UAV Spraying Timing Based on Neighboring Field Harvest Status
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Solution Overview
Problem
The technique of spraying agricultural chemicals over farm fields using unmanned aerial vehicles often results in scattering, which can adversely affect crops in neighboring fields.
Innovation Solution
An information processing method that decides the execution timing of agricultural chemical spraying based on information about surrounding farm fields, including crop harvesting status and chemical suitability, to minimize the impact on adjacent crops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If agricultural chemical spraying is performed without considering neighboring field harvesting status, then spraying efficiency is improved, but harmful effects on neighboring crops increase
Solution Approach 1:
The system performs preliminary checking of harvesting status in neighboring fields before scheduling spraying operations. By acquiring information about crop harvesting status in advance and predicting drift impact, the system prevents harmful effects before they occur, rather than reacting after damage happens.
Solution Approach 2:
The system establishes a feedback mechanism where information about neighboring field harvesting status is continuously acquired and used to adjust spraying schedules. The management device receives harvesting information from multiple fields and feeds this back into the scheduling decision-making process, creating a closed-loop control system that adapts to changing conditions.
2Reliability
If spraying timing is adjusted to avoid neighboring field drift, then safety is improved, but spraying productivity decreases
Solution Approach 1:
The spraying schedule is made dynamic rather than static. The system continuously monitors harvesting status in neighboring fields and automatically adjusts spraying timing based on real-time conditions. This dynamic scheduling allows the system to maximize productivity when conditions are favorable while ensuring safety when conditions require postponement.
Solution Approach 2:
The system changes the timing parameter of spraying operations based on harvesting status information. By adjusting the temporal parameter (when spraying occurs) rather than changing the spraying method or equipment, the system maintains productivity while improving safety through intelligent scheduling decisions.
3Manufacturing precision
If information about multiple farm fields is collected and processed, then spraying precision is improved, but system complexity increases
Solution Approach 1:
The management device acts as an intermediary that centralizes the collection, processing, and coordination of information from multiple fields. Rather than requiring complex direct communication between all spraying systems and all field monitoring systems, the management device serves as a hub that simplifies the information flow and decision-making process.
Solution Approach 2:
The management device performs multiple functions: acquiring harvesting information, predicting drift impact, determining spraying schedules, and coordinating with unmanned aerial vehicles. By consolidating these diverse functions into a single multi-functional system, the patent reduces overall system complexity compared to having separate specialized systems for each function.
Data Source
AI summary
An information processing method is executed by an information processing device configured to decide an execution timing of agricultural chemical spraying by an unmanned aerial vehicle. The information processing method includes acquiring information about each of a plurality of farm fields and deciding an execution timing of agricultural chemical spraying over a first farm field to be sprayed by the unmanned aerial vehicle based on information about a second farm field located around the first farm field.