Use of image processing in hydroponic agriculture

Get to know ifarmcare’s solution in using image processing from planting to harvesting

The use of image processing and machine vision systems in agriculture is a new yet extremely important method that allows farmers to monitor the appearance of plants from the moment of planting and sprouting to full growth, production, and harvesting. This technology enables early detection of any changes that may indicate disease or other problems in the plants, helping to prevent the spread of issues and minimize crop losses in agricultural production.

What does ifarmcare do in this area?

As mentioned, the application of image processing and machine vision is highly practical. However, if monitoring and oversight are left to humans or predetermined automated systems, they will never fully utilize their potential. Therefore, implementing a trained artificial intelligence capable of recognizing all plant conditions is one of the most important aspects of designing an effective image processing system.

Certainly, humans cannot continuously monitor plant conditions in real-time. Additionally, humans lack the ability to detect all states of the plants at high speeds and within short timeframes. In contrast, an AI system with machine vision capabilities can monitor the plants around the clock and in real-time, capturing even the smallest details, such as slight changes in leaves, stems, or even the size of the plants, which will not escape the attention of ifarmcare’s AI.

If any issues in the plant’s condition are detected, farmers will be informed as quickly as possible.

In summary, we are developing a farmer AI that will be trained in all necessary agricultural expertise and can effectively protect and manage plants and agricultural products from planting to harvesting without human intervention, ensuring precise management of greenhouses.