The so-called "smart agriculture" is to make full use of the achievements of modern information technology, the integration of the application of computer and network technology, Internet of Things technology, audio technology, 3S technology, wireless communication technology and expert wisdom and knowledge, to achieve agricultural visualization remote diagnosis, remote control, disaster early warning and other intelligent management, is the advanced stage of agricultural production, set the emerging Internet, mobile Internet, cloud computing and Internet of Things technology as a whole.
Smart agriculture is the application of Internet of Things technology in the field of modern agriculture, mainly including monitoring function system, monitoring function system, real-time image and monitoring function.
Visualization of agricultural parks.
Support the integration of the existing information system data resources of the agricultural park, the overview presents the location and status of multiple greenhouses as a whole in the form of a bird's eye view, and the surrounding charts show the types of vegetable planting, the distribution of planting, the yield analysis and the proportion of output value, so as to realize the unified management of people, things and things.
Visualization of environmental monitoring.
Since the most important information for farmland planting in the agricultural system is the overall environment and weather environment of the farmland, the environmental information presents the current environmental status of the farmland to the managers in real time through the integration of heat sensors and weather data, so as to decide whether the environment needs to be adjusted.
Visualization of farmland yields.
It supports the integration of crop yield system data of farmland, and displays key indicators such as different crop yields, time to market, and planting cycles of farmland. Through visual analysis charts, farmers, farmland, agricultural materials, agricultural tools and other elements can be visualized. Support the key highlights of key crops, assist managers to comprehensively grasp the agricultural production situation, and provide decision-making basis for the allocation of agricultural resources and the adjustment of disaster prevention and control plans.
Visualization of soil monitoring.
Soil moisture is an important part of soil fertility and an important influencing factor for plant growth and development, and soil moisture is also an important parameter for studying agricultural drought and crop drought, and is an important indicator in water-saving agriculture. Through digital twin visualization technology, the soil temperature, humidity, pH value, water temperature conductivity, moisture monitoring, parameter speedometer and other sensors are visually managed, and the soil status and trend changes in different areas of each farmland can be monitored. In order to optimize the soil structure, monitor the optimization effect and provide a decision-making basis, to ensure the increase of farmland yield and income.
In China, agricultural production is still dominated by traditional production mode, and traditional cultivation can only be fertilized and irrigated by experience, which not only wastes a lot of manpower and material resources, but also poses a serious threat to environmental protection and soil and water conservation, and brings severe challenges to the sustainable development of agriculture.
"Smart agriculture" can effectively improve the agricultural ecological environment. The farmland, animal husbandry farms, aquaculture bases and other production units and the surrounding ecological environment are regarded as a whole, and the ecological environment of agricultural production is guaranteed to be within the acceptable range through systematic and precise calculation of the relationship between material exchange and energy circulation.
"Smart agriculture" can significantly improve the efficiency of agricultural production and operation. Real-time monitoring based on accurate agricultural sensors, multi-level analysis is carried out by using cloud computing, data mining and other technologies, and the analysis instructions are linked with various control equipment to complete agricultural production and management. It not only solves the problem of increasing shortage of agricultural labor, but also realizes the high scale, intensification and industrialization of agricultural production, and improves the ability of agricultural production to respond to natural environmental risks.
Smart agriculture promotes the transformation and upgrading of the agricultural industry chain through intelligence in the field of production, differentiation in the field of operation and a full range of information services in the field of servicesIt is an inevitable trend of China's agricultural modernization to realize the refinement, efficiency and greening of agriculture, and to ensure the safety of agricultural products, the improvement of agricultural competitiveness and the sustainable development of agriculture.