With the continuous development of science and technology, smart agriculture has become an important trend in the development of agriculture in today's society. As an emerging technology, digital twin technology is gradually being applied to the field of smart agriculture.
The digital twin company Shenzhen Huarui Vision based on the digital twin as the core technology builds a smart brain to accelerate new rural infrastructure and make the countryside more "smart". By planning a super brain development blueprint that deeply integrates technologies such as AI, big data, and digital twins , speed up the construction of rural technical facilities and public services, and promote the agricultural digital revolution.
Digital twin technology can help precise management in the agricultural production process, such as monitoring the growth environment of crops through sensors, providing farmers with timely data feedback, and helping them accurately adjust production behaviors such as fertilization and watering, thereby improving the yield and quality of crops . Digital twin technology can also help farmers digitally manage agricultural machinery and equipment, improve the utilization efficiency and management level of agricultural machinery and equipment, and reduce farmers' labor intensity.
In addition, digital twin technology can also help accurate decision-making in the agricultural production process, such as accurate diagnosis and prediction of crop pests and diseases through digital twin technology, helping farmers take timely measures to prevent the occurrence of pests and diseases, and reduce losses in agricultural production.
1. Farmland simulation and optimization:
Through digital twin technology, a virtual model of farmland can be established, including factors such as soil quality, climatic conditions, and water resources. This can help farmers optimize tillage practices, fertilization and irrigation regimens to improve crop yield and quality.
2. Agricultural equipment management and optimization:
With digital twin technology, agricultural equipment can be modeled and simulated to optimize its use and maintenance. This includes aspects such as machine efficiency, energy consumption, and fault diagnosis, which can help improve equipment operating efficiency and reduce costs.
3. Crop growth monitoring and forecasting:
Digital twins can combine sensors and monitoring technologies to monitor crop growth in real time, including factors such as temperature, humidity, and light. Such monitoring data can be used to predict the growth trend of crops, the risk of diseases and insect pests, etc., and help farmers take timely measures to ensure the healthy growth of crops.
4. Agricultural product supply chain management:
Through digital twin technology, a virtual model of the agricultural product supply chain can be established to realize the whole process management of agricultural products from planting, harvesting, processing to sales. This improves the efficiency of the supply chain, traces the origin and quality of products, and reduces waste and wastage.
When implementing digital twins for smart agriculture, the key is to collect and integrate various agricultural data, including data on soil, weather, crop growth, etc., and build accurate models to simulate and optimize agricultural systems. At the same time, suitable sensors and monitoring equipment are also required to obtain real-time agricultural data.
5. Monitoring and alarming
Based on the alarm threshold set in the system, that is, temperature and humidity, wind speed, gas concentration, illegal intrusion, equipment failure, etc. can be used as alarm events. Send alarm information to remind users to deal with it in a timely manner. Users can refer to the alarm information in time and connect with the intelligent system in real time, so as to adopt intelligent decision-making and effectively take human intervention when errors occur to reduce risks.
6. Equipment management
Supports three-dimensional modeling of various equipment and facilities, and truly reproduces the appearance, structure, and operation details of equipment and facilities; integrates equipment operation monitoring and other industrial Internet of Things with perception and monitoring capabilities, and various collection and control sensors or controllers upload in real time Monitoring data, monitoring the specific location, type, operating environment, and operating status of various facilities, supporting real-time alarms for abnormal equipment operation (fault, short-circuit impact, overload, overtemperature, etc.), assisting managers to intuitively grasp the equipment operating status, and timely If equipment failures are found, facilities will be repaired in a timely manner, and production can be resumed as soon as possible.
In addition to information feedback and monitoring management, the digital twin system can also conduct precise analysis of agricultural data, such as land use, land area, land management, and cultivated land services. It can better promote the development of the national agriculture, rural areas and farmers policy, and further implement the indicators of agricultural modernization.
Weather conditions are an important indicator in agricultural management. The digital twin system can predict the weather conditions in the next 48 hours in advance. Accurate forecasts can prevent natural disasters in advance, reduce the impact of disasters on agriculture, and accurately meet the needs of agriculture for meteorology.
The application of three-dimensional visualization large screen in smart agriculture can improve agricultural production efficiency and safety management level, improve agricultural production efficiency, and promote the process of agricultural modernization. Digital twin technology can greatly improve the efficiency of agricultural modernization management and decision-making, and then promote the lean and differentiated operation of agriculture according to market demand. In addition, intelligent agricultural production can provide more production resources for modern cities and advanced industries, thus helping to promote the further development and cooperation of the global industrial chain.
There are many other aspects of the application of digital twin technology in the field of smart agriculture. For example, it can combine artificial intelligence and big data analysis to help farmers make more accurate decisions and optimize the use of agricultural resources. At the same time, digital twin technology also provides a platform for agricultural research and innovation. Through simulation and experiments, scientists can better understand the operation rules of agricultural systems and propose innovative solutions.