Field four conditions monitoring system

What are the four feelings of the field? In fact, the "four fields" refers to the soil moisture, seedlings, crop pests and diseases and disasters. Based on wireless sensors, Internet of Things, cloud platform, big data, Internet and other advanced information technologies, the field four-condition monitoring system consists of soil moisture sensor, seedling condition camera, insect condition measurement and report light, network digital camera, crop physiological and ecological monitoring instrument, early warning and forecasting system, expert system and information management platform.

Soil moisture monitoring system: The soil moisture automatic monitoring system mainly monitors the soil moisture content, and measures the soil volumetric water content (VWC) through the soil moisture sensor. At the same time, according to user needs, the system can be expanded to configure soil temperature, soil conductivity, air temperature and humidity, solar radiation, carbon dioxide and other meteorological sensors. The monitoring data is uniformly sent to the network data platform by the automatic monitoring station, the data is stored in a unified format, and is visually displayed to the user through the chart format.

Field seedling disaster integrated automatic monitoring system: The field seedling disaster integrated automatic monitoring system refers to the real-time video monitoring of crop growth and development, diseases and pests and disaster through the automatic monitoring system (including daytime images and nighttime infrared images). Combined with meteorological and soil moisture sensors and insect forecasting lights, automatic monitoring of field thinning, insects and disasters can be realized, so that managers can remotely pay close attention to crop growth conditions, and guide irrigation, fertilization, spraying and other measures according to the needs of different growth cycles of crops.

Automatic monitoring system of field insect situation: Automatic insect situation monitoring lamp (visual) uses modern light, electricity and numerical control technology to automatically achieve trapping insects, killing insects, collection, packaging, drainage and other system operations under unsupervised circumstances. Through the GPRS mobile wireless network, the insect pictures collected in the insect-receiving box are taken regularly and automatically uploaded to the remote monitoring platform of the Internet of Things. The platform automatically records and collects data every day to form a pest database, which can be displayed in the form of data lists and charts, so that staff can remotely understand the situation and changes of the insect at any time and formulate prevention and control measures.

Users at all levels can access data and system management functions through Web, PC and mobile clients, real-time monitoring and management of various important parameters in the process of crop growth, such as pests and diseases, crop growth, disasters, temperature of each monitoring point, air humidity, dew point, soil temperature, light intensity, etc. The system combines the modules of crop management knowledge, crop database and disaster index. It provides intelligent and automated management decisions for real-time remote monitoring and diagnosis of crops, and is a "clairvoyant" and "stethoscope" for agricultural technicians to manage agricultural production.