In the summer season, in the fifth management area of Keshan Farm Co., Ltd. under Beidahuang Group, a lamp standing on the ground emits purple light, which is particularly prominent in the dark night. From time to time, insects dance around and are lured into the "belly" of this lamp. This is not an ordinary bug catching lamp, but a bug detection and reporting lamp that can 'diagnose and treat' crops Bao Dongqing, the Minister of Agricultural Development at Keshan Farm Co., Ltd. of Beidahuang Group, introduced that this insect detection and reporting lamp is equipped with an advanced automatic recognition system. It can not only automatically identify pests, but also transmit information such as the type and quantity of pests to the intelligent service system backend of the farm through the network. The system backend will automatically determine the insect situation and prevent pests. Compared with traditional monitoring methods, it is both convenient and accurate Bao Dongqing said that traditional methods of monitoring insect infestations require a lot of time and manpower, and their accuracy and timeliness are also lagging behind. Insect monitoring lights can work continuously 24 hours a day and detect pest signs in the first place, nip them in the bud stage. In recent years, in Beidahuang Group, a series of smart agriculture "black technologies" have been applied to production, promoting agricultural upgrading and ensuring food security. At Beidahuang Group Zhaoguang Farm Co., Ltd., a drone equipped with spectral imaging equipment flies back and forth over the farmland, while staff member Hao Siwen can view the live footage of the field in front of the large screen. With just a click of the mouse, all the information about crop growth, pests and diseases in the field was generated on one map. By marking a few points on the map, the drone can automatically take off at the designated time Hao Siwen introduced that drones automatically collect field spectral data during flight, transmit it back to the background, and then combine it with big data models to achieve inference of land drought and flood, crop growth, and other conditions. Without direct contact with crops, one can grasp the condition of crops and achieve accurate 'diagnosis' of agricultural conditions, "said Hao Siwen. This smart agriculture system can also automatically generate plant protection' prescriptions' based on this data, reducing uncertain risks and helping to achieve high yields and harvests. In the Heilongjiang Reclamation Area, smart agriculture technology has been applied in various aspects. In the Seven Star Branch of Beidahuang Agriculture Co., Ltd. located on the Sanjiang Plain, a leaf age intelligent diagnostic instrument is installed on the field ridge in the paddy field plot, and an extended metal arm extends the camera into the field. Now you don't have to go underground, you can track the leaf age of rice through a mobile app Shi Yan, the head of the Agricultural Production Department of Qixing Branch, took out his phone and demonstrated that the Leaf Age Intelligent Diagnostic Instrument can intelligently identify rice leaf age through camera video monitoring and digital calculation, thereby more accurately grasping various growth indicators of rice. The image data and various parameters are transmitted in real-time to the growers' mobile phones through the network, which not only provides accurate recognition but also makes viewing more convenient. (New Society)