Tianqiong Sensor IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2025-04-03 10:00:37 source:Weather Station viewed:3 time
The crop growth condition is an important term in the agricultural field, referring to the growth and development status of crops at various stages from sowing to maturity. It includes comprehensive information such as plant morphology, population structure, and physiological indicators, and is crucial information for the scientific management of agricultural production.
For the monitoring of crop growth condition data, professional monitoring stations are required.
The Plant Growth Monitoring System conducts 7×24-hour uninterrupted real-time video monitoring throughout the growth and development process of crops. The system not only collects high-definition images during the day but also obtains clear night-time images and every detail of crop growth by equipping with infrared devices.
The system integrates meteorological, soil moisture sensors, and pest forecasting lights to achieve integrated automatic monitoring of the crop growth condition, pest situation, and disaster situation in the fields. With the help of this system, managers do not need to be on-site. They can remotely grasp the growth dynamics of crops in the office or through mobile terminals, and based on the needs of different growth cycles of crops, scientifically guide agricultural operations such as irrigation, fertilization, and spraying, improving the precision and efficiency of agricultural production.
System Structure
The three-meter carbon steel bracket is sturdy and durable, providing stable support for the system equipment. It can adapt to the complex and changeable field environment, ensuring that the monitoring equipment is always in the best working position.
The HK2 Hikvision camera, as the core visual unit of the system, has a powerful image collection ability, providing high-definition and comprehensive image data for the analysis of crop growth conditions.
The solar power supply system (including the protective box) uses clean solar power for energy self-sufficiency. The protective box has good protective performance, effectively protecting the system equipment from adverse weather and external factors, and ensuring the stable operation of the system.
The cloud platform builds a bridge for data transmission and management, achieving efficient interaction between the equipment and users, and providing users with convenient data access and management services.
Practical Functions
Intelligent detection supports a variety of intelligent detection functions such as regional intrusion detection and line crossing detection, which can promptly detect abnormal situations, such as animals entering the farmland and damaging the crops, helping users to quickly take countermeasures.
Infrared fill light uses an efficient fill light array with a low-power design. The infrared fill light distance can reach up to 100 meters, ensuring that clear images can still be obtained at night or in environments with low light.
Defogging and low illuminance. The built-in heated glass effectively removes fog, ensuring a clear view of the lens. At the same time, it supports ultra-low illuminance shooting, enabling the acquisition of high-quality images in extremely dark environments.
Zoom function supports 23x optical zoom and 16x digital zoom. Users can flexibly adjust the shooting perspective to view the subtle features of the crops.
In summary, the professional crop growth condition monitoring station, through hardware integration, intelligent algorithms, and a visualization platform, helps to alleviate the problems of lagging data collection and rough analysis in traditional agriculture, and promotes the transformation of agriculture from experience-driven to data-driven. In the future, with the integration of AI and Internet of Things technologies, the monitoring station will further improve the prediction accuracy and automation level.
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