The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

Accurate count of fruits is important for producers to make adequate decisions in production
management. Although some algorithms based on machine vision have been developed to …

Agricultural applications such as yield prediction, precision agriculture and automated
harvesting need systems able to infer the crop state from low-cost sensing devices. Proximal …

Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …

Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …

Accurate fruit counting helps grape wine industry make better logistics and decisions before
harvest, and therefore produce higher quality wine. In view of poor real-time performance of …

This letter describes an end-to-end pipeline for tree diameter estimation based on semantic
segmentation and lidar odometry and mapping. Accurate mapping of this type of …

Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …

Fruit yield estimation is crucial for establishing fruit harvest and marketing strategies.
Recently, computer vision and deep learning techniques have been used to estimate citrus …