Crop Feasibility Decision Support System for Vertical Farming Risk Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional farming methods face challenges such as deforestation, water crisis, and increased risks due to climate change, while vertical farming offers solutions like reduced water and land usage but is energy-intensive and costly, making the economic viability unpredictable.
Innovation Solution
A method and system for evaluating and determining the feasibility of growing crops by assessing various risk factors through a decision support system, which includes data entry, risk factor tailoring, and feasibility reporting, allowing for optimized crop growth implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If vertical farming is implemented, then water usage and land usage are reduced, but energy consumption and cost increase
Solution Approach 1:
The patent applies parameter changes by adjusting operational parameters such as lighting schedules, temperature control, and nutrient delivery timing to optimize energy consumption while maintaining crop growth efficiency in vertical farming systems
Solution Approach 2:
The system dynamically adjusts energy consumption parameters based on real-time monitoring of crop growth stages, environmental conditions, and resource availability to balance energy usage with production output
2Loss of substance
If vertical farming is implemented, then water usage and land usage are reduced, but cost increases
Solution Approach 1:
The patent utilizes parameter changes to optimize cost structures by adjusting operational parameters such as crop selection, growth cycle timing, and resource allocation to reduce overall farming costs while maintaining water efficiency
Solution Approach 2:
The system implements partial automation and selective monitoring of critical parameters rather than complete system automation, reducing implementation and operational costs while maintaining essential water management efficiency
3Measurement precision
If multiple risk factors are evaluated, then feasibility determination accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the feasibility evaluation system into distinct modules for different risk factor categories (economic, environmental, technical, market), allowing each module to be developed and maintained independently while contributing to overall evaluation accuracy
Solution Approach 2:
The system employs universal data collection and processing mechanisms that serve multiple risk factor evaluation purposes, reducing overall system complexity by using common infrastructure for diverse analytical needs
Data Source
AI summary
Embodiments of the present disclosure pertain to methods of determining the feasibility of growing one or more crops by evaluating a plurality of risk factors associated with the growing and determining the feasibility of the growing based on the evaluation of the risk factors. In some embodiments, the methods of the present disclosure also include steps of tailoring the risk factors based on the determination of the feasibility of the growing and re-determining the feasibility of the growing by evaluation of the tailored risk factors. Additional embodiments of the present disclosure also include a step of implementing the growing based on the determination of the feasibility of the growing.