I. Intelligent Agriculture
Introducing advanced intelligent equipment, Internet of Things (IoT) technology and big data analysis to deeply integrate and innovate traditional agriculture, it aims to build a whole-process intelligent monitoring and management system. This system is capable of precisely guiding ecological crop rotation and promoting crop growth, while ensuring high efficiency, high quality and environmental friendliness of agricultural products.
The implementation of this programme will technologically upgrade the traditional agricultural greenhouses, create intelligent agricultural greenhouses, and form a comprehensive intelligent agricultural education and research platform. This will not only improve the intelligent level of agricultural production, but also enhance the market competitiveness of agricultural products through online marketing and product traceability mechanisms, and improve the economic returns and brand influence of farmers.
II. Environmental Data Collection
In the planting base, a meteorological station is installed, which can comprehensively monitor key indicators such as environmental temperature, humidity, light intensity, carbon dioxide concentration, as well as soil temperature and moisture. Using wireless communication technology, it realises intelligent linkage and automatic networking with intelligent hardware. In this way, the environmental parameters of the planting base can be remotely monitored in real time to ensure that the planting conditions are always in the best state.
Through this intelligent monitoring and management, the planting base is able to control the environmental conditions more accurately, optimise the growing environment of the crops, and improve crop yield and quality. Remote monitoring also provides convenience for farmers, so that they can understand the real-time situation of the planting base at any time and anywhere, and make timely adjustments.
Third, intelligent control
Using the information collected by the environmental parameter acquisition system, a series of parameter thresholds can be set to automatically adjust the crop growing environment. When the collected environmental data reaches or exceeds these preset values, the system is able to automatically trigger or allow remote manual operation to activate the corresponding hardware equipment.
These devices include, but are not limited to, heaters, fertiliser systems, irrigation equipment, ventilators, and light-regulating roller shutters that provide precise control of temperature, water, nutrients, air circulation, and light required for crop growth. In this way, environmental conditions during crop growth can be intelligently and precisely managed.
IV. Remote Supervision
Users are now able to easily access real-time field data and manage it systematically by logging on to their own dedicated web client anytime, anywhere, via a mobile device or personal computer. This client allows users to monitor the environmental conditions, meteorological conditions, pests and diseases as well as the growth status of crops at each monitoring point in real time.
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