Localized Spraying Tank Fill Quantity Prediction
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Solution Overview
Problem
Current localized spraying systems for agricultural machines face challenges in determining the precise quantity of treatment products needed for a plot of land in advance, leading to inefficiencies and potential over-use, especially since many products have limited effectiveness once prepared and diluted.
Innovation Solution
A method using vegetation and biotic stressor maps, combined with growth models and agronomic data, to forecast the treatment needs of a plot of land, allowing for the calculation of the required treatment product quantity before application, and a filling system to accurately fill the spraying system's tank with the necessary amount.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the tank is filled with a large quantity of treatment product in advance, then the spraying system can operate continuously without interruption, but the treatment product may expire or lose effectiveness before use
Solution Approach 1:
The system performs preliminary scanning and identification of treatment areas before the spraying operation begins. By using satellite imagery and image processing algorithms to pre-identify areas requiring treatment, the system calculates the exact quantity of product needed in advance, allowing the tank to be filled with the precise amount required without overfilling and risking product expiration.
2Reliability
If the tank is filled with a small quantity of treatment product, then the product remains effective throughout use, but the spraying system may need to stop and refill multiple times
Solution Approach 1:
The system uses feedback from preliminary image analysis and treatment area identification to dynamically determine the optimal tank fill quantity. By analyzing satellite imagery and processing images in real-time to identify treatment areas, the system provides feedback on the exact product quantity needed, allowing operators to fill the tank with the precise amount required to complete the job without unnecessary refills or product waste.
3Measurement precision
If real-time image processing is used to identify treatment areas, then localized spraying precision is improved, but the time required to determine treatment quantity increases
Solution Approach 1:
The system performs preliminary image acquisition using satellite imagery before the spraying operation. Satellite images are acquired and processed in advance to identify treatment areas, allowing the system to prepare treatment maps and calculate product quantities before the agricultural machine arrives at the field, thus reducing on-site processing time while maintaining precision.
Solution Approach 2:
The system uses satellite imagery as a copy or representation of the field to identify treatment areas remotely, before actual spraying begins. This allows treatment planning and product quantity calculation to be performed using image copies rather than requiring real-time analysis during the spraying operation, significantly reducing the time loss associated with real-time image processing.
Data Source
AI summary
The invention relates to the field of agricultural spraying. It relates to a method for preparing a treatment product in a quantity needed for treating a plot of land using a localized spraying system. According to the invention, the method (100) comprises: a step (120) of generating a vegetation prediction map, said map being generated from an earlier vegetation map and from a plant growth model that models the growth of the plants being cultivated on the plot of land; a step (130) of generating a spray prediction map, said map being generated from the vegetation prediction map, a quantity of treatment products to be sprayed being determined for each zone of the spray prediction map; and a step (140) of determining a total quantity of treatment product, said quantity being calculated according to the quantities of treatment product to be sprayed in the various zones of the spray prediction map.