“Digital farming” is easier, and smart agriculture leads a new development path

Background:

From the ancient times of slash and burn. to the Chinese civilization of ploughing. And then to the modern agriculture of machine farming. Nowadays, with the rapid development of science and technology. The emergence of smart agriculture has completely changed the previous farming scene of “relying on natural harvest”. Then, the era of ecological agriculture in which scientific and technological innovation guides cultivation is coming.

Introduction to Smart Agriculture：

In recent years, many agricultural policies in my country have repeatedly mentioned the importance of the construction and development of smart agriculture. As pointed out in the National Rural Revitalization Strategic Plan (2018-2022), vigorously develop digital agriculture and implement smart agricultural projects and “Internet +” modern agricultural actions. Encourage the digital transformation of agricultural production. Strengthen agricultural remote sensing and Internet of Things applications. Improve the precision level of agriculture.

Specifically, the so-called smart agriculture is to make full use of the achievements of the development of modern information technology. Combined with traditional agriculture, emerging technologies such as the Internet of Things, big data, cloud computing, artificial intelligence, and 5G are practically applied to traditional agriculture. It can be through intelligent perception and data analysis of modern agricultural production environment. Realize precise management and visual diagnosis of agricultural production.

Smart Agriculture System：

Smart agriculture is mainly based on smart production, and refined, intelligent, intensive and scientific production promotes the quality and efficiency of agricultural products. The smart agricultural operation system runs through the whole process of agricultural production, including sowing, management, harvesting, and circulation.

Through “3S” technology and Internet of Things technology, various and multi-source remote sensing equipment, intelligent surveillance video equipment and intelligent alarm system are used to monitor the production environment and growth status of agricultural products. Use scientific and intelligent remote control equipment for agricultural production factors to remotely manage the production status of agricultural products in real time. Water, fertilizer, medicine and food are automatically put into management. Improve the quality and output of agricultural products and reduce production costs.

Smart Agriculture Data Analysis：

Through big data analysis, agricultural product logistics management technology, and agricultural product quality inspection technology. According to the specific demand information of agricultural products, logistics information and agricultural product growth information in the intelligent agricultural production decision-making system. The specific picking time period, picking quantity, logistics situation and quality specifications of agricultural products can be determined in a targeted and targeted manner. Reduce the loss of agricultural products and ensure freshness.

Cloud computing is a new computing model that provides massive cloud computing resources, large storage space and super computing power. It will play a huge value in the massive data computing of the agricultural Internet of Things. At the same time, edge computing acts as a supplement to cloud computing. Real-time, short-cycle local decisions will also be provided at the edge of the network and at the device side closer to the data source. For example, in a growing field, smart sensors do not need to request a central server to decide when and how much to water nearby plants or add fertilizer. They can perform related tasks themselves and then sync with major cloud platforms when necessary.

Jingxun’s smart agricultural solutions:

Smart agriculture 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. Realize intelligent perception, intelligent early warning, intelligent decision-making and intelligent analysis of agricultural production environment. The online guidance of Jingxun’s intelligent agricultural solution experts provides precise planting, visual management and intelligent decision-making for agricultural production.

Intelligent pest monitoring and intelligent spore monitoring：

The monitoring system mainly adopts modern optical, electrical, numerical control technology, wireless transmission technology and Internet technology. A set of pest ecological monitoring and early warning system was constructed. The system integrates pest trapping and photographing, environmental information collection, data transmission and data analysis. The trapping, classification statistics, real-time reporting and transmission of pests are realized. Automation and intelligence for remote detection, pest warning and control guidance. The system has the characteristics of stable performance, simple operation and flexible setting. Intelligent spore monitoring adopts modern high-tech to continuously and dynamically monitor spores. The intelligent spore monitoring system integrates modern high-tech such as electronic digital microscope, digital image processing and artificial intelligence recognition, and GMS global data transmission. Set spore automatic capture, automatic identification, automatic counting, automatic storage, etc. Realize continuous dynamic monitoring of spores. It can significantly improve the management level of comprehensive prevention and control of crop diseases.

Disaster and seedling situation monitoring：

With a 720-degree high-definition camera, it can be automatically converted to emergency recording in case of emergency. Through the layout of IoT sensors in the farmland, video monitoring is performed on the whole process of farming, such as sowing, fertilization, harvesting, packaging and other links. Establish standardized work standards. At the same time, through remote environmental monitoring, it is convenient for managers to monitor the growth of crops online. The quality supervision, inspection and quarantine department and the higher-level competent department shall effectively supervise and intervene in the production process in a timely manner. Information management personnel acquire, backup and analyze field data and image information. The video surveillance system also provides the necessary basic conditions for the use of biological information in the future.