Oriented Feature Pyramid Network For Small And Dense Wheat Heads Detection And Counting

Object detection is a crucial task in computer vision, and there are two types of algorithms used for this task: one-stage and two-stage. One-stage algorithms are faster but less accurate, while two-stage algorithms are more accurate but slower. Convolutional Neural Networks (CNNs) have been successfully applied in precision agriculture for tasks such as counting wheat heads and maize tassels. TasselNet, a deep CNN, has been specifically designed for counting maize tassels in field-based environments, achieving high precision and adaptability.