Corn bollworm monitor

Model：FT-YM5

Corn bollworm monitor implements the functions of worm processing, worm scattering, photo uploading, worm cleaning, and automatic operation of the whole lamp.

Corn southern rust monitor

Model：FT-YM6

Corn southern rust monitor collects the growing environment of corn growing areas and predicts the incidence of corn diseases according to the built-in model of the system.

Rice planthopper monitor

Model：FT-SD1

Rice planthopper monitor can efficiently attract, intelligently identify and statistically analyze rice planthopper and isophototaxis pests.

Rice thrips monitor

Model：FT-SD2

Rice thrips monitor is developed based on the principle that rice thrips is sensitive to specific colors, and is used to monitor and warn the occurrence of rice thrips in paddy fields.

Rice blast monitor

Model：FT-SD3

Rice blast monitor collected the growth environment of rice growing area and predicted the incidence of rice blast according to the built-in model of the system.

Rice seedling disease monitor

Model：FT-SD4

Rice seedling disease monitor is a kind of monitoring device for rice paddy field, which is designed to help farmers detect and prevent the occurrence of malignant seedling disease.

Striped stem borer monitor

Model：FT-SD5

Striped stem borer monitor is developed for agroforestry and forestry pest measurement and can complete the system operations of trapping, killing, photographing, collecting and draining.

Rice sheath blight monitor

Model：FT-SD6

Rice sheath blight monitor predicts the blight of rice sheath blight according to the built-in model by collecting the growth environment in rice growing region.

Potato late blight monitor

Model：FT-WYB

Potato late blight monitor is widely used in potato planting industry because it can monitor weather elements in situ all weather and analyze late blight data automatically.

Locust online monitoring station

Model：FT-HC1

Locust online monitoring station can collect and analyze grassland locust information at fixed monitoring points, and send the data back to the monitoring and early warning center in real time.