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The extensive application of barcodes, RFID, high-precision positioning and navigation, vehicle-mounted intelligent systems and mobile Internet of Things technologies can better realize data collection and management of modern agricultural machinery, intelligent scheduling and other functions, solve the main problems in agricultural machinery management, and achieve more refined and intelligent management.
Relying on RFID, barcodes and Internet of Things technologies, agricultural and livestock traceability helps us realize "from farm to table" full-process quality and information monitoring, helps establish a perfect traceable agricultural product quality and safety information system, and promotes openness, transparency, greenness and safety in the whole food production and processing process.
The shortage of agricultural labor is becoming increasingly severe. Therefore, how to improve agricultural labor efficiency has become a topic of concern for the industry, society and country. Automatic driving vehicles and unmanned agricultural machinery relying on high-precision RTK navigation and positioning technology can help solve this problem by improving operational efficiency and reducing labor costs. By 2024, the demand for unmanned agricultural vehicles will exceed 3 million units.
RTK technology applied in the field of plant protection drones usually adopts a mobile reference station + handheld terminal + onboard terminal model. The handheld terminal is mainly used to collect plot data, formulate flight operation plans, and plan flight routes, and then upload to the flight control system through the ground station. The onboard terminal realizes the purpose of precise flight according to the uploaded data.
Agricultural machinery information management requires a lot of information recording and tracking, such as the location, usage, maintenance records of agricultural machinery, etc. Due to irregular information management, much of the agricultural machinery information may be lost or recorded repeatedly.
Agricultural machinery often works in harsh environments and is prone to various failures. Due to the complex structure and difficulty in repairing agricultural machinery, many failures may require professional maintenance personnel for repair. Failure to promptly detect and schedule repairs can lead to long maintenance cycles and high costs.
Due to seasonal and crop type reasons, the low efficiency of agricultural machinery is another pain point in modern agricultural machinery management. Due to the lack of effective scheduling and management, much of the agricultural machinery can only be idle or underutilized, wasting a lot of resources.
Agricultural machinery often works in harsh environments and is prone to various failures. Due to the complex structure and difficulty in repairing agricultural machinery, many failures may require professional maintenance personnel for repair. Failure to promptly detect and schedule repairs can lead to long maintenance cycles and high costs.
Due to seasonal and crop type reasons, the low efficiency of agricultural machinery is another pain point in modern agricultural machinery management. Due to the lack of effective scheduling and management, much of the agricultural machinery can only be idle or underutilized, wasting a lot of resources.
Using RFID tags, mobile Internet of Things technology, vehicle-mounted intelligent multi-functional positioning and information terminals and other technologies to achieve real-time dispatching and monitoring of agricultural machinery, and clearly see the locations and statuses of large agricultural equipment such as harvesters to escort cross-regional operations and improve the utilization efficiency of agricultural machinery. The establishment of standardized procedures and mechanisms for the use and management of agricultural machinery plays a key role in the comprehensive management and monitoring of agricultural machinery. In addition, use relevant handheld devices to record and count the usage of agricultural machinery, and provide powerful data support for management decisions.
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