Smart agriculture promotes the progress of modern agriculture

User:JXCTUpload time:Apr 24 2022

Applying what you have learned is a major driving force for technological development and progress. For modern agricultural biotechnology, information technology, Internet of Things, mobile Internet and other technologies, it has also become an important technology for upgrading facility agriculture. A green revolution is underway. In addition to Israel, which is world-famous for its desert drip irrigation technology, developed countries such as the United States, the United Kingdom, and France are also deploying smart agriculture. Including sensors, drones, robots and other agricultural equipment and software. The market value of the industry has also reached 60 billion US dollars, and it has grown into a large-scale market.

What is Smart Agriculture:

Smart agriculture is a broad concept that covers a wide range and has various forms in specific applications. The inseparable point is that information data is the core. Cross-border integration with agriculture through technologies such as the Internet, Internet of Things, big data, artificial intelligence and smart devices. Improve the control over the whole process of agricultural production, and create and improve an agricultural production method with information perception, quantitative decision-making, intelligent control, precise input, and personalized services. Realize agricultural intelligence. Smart agriculture is developing rapidly, and its performance trend is becoming more and more prominent.

Smart Agriculture Development Trend – Big Data Technology Application:

Big data technology can be vague. For example, for cucumbers grown in greenhouses, the data from cucumber seedlings germination – transplanting – growth – flowering – fruiting – picking, whether there is spraying or not are recorded. And grow data records with time as the coordinate, which is convenient for consumers to query. It is convenient for the supervision of the food safety department and the grower to analyze and adjust the planting plan. The application of big data technology is fully infiltrating the entire agricultural production process. From seed fertilizer, to production, processing, logistics and transportation, and then to sales and delivery to consumers’ tables. Finally, a series of whole processes such as kitchen waste treatment requires a large amount of data to support and build such a database system.

Development Trend of Smart Agriculture – Application of Intelligent Equipment:

Intelligent equipment includes IoT hardware equipment, automated agricultural machinery equipment, robots, drones, etc. At present, the most widely used devices are sensors, wireless sensing devices, data collectors and other devices. There is more room for application promotion of other devices.

The development trend of smart agriculture – unmanned and less humanized:

This trend is partly due to population decline. The rural labor force or the number of agricultural practitioners has decreased, and the traditional agricultural labor intensity is high. Low income and other deficiencies have resulted in the current situation of abandoned farmland and no one to cultivate the land. Planting with no one and few people is one of the mitigation methods.

The development trend of smart agriculture – the upgrading of production methods:

With the help of a large number of intelligent agricultural equipment. Change the traditional small-scale planting and breeding mode of one family. Gradually move to the mode of factory planting and large-scale breeding.

Smart Agriculture Solution
Smart Agriculture Solution
Introduction of Jingxun smooth intelligent agricultural system and equipment:

Market farming is an advanced stage of agricultural production. It integrates emerging Internet, mobile Internet, cloud computing and IoT technologies. It relies on various sensor nodes (environmental temperature and humidity, soil moisture, carbon dioxide, images, etc.) and wireless communication networks to realize intelligent perception, intelligent early warning, intelligent decision-making and intelligent analysis of the agricultural production environment. Jingxun’s smart agricultural solutions have expert online guidance, providing precise planting, visual management and intelligent decision-making for agricultural production.

automatic irrigation system
automatic irrigation system
Automatic irrigation system:

Jingxun’s automatic irrigation system automatically monitors soil, climate and other environmental data. The irrigation controller transmits wireless control signals to control the opening and closing of the solenoid valve and the irrigation time. This enables precise timing and automatic irrigation of crops. The automatic irrigation system is based on the demand law of crops, soil moisture, soil properties and other conditions. Provide the most suitable automatic irrigation, sprinkler and drip irrigation solutions. The automatic irrigation system carries out regular and quantitative irrigation according to the plan, and supports various working modes such as remote control, manual control, automatic control, and timing control. All irrigation equipment can be controlled, saving manpower. The automatic irrigation system automatically records the operation of the equipment and automatically generates a running log. You can view all operation records through the cloud platform.

The development of smart agriculture has become an important trend and direction. At present, in addition to the technical requirements for hardware to be improved, it is also necessary to cultivate a large number of new cross-industry technical talents to control the application of smart agricultural systems. It is necessary to have various professional knowledge such as operating various types of agricultural machinery and equipment, understanding e-commerce operations, and mastering computers, the Internet of Things, and machinery. At the same time, agricultural enthusiasts with artisan spirit. There are plans to cultivate agriculture for a long time, and promote the upgrading and development of agricultural production models.