Service system solving plantation problems on basis of life-cycle model
A life cycle and model technology, applied in the field of agricultural planting service systems, to achieve the effects of accurate planting strategies, improved benefits, and improved system functions
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Examples
Embodiment 1
[0019] A service system for solving planting problems with a life cycle model, including a data layer, a user interaction layer, and a logic control layer; the data layer includes a variety library, an agricultural material library, a meteorological library, a soil library, a cost library, and an operation method library. Crop variety information is stored in the variety library, including crop name, variety number, growth environment and other information. Agricultural resource information is stored in the agricultural resource database, including information on consumables such as fertilizers, water sources, and pesticides. The meteorological database stores the meteorological information of the crop planting area, including information such as temperature, humidity and light. The soil database stores the soil information of the crop planting area, including the temperature, humidity, pH and other information of the soil. The cost library stores the planting cost informatio...
Embodiment 2
[0022] As an improvement of Embodiment 1, the benefit strategy includes one of the cost priority strategy, the quality priority strategy and the yield priority strategy; the planting strategy corresponding to the cost priority strategy is the cost priority planting strategy, and the planting strategy corresponding to the quality priority strategy is the quality priority planting strategy strategy, the planting strategy corresponding to the yield priority strategy is the yield priority planting strategy.
[0023] The mobile client or computer client provides a planting strategy selection interface, and the user selects one of the cost-first strategy, the quality-first strategy, and the yield-first strategy. When the cost priority strategy is selected by the user, the logic control layer obtains the planting cost information of the crops from the cost library, and calculates the respective cost factors under the selection of different varieties, fertilizers, and operation methods...
Embodiment 3
[0028] As an improvement of Embodiment 1, in this embodiment, the data layer also includes an expert database, which stores expert personnel information, expert exchange information, expert plan information, expert question information and standard question information. The expert personnel information is the information of the expert user. The mobile client or computer client provides an expert consultation interface. Users enter the questions to be consulted on the expert consultation interface. The logic control layer searches the keywords of the questions to match the corresponding expert users for the users, and facilitates the communication between users and expert users. exchange. It can further help users grow crops.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com