Early Action to Prevent Rape Fields

September-October is the period of occurrence of adult worms, which mainly harm rapeseeds and vegetable seedlings, resulting in culmination of ridges and ridges. In severe cases, the whole field destroys seedlings and needs to be replanted.

Control methods:

1. Bait trapping and killing 90% of the crystal trichlorfon into 30 times liquid with 60°C-70°C water, taking 1 kg liquid, evenly mixing with 30-50 kg sauteed wheat bran or cake flour, and using mu 3-5 kg, spread in the evening, usually 2-3 times.

2. Heap trapping and killing use the hidden habits of the dragonfly during the day. Set a certain number of straw piles of 5-15 cm thick in the rape field or land, which can trap young and adult insects in large numbers and concentrate hunting.

3, chemical control of mu with 20% speed killing Ding 30 ml watered 40 kg from the rape field to the center around the spray control. Spray once every 7 days and spray 2-3 times continuously.

Face Attendance Machines

Face attendance machine is the use of face attendance machine, the use of face recognition technology, the use of face differences to identify personnel. Through the extraction of portrait feature points, using the principle of biostatistics to establish a face feature template for personnel login, and in recognition of the user's face image update to improve accuracy.
Face attendance machine is the use of today's international science and technology field of high precision technology - face recognition technology (integration of computer image processing technology and biostatistics principle in one), the use of computer image processing technology from the video to extract portrait feature points, using the principle of biostatistics to analyze and establish face feature template. When a registered person walks past the Facial Recognition machine, it prompts "hello" or the person's name to indicate successful attendance. Moreover, it also has the image update function, if the image is taken as the first face, stored for the second face, if the first face image is consistent with the second face image, face recognition attendance machine will automatically store the first face image to update the second face image. This method can keep the user's face image updated, reduce the influence of face shape change on recognition, and increase the accuracy of recognition.

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