Field Application Planning Using Remote Sensing and Local Dosage Control
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Solution Overview
Problem
Precision agriculture faces challenges in determining the exact dosage of plant protection agents and nutrients due to spatial variations in soil and vegetation conditions within a field, leading to inefficient use and potential resistance issues, as well as difficulties in detecting local inhomogeneities that require adjusted treatments for maximum yield.
Innovation Solution
A method and system that utilize remote sensing data and local sensors to receive digital images of fields, plan partial-area-specific agricultural measures, and continuously adapt implementation based on current local parameters, ensuring precise application of plant protection agents and nutrients according to the biophysical state of the field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform plant protection agent dosage is applied across the entire field, then implementation is simple and quick, but resource efficiency decreases and resistance risks increase due to unnecessary applications in areas where treatment is not needed
Solution Approach 1:
The patent applies local quality by determining plant protection requirements specifically for different local areas within the field based on remote sensing data. The system divides the field into zones with different treatment needs and applies plant protection agents only where necessary, with dosages tailored to local conditions. This resolves the contradiction by maintaining simple implementation through automated zone-based application while eliminating waste by avoiding unnecessary treatments in areas that do not require intervention.
Solution Approach 2:
The patent employs preliminary action by using remote sensing to identify areas requiring plant protection treatment before actual application occurs. The system analyzes satellite or aerial imagery to detect vegetation stress, disease presence, or pest infestations in advance, allowing planners to pre-determine treatment zones and dosages. This enables targeted application only where needed, resolving the contradiction between quick implementation and reduced substance loss by preparing treatment maps beforehand.
2Reliability
If plant protection agents are applied throughout the field, then comprehensive protection is achieved, but resistance formation by harmful organisms increases due to excessive and unnecessary exposure
Solution Approach 1:
The system applies local quality by determining plant protection requirements specifically for different local areas within the field based on remote sensing data. The patent divides the field into zones with different treatment needs and applies plant protection agents only where necessary, with dosages tailored to local conditions. This resolves the contradiction by maintaining comprehensive protection in vulnerable areas while avoiding unnecessary applications elsewhere, thereby reducing overall resistance formation risk.
Solution Approach 2:
The patent applies partial action by determining that not all areas of the field require plant protection treatment. Using remote sensing analysis, the system identifies specific zones where harmful organisms are present or where plants show stress symptoms, and applies treatment only to those partial areas. This approach maintains effective protection where needed while avoiding excessive application in healthy areas, thereby reducing the selection pressure that drives resistance formation.
3Measurement precision
If remote sensing data is used to detect field inhomogeneities, then treatment precision is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent applies universality by using multi-functional remote sensing data that serves multiple purposes: detecting vegetation health, identifying treatment zones, determining application dosages, and monitoring treatment effectiveness. The same satellite or aerial imagery is processed to generate comprehensive treatment maps that guide the entire plant protection operation. This resolves the contradiction by achieving high measurement precision through a single versatile data source rather than requiring multiple specialized sensing systems.
Data Source
AI summary
The present invention relates to the planning and implementation of agricultural measures using remote sensing data and local field data. Using remote sensors, the total required amount and partial-area-specific required amounts of plant protection agents and/or nutrients and/or seeds and/or the like can be determined, and based on this information, the use of an application device can be planned. Using local field sensors, the current local required amounts in the field are determined so that the application device can apply the corresponding amounts as required.