AI
Artificial intelligence in vertical farming is used in various ways to increase productivity, optimise resource utilisation and automate processes.
The Software Titles we have developed are as follows.
1. Data Analysis and Forecasting
Artificial Intelligence determines the best growing conditions for plants by analysing data such as weather, temperature, humidity and light levels. This data helps optimise decisions such as irrigation and fertilisation.
2. Automatic Control Systems
AI-based control systems can be used to automatically adjust light, water and nutrient solutions. This increases productivity by making instant adjustments according to the needs of the plants.
3. Disease and Pest Detection
Plant diseases and pests can be detected using image processing and machine learning. In this way, damage can be minimised with early intervention.
4. Sustainability and Resource Management
Artificial Intelligence enables monitoring of resources to optimise energy and water use. This helps to reduce environmental impact and promote sustainable agricultural practices.
5. Productivity Analysis
By comparing the growth efficiency of different plant species, Artificial Intelligence can determine which plants grow better in which conditions. This information helps to improve production processes.
6. Robotics and Automation
In vertical farming systems, robots automate the planting, watering and harvesting of crops. Artificial Intelligence is used to optimise the movements and work processes of these robots.
7. Customer Demands and Market Analysis
By analysing consumer demand, Artificial Intelligence determines which products are more popular and when they will be in greater demand. This improves production planning.
The use of Artificial Intelligence in vertical farming plays an important role in both increasing economic efficiency and supporting environmental sustainability. In this way, modern agricultural practices are becoming smarter and more effective.
