Visually representation of core content of the production area in formats of charts, maps, videos, and numbers, allowing for a centralized display of a comprehensive picture.

The display can be alternated between the three levels: by region, by town/ street, and by specific zones, enabling integrated, intensive management of personnel, machinery, supplies, agricultural tasks, and agricultural data.

​

1. Integrating cultivation, management, and harvesting with agricultural data. With geospatial big data as its core, integrating agricultural and production data through agricultural IoT, aerial surveillance, farm machinery, drones, automated equipment, agricultural workers, etc.

2. Utilizing expert decision systems, algorithms and statistics to analyse aggregated data to command the generation of guidance maps, messages, alerts and tasks tailored to each area, efficiently enhancing precision in farm management.

3. Big Data + Artificial Intelligence (AI) analysis

4. Prescription diagrams

5. Production alerts

6. Task assignments

7. Information notifications

8. Overview maps

​

An integration system that connects all sensors, smart devices, information systems in the field; gather information on crop growth environment, crop conditions, pests and diseases; analyse functions of agricultural management, farm machinery operations, inputs and outputs, agricultural records, personnel management, cost-benefit analysis, etc.

 

It allows for precise production scheduling, planning, market analysis, backed by intelligent decision-making. Ultimately, establishing a digital management hub for farm production and operations, as well as enhances production and operational efficiency.