Unmanned farm application_SINOSO intelligent agriculture cloud platform_Business block

当前位置：网站首页>Business block>SINOSO intelligent agriculture cloud platform> Unmanned farm application

Unmanned farm

Nanjing SINOSO Wisdom Information Technology Co., Ltd. through the construction of unmanned intelligent agricultural ecology, let agriculture into the automation, systematic, digital precision and efficient agriculture 4.0 era, namely unmanned farm/smart farm.

In the future, farm managers only need to input the corresponding parameters and requirements, and the system can automatically generate the best production management plan (such as crop variety selection, accurate management zoning map, plant protection suggestions, farm operation time). The management plan covers the whole process of "ploughing, planting, management and harvest", which is dynamic and can be adjusted in real time according to soil, meteorological, disease and pest information. With the support of knowledge model/artificial intelligence, the future farm can realize "computer" instead of "human brain".

System architecture

System function

01

Intelligent irrigation

Unmanned irrigation system is an irrigation management system which integrates automatic control technology, sensor technology, communication technology, computer technology and irrigation technology. It is designed for the daily irrigation control and management of field crops, and aims to improve the efficiency of automatic production and save water resources through modern scientific and technological means. Intelligent irrigation control can improve the level of irrigation management, change the randomness of artificial operation, change the widespread extensive irrigation method, and improve the utilization rate of irrigation water, which is a necessary measure to effectively solve the problem of water saving in irrigation.
02

Intelligent agricultural machinery

According to plow, harrow, slurry and other different operations to generate different types of work path planning;

In accordance with the set line high-precision tracking form (including transfer route, working straight line segment and turning curve segment);

Automatic control of vehicle speed and engine speed;

Automatic lifting and lowering of farm tools, multi-way valve output, PTO open and close fusion control;

Automatic obstacle avoidance.
03

Farm clonogenesis

The three-dimensional scene of the unmanned farm is built through the three-dimensional model, and the basic functions of movement, zooming, rotation and flight roaming can be carried out through gestures, mouse and keyboard. Display a list of farming plots, including plot number, type and status. Click to locate the location of plots in the three-dimensional scene. At the same time, the corresponding monitoring values of the block can be displayed, including pH value, temperature, humidity, dissolved oxygen and electrical conductivity.
04

Non-plant protection

Disease and insect monitoring: spore catcher, bug detector and unmanned inspection machine collect and analyze the images of pathogenic bacteria and insect pests in real time, and upload the pictures of fungal spores and insect pests regularly;

Disease and pest analysis: The system judges whether the farm has the probability of disease and pest according to the uploaded data;

Early warning of pests and diseases: the system issues early warning reminders and prevention plans according to the probabilistic results;

Disease and pest management: In the stage of disease and pest occurrence, the system judges the types of diseases and pests according to the present state of crops and recommends the corresponding management plan, including suggestions on drug use and drug ratio, and the unmanned plant protection machine performs the elimination and killing task.

Management effect tracking: After the completion of plant protection, the equipment continues to continuously monitor the state of the crop, tracking the application effect and all-round re-monitoring of later growth.
05

Cultivated land quality monitoring and improvement

All kinds of crop growth data are automatically collected and transmitted to the agricultural four-situation Internet of Things data analysis system through the network to conduct data standardization verification and unified management, and summarize and analyze the four-situation data.

Carry out real-time monitoring of dynamic information of crop growth, early warning of disaster and moisture content, realize intelligent monitoring and early warning of four agricultural conditions, and provide basis for agricultural production decision-making and command.