed-loop learning of drift/advection models.