## 1 Introduction  
In the global supply chains of agricultural production, remote sensing technology has proven valuable in various applications, such as in vehicle and boat detection, which plays an essential role in this field. It can help farmers, agricultural experts, and government agencies to identify and monitor crop growth, the effects of pests and diseases [1], soil moisture, and other important information about farmland management and agricultural production. By accurately locating and classifying agricultural objectives, these technologies can provide important decision support for agricultural production, helping farmers to optimize resource use, increase yields, and reduce environmental impacts [2]. Ensuring the efficiency and reliability of the supply chain has become particularly important as the global demand for food grows. The accurate detection and analysis of targets in remotely sensed imagery can provide vital information about vehicles, ports, and buildings, thus helping to plan and optimize all aspects of the supply chain [3, 4]. In addition, the technology can be used to monitor the transparency of the supply chain during food distribution. Potential safety issues and illegal activities, such as counterfeit food and other illegal additives, can be detected by analyzing remote sensing images of vehicles, logistics nodes, and trading places. This helps to protect consumer rights, maintain a level playing field in the agriculture market, and improve the supply sustainability of products [5]. Taking the grain supply chain management system (GSMS) as an example, remote sensing images can monitor the entire processes from grain planting, production, storage, transportation, international trade, and consumption. With the strong support of remote sensing technology, the GSMS integrates various aspects of information, including traffic management [6], road infrastructure, weather and land conditions [7], and user consumption behavior, to achieve more intelligent and efficient management decision results. For example, by analyzing remote sensing images of a certain city, critical information such as the ocean transportation density, aircraft flight frequency, truck and high-speed rail capacity, and cold chain facilities' distribution can be learned. This is of great significance in resource allocation and quality assurance reduction in international grain trade and provides an effective method to achieve transportation assurance and food quality safety [8]. Remote sensing is a technology that collects electromagnetic radiation information from artificial satellites, airplanes, or other vehicles about physical targets to identify the Earth's environment and resources. Any object has different electromagnetic wave reflection or radiation characteristics. Aerospace remote sensing technology uses remote sensors mounted on aircraft to sense the electromagnetic radiation characteristics of physical targets and record the characteristics for identification and judgment. Remote sensing images are acquired using imaging equipment on aircraft to capture ground objects. These images are valuable sources of dynamic and comprehensive data, which are crucial for land cover monitoring, urban information planning, and marine environment detection. Currently, remote sensing technology is widely used in international agricultural trade, transportation supervision, supply chain monitoring, and other scenarios [9]. For example, in a certain port, accurately identifying the number of ships, planes, trucks, and other transportation equipment from remote sensing images is essential in various practical applications of supply chain regulation. It can effectively analyze the trade situations of different agricultural productions by recognizing their types and estimating the total amount of goods in circulation as well as the operation situation of each supply chain [10].