Introduction

The AI system for counting flowers on fruit trees uses advanced computer vision and machine learning techniques to analyze images taken with standard smartphones. Here’s how it works:

Image Capture and Processing

High-resolution cameras on smartphones capture detailed images of fruit trees.

The system processes these images to recognize patterns and features of flowers.

AI and Machine Learning Algorithms

Convolutional Neural Networks (CNNs) are employed for fruit recognition and instance segmentation.

The AI is trained to identify flowers based on their unique characteristics:

Edges and shapes of petals

Color patterns

Spatial relationships between flowers

Advanced Recognition Capabilities

The system can identify flowers even when they overlap or are partially obscured.

It recognizes patterns and features such as the edges and shapes of petals.

Accuracy and Improvement

When tested on peach orchards in Catalonia, Spain, the AI predicted flower counts with 90% accuracy.

The system continuously improves its accuracy through machine learning, analyzing more data over time.

Integration with Farming Practices

The technology seamlessly integrates with traditional farming methods, using off-the-shelf smartphones.

Farmers can easily adopt this innovative solution without overhauling their existing practices.

Conclusion

By leveraging these advanced technologies, the AI system provides a more accurate and efficient method for counting flowers on fruit trees, significantly improving upon manual counting methods which can have error rates of 30-50%