Automated detection, shape classification, and counting of leaves and fruits from bunch leaf and fruit image using deep learning models for smart agriculture and forestry

Key Points

• Automated detection improves efficiency in analyzing agricultural images, significantly enhancing crop management.
• Deep learning models accurately identify and classify shapes, contributing to better decision-making in agriculture.
• Image processing techniques are employed to analyze bunch leaves and fruits, aiming for effective counting.
• Smart agriculture benefits from these advancements, supporting sustainable practices and resource management.