Semiochemical Dose Planning for Homogeneous Crop Vapour Clouds
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Solution Overview
Problem
Current pest control methods using semiochemicals are complex and costly, and there is a need for a more efficient and effective application scheme to manage harmful organisms in agricultural fields.
Innovation Solution
A computer-implemented method generates an application scheme for semiochemical treatment using a mobile treatment device with dispensers, considering expected organism presence, planned application timing, field and environmental data, and real-time tracking to determine optimal semiochemical concentration and dose rate, adjusting for losses due to wind, temperature, and topography.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If semiochemical treatment is applied to control harmful organisms, then pest control efficacy is improved, but treatment complexity and cost increase
Solution Approach 1:
The system dynamically adjusts semiochemical application parameters (dose rate, concentration, timing) based on real-time environmental data, field conditions, and pest presence information. This allows optimization of treatment efficacy while reducing complexity through automated parameter adaptation rather than manual intervention.
Solution Approach 2:
The method incorporates feedback loops that continuously monitor environmental conditions, field data, and pest presence, then use this information to adjust the application scheme. This feedback mechanism enables the system to maintain high pest control efficacy while adapting to changing conditions, reducing the need for complex manual management.
2Reliability
If semiochemical dose rate is increased to account for losses, then pest control efficacy is maintained, but substance loss increases
Solution Approach 1:
The system calculates and adjusts the minimum concentration and dose rate based on predicted losses from environmental factors (wind, temperature, humidity) and field conditions. This dynamic parameter adjustment ensures sufficient semiochemical reaches the target while minimizing overall substance loss through precise application timing and rate optimization.
Solution Approach 2:
The method performs preliminary calculations of expected semiochemical losses based on environmental and field data before application. By anticipating and compensating for predicted losses in advance, the system maintains pest control efficacy while reducing unnecessary substance application and associated losses.
3Reliability
If application timing is adjusted based on real-time data, then pest control efficacy is optimized, but operational complexity increases
Solution Approach 1:
The system automatically adjusts application timing based on real-time feedback from environmental sensors, field data, and pest presence monitoring. This automated feedback-driven timing optimization maintains high pest control efficacy while reducing operational complexity by eliminating the need for manual monitoring and decision-making.
Solution Approach 2:
The application system performs self-adjustment of timing and dosage parameters based on integrated data from multiple sources. This self-service capability allows the system to optimize pest control efficacy autonomously, reducing the operational burden on users while maintaining high effectiveness.
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
This approach ensures a homogeneous semiochemical cloud coverage, maintaining effective pest management by adjusting for environmental and topographic conditions, thereby enhancing pest control efficacy.
Implementation Method 1
a dose rate of the selected semiochemical product to be spread by the at least one dispenser into an atmospheric vapour forming a cloud which envelops crops on the agricultural field
Data Source
AI summary
In order to effectively apply semiochemical treatment products, a computer-implemented method is provided for generating an application scheme for a semiochemical treatment for controlling a harmful organism on an agricultural field using a mobile treatment device comprising at least one dispenser, the method comprising:a) providing information about an expected presence of the harmful organism for an upcoming period;b) providing, based on the expected presence of the harmful organism, a planned application timing of applying the semiochemical treatment for treating the harmful organism on the agricultural field;c) providing product data relating to a semiochemical product capable of targeting the harmful organism;d) providing, at least one of field data or environmental data at the planned application timing, wherein the field data is indicative of a field condition at the planned application timing and/or the environmental data is indicative of an environmental condition at the planned application timing;e) determining, based on the product data and the at least one of field data or the environmental data at the planned application timing, a minimum concentration of the semiochemical product for affecting a behaviour of the harmful organism;f) determining, based on the minimum concentration of the semiochemical product, a dose rate of the selected semiochemical product to be spread by the at least one dispenser into an atmospheric vapour forming a cloud which envelops crops on the agricultural field; andg) generating the application scheme based on the determined dose rate.