Upgrade of intelligent perception technology
In the field of agricultural production, the upgrading of intelligent perception technology is leading a new trend in the intelligent development of agricultural machinery. With the rapid advancement of technology, an increasing number of new types of sensors have been widely applied in agricultural machinery. These sensors are like sensitive antennae, enabling agricultural machinery to perceive the complex and ever-changing working environment in real time and accurately, providing a solid guarantee for the efficient and precise development of agricultural production.
Soil moisture sensors play a crucial role in agricultural irrigation. In farmlands in arid areas, agricultural machinery equipped with soil moisture sensors can monitor the soil moisture content in real time. When the soil moisture is lower than the set threshold, the sensor will immediately send a signal and automatically start the irrigation system to precisely irrigate according to the pre-set water volume. This not only avoids the waste of water resources caused by excessive irrigation, but also ensures that crops can always receive sufficient water supply during their growth process, creating favorable conditions for their vigorous growth.
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Temperature sensors also play an important role in the monitoring of crop growth. In greenhouse cultivation, temperature is one of the key factors affecting the growth of crops. The temperature sensor can monitor the temperature changes inside the greenhouse in real time and transmit the data to the control system. Once the temperature exceeds the suitable range for crop growth, the control system will automatically activate the ventilation equipment or heating device to regulate the temperature inside the greenhouse and create a stable and suitable growth environment for the crops. In the cold winter weather, when the temperature inside the greenhouse is too low, the heating device will automatically turn on to raise the temperature. When it is hot in summer, ventilation equipment will be activated in time to lower the temperature and ensure that crops can grow under the best temperature conditions.
In addition to soil moisture and temperature sensors, pressure sensors also play a significant role in the precise operation of agricultural machinery. In the seeder, the pressure sensor can precisely measure the pressure changes of seeds during the sowing process, thereby adjusting the sowing depth and seeding rate in real time. When encountering areas with relatively hard soil texture, the pressure sensor will detect an increase in pressure, and the system will automatically increase the downward pressure force of the seeder to ensure that the seeds can be smoothly sown to the appropriate depth. In areas with soft soil texture, the pressure sensor will sense a decrease in pressure, and the system will accordingly reduce the downward pressure to prevent seeds from being sown too deep, which could affect the germination rate.
With the continuous development of artificial intelligence technology, intelligent perception technology is also moving towards intelligence and integration. Some new types of sensors not only can sense environmental parameters, but also have the ability to process and analyze data. Through the built-in artificial intelligence algorithms, these sensors can conduct real-time analysis of the collected data, determine the growth status of crops, the risk of pest and disease occurrence, etc., and issue early warnings in a timely manner. Integrating various types of sensors together to form a multi-functional perception system can achieve all-round monitoring and precise perception of the agricultural operation environment.
The agricultural machinery sharing economy is on the rise
In the wave of agricultural modernization, the agricultural machinery sharing economy is gradually emerging as a new driving force for agricultural development. With the rapid development of Internet technology, agricultural machinery sharing platforms have sprung up like mushrooms after rain, providing brand-new solutions for the rational allocation of agricultural machinery resources.
These shared platforms act like a bridge, closely connecting agricultural machinery owners with demanders. Agricultural machinery owners can post their idle agricultural machinery equipment on the platform to achieve effective utilization of resources. Farmers, on the other hand, can conveniently rent the agricultural machinery they need on the platform based on their actual demands, without having to spend a large amount of money on purchasing equipment, thus significantly reducing the usage cost. During the busy farming season, farmers only need to perform simple operations on the shared platform to quickly find nearby available harvesters, seeders and other agricultural machinery, avoiding the situation where the farming season is delayed due to insufficient equipment.
The rise of the agricultural machinery sharing economy has significantly increased the utilization rate of agricultural machinery equipment. According to relevant statistical data, the average utilization rate of agricultural machinery in China is only 30% to 40%, while in some regions where the agricultural machinery sharing model is implemented, the equipment utilization rate has increased to 70% to 80%, which is comparable to the level of developed countries. This not only reduces the idleness and waste of resources, but also enhances the utilization efficiency of agricultural machinery, and lowers the depreciation and maintenance costs of agricultural machinery.
In Ju Town, Yucheng District, Dezhou City, Shandong Province, Xiangming Agricultural Machinery Cooperative has fully leveraged the advantages of shared agricultural machinery. 24 harvesters are shared and used. Under the unified dispatch of the cooperative director, they work around the clock to ensure that villagers can harvest every grain of wheat and sow all the summer corn that should be sown. During this year's " Summer harvest, summer sowing and summer management" process, Yucheng City has achieved the sharing and common use of agricultural machinery by coordinating the resources of all agricultural machinery cooperatives in the city, strengthening technological support and information interconnection. This has enabled each piece of agricultural machinery to exert its maximum operational efficiency, saving farmers a great deal of time and costs, and realizing a win-win situation for both cooperatives and farmers.
The agricultural machinery sharing economy has also promoted the large-scale development of agriculture. By sharing agricultural machinery, farmers can obtain advanced agricultural equipment more conveniently, improve production efficiency, thereby attracting more land transfer and promoting large-scale agricultural operations. In Ningyuan County, many farmers have relied on the shared agricultural machinery service provided by cooperatives to carry out large-scale rice cultivation. Huang Haiwang, a major grain grower, has leased over 100 mu of farmland. The one-stop service provided by the cooperative, including seedling raising, transplanting and harvesting, enables him to manage his farmland with ease, significantly reducing his labor intensity and management costs.
In the future, with the continuous advancement of Internet technology and the increasing improvement of the sharing economy model, the agricultural machinery sharing economy is expected to embrace a broader space for development. More agricultural machinery sharing platforms will continue to emerge, and the service content and scope will be further expanded. They will not only cover common agricultural machinery leasing but may also include one-stop services such as agricultural machinery repair, maintenance, and technical consultation. The platform will achieve more precise allocation of agricultural machinery resources through technologies such as big data analysis and intelligent scheduling, further enhancing the utilization efficiency of agricultural machinery and the benefits of agricultural production. The government will also increase its support for the agricultural machinery sharing economy, introduce relevant policies and regulations, standardize market order, and promote the healthy and sustainable development of the agricultural machinery sharing economy.
Innovation in human-machine collaboration models
Under the wave of intelligent agricultural machinery, the human-machine collaboration mode is undergoing unprecedented innovative changes, bringing brand-new development opportunities to agricultural production. The traditional agricultural machinery operation mode mainly relies on manual operation, which is characterized by high labor intensity, low efficiency and is easily affected by human factors. With the rapid development of intelligent technology, the human-machine collaboration mode has gradually become a new trend in agricultural production. It fully leverages human creative thinking and the efficient execution ability of machines, achieving complementary advantages.
Under the new human-machine collaboration model, agricultural machinery operators are no longer merely simple equipment controllers, but have transformed into managers and decision-makers of agricultural production. They remotely monitor the operation status of agricultural machinery through intelligent operation terminals such as tablet computers and smart phones, obtain real-time operation data, and adjust the operation parameters of agricultural machinery according to the actual situation. When agricultural machinery is performing sowing operations, operators can use the monitoring system to obtain real-time information on parameters such as the sowing depth, sowing volume, and traveling speed of the seeder. Once any abnormal parameters are detected, remote adjustments can be made promptly to ensure the accuracy of the sowing operation.
Intelligent agricultural machinery also has an intelligent auxiliary decision-making function. It can provide scientific decision-making suggestions for operators based on a large amount of collected data, such as soil moisture, fertility, and crop growth conditions. When agricultural machinery detects insufficient soil fertility, it will automatically analyze and provide a reasonable fertilization plan. The operator only needs to confirm according to the suggestions to complete the fertilization operation. This human-machine collaboration mode not only reduces the workload of operators but also enhances the scientificity and accuracy of decision-making.
In some large farms, the human-machine collaboration model has been more widely applied. Multiple intelligent agricultural machines work in coordination in the fields, forming an efficient agricultural production system. Drones conduct all-round monitoring of farmlands from the air, collecting real-time information on the growth of crops and the conditions of pests and diseases. The tractor performs operations such as plowing, sowing and fertilizing on the ground, and automatically adjusts the operation parameters based on the data transmitted by the unmanned aerial vehicle. During the harvest season, combine harvesters precisely carry out harvesting operations based on the maturity and growth conditions of the crops. During this process, operators uniformly dispatch and manage all agricultural machinery through the central control system, achieving a high degree of coordination between humans and machines and significantly enhancing the efficiency and quality of agricultural production.
In the future, the human-machine collaboration model will continue to innovate and develop. With the continuous maturation of virtual reality (VR) and augmented reality (AR) technologies, operators can experience the working environment of agricultural machinery in an immersive way through these technologies, achieving more precise operation and control. By using VR technology, operators can monitor and adjust the operation process of agricultural machinery in real time from the office, as if they were in the fields. AR technology can present the operation data and information of agricultural machinery in an intuitive way to the operators, helping them make better decisions.
The innovation of human-machine collaboration models will bring higher efficiency, lower costs and better quality to agricultural production, and promote the continuous development of agricultural modernization.