2022/02/23 by Christian Wilms, Robert E. Johanson, Wilms, Christian +3 · 1 citation
Agricultural and Biological Sciences · Environmental Science · #Artificial intelligence #Biology #Computer Vision and Pattern Recognition (cs.CV) #Computer graphics (images) #Computer science #Computer vision #FOS: Computer and information sciences #Horticultural and Viticultural Research #Horticulture #Object (grammar) #Orchard #Remote Sensing and LiDAR Applications #Smart Agriculture and AI #Yield (engineering)
paper · pdf · doi:10.48550/arxiv.2202.11372
openalex publication_date 2022/02/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The localization of fruits is an essential first step in automated agricultural pipelines for yield estimation or fruit picking. One example of this is the localization of apples in images of entire apple trees. Since the apples are very small objects in such scenarios, we tackle this problem by adapting the object proposal generation system AttentionMask that focuses on small objects. We adapt AttentionMask by either adding a new module for very small apples or integrating it into a tiling framework. Both approaches clearly outperform standard object proposal generation systems on the MinneApple dataset covering complex apple orchard environments. Our evaluation further analyses the improvement w.r.t. the apple sizes and shows the different characteristics of our two approaches.