How Fruit Ripeness Detection Tech Can Help Farms Increase Profits

Fruit farmers have a big challenge: picking fruit at its peak.

Agriculture companies often face the challenge of not making losses from keeping spoiled produce while maximising the quality. Fruit picking is time-consuming and the fruits picked can be inconsistent in ripeness. Inefficient fruit picking can lead to substantial crop losses, reduced market value, and increased operational costs.

This is why big farms turn to agritech to solve the problem of fruit ripeness monitoring, with computer vision AI being a key feature of these solutions.

Tictag's fruit ripeness detection AI is able to accurately discern ripeness levels for fruits of various colours, textures, shapes and sizes.

What Fruit Ripeness Detection AI Tech Can Check For

Fruit ripeness agritech systems are programmed to judge fruit quality based on each farm's needs. Common factors used in the process include.

• Colour changes that show ripeness
• The texture of fruit skin
• The size and shape of each fruit
• Early signs of damage from sun or pests

How Ripeness Monitoring AI Helps Farmers Make Better Decisions

Computer vision AI-based agritech systems use cameras and sensors to check fruit ripeness across entire fruit farms. These tools help farmers in three main ways:

Harvest timing: The system tells farmers exactly when fruit is ready to pick, giving a concrete cue based on standards that have been coded into the system. This removes guesswork and inconsistency.

Yield estimation: Farmers can better estimate the quantity according to the detected fruit ripeness, which helps with supply chain distribution planning and pricing decisions.

Storage planning: AI can predict how long fruit will stay fresh, helping farms plan their sales and shipping.

How Monitoring Fruit Ripeness Translate into Better Prices and Lower Cost

• High-quality fruit can be sold to premium markets at higher prices
• Lower-quality fruit can be sold to different buyers at fair prices
• Better consistency results in better buyer satisfaction, which means premium prices and repeated business
• Less fruit is wasted due to incorrect sorting
• Packing houses can process fruit faster

With fruit quality and ripeness being a top influencing factors of revenue for agriculture companies, it is important for farms to ensure that they are being optimised on a consistent scale. The agriculture technology landscape is flourishing, and the ability to utilise the new tech and AI solutions that are available will make the difference between farms that are able to scale and grow, and those that remain smallholders.

Speak to an AI expert about ripeness detection - book a meeting now.

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