Hairuo agricultural large model

"Agricultural digitalization, and experts for production". Hairuo agricultural large model provides users with agricultural assistants, market consultation and decision-making assistance services. About the Hairuo agricultural large model

  • About
  • Business advantages
  • Business scenarios
  • Customer cases

About

The Hairuo agricultural large model uses digital technology to improve agricultural production efficiency and form the new quality agricultural productivity. Through models such as growth monitoring, price forecasting, and intelligent Q&A, we will improve the level of digital intelligence in agricultural production, the traceability management ability of agricultural products, and the ability of agricultural risk resistance, promote the integration and innovation of industrial chain data, and cultivate a new model of demand-based production, so as to achieve "no difficult agriculture in the world".

Business advantages

  • Efficient resource integration

    By deploying the agricultural large model on the cloud platform, the efficient integration of computing resources and storage resources can be realized. Researchers and agricultural practitioners have access to unified datasets and powerful computing power, improving the operational efficiency of models and the speed of data processing.

  • Barrier-free data sharing

    Cloud computing platforms naturally have the advantage of data sharing. In the field of agriculture, climate information, soil analysis, crop growth data, etc. can be recorded, providing richer and more diverse inputs for large models, enhancing their accuracy and applicability.

  • More flexible cost control

    You can pay for cloud services on demand, avoiding the need for heavy asset investment in the early stage. This flexibility is especially beneficial for agribusinesses and research institutions of all sizes, as it allows them to dynamically adjust their use of resources according to actual needs, thereby controlling costs and avoiding wasted resources.

  • Rapid real-time update and iteration

    The agricultural large model of the cloud platform can access the latest data and research results at any time to achieve rapid update and iteration. This not only helps to maintain the timeliness and accuracy of the model, but also enables the research results to be quickly transformed into practical applications, accelerating the pace of agricultural science and technology innovation.

Business scenarios

  • Staple food planting scenario

  • Inshore fisheries

  • Real-time monitoring of crop growth, prediction of crop yield, pests and diseases, and integration of various agricultural data, such as climate information, soil conditions, crop growth data, etc., to provide digital breeding, precision agriculture services, to solve the problems of low level of digital intelligence in agricultural production and poor ability to resist risks.

  • Guided by the specific application scenarios of offshore fisheries, it provides services such as environmental monitoring, aquaculture optimization, product traceability and market analysis for seafood. Through real-time data collection and intelligent analysis, we can improve breeding efficiency and ensure food safety, and at the same time, through market dynamic analysis, reasonable guide for market sales, and support for policy formulation and risk management, we can achieve sustainable development of marine aquaculture.

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