In-field grape berries counting for yield estimation using dilated CNNs
Digital technologies ignited a revolution in the agrifood domain known as precision agriculture: a main question for enabling precision agriculture at scale is if accurate product quality control can be made available at minimal cost, leveraging existing technologies and agronomists' skills. As a contribution along this direction we demonstrate a tool for accurate fruit yield estimation from smartphone cameras, by adapting Deep Learning algorithms originally developed for crowd counting.
Code (0)
등록된 구현이 없습니다.
Tasks
Crowd CountingSimilar Papers 제목 키워드 기반
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
Yield estimation and forecasting are of special interest in the field of grapevine breeding and viticulture. The number of harvested berries per plant is strongly correlated with the resulting quality. Therefore, early y…
Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks
The need for accurate yield estimates for viticulture is becoming more important due to increasing competition in the wine market worldwide. One of the most promising methods to estimate the harvest is berry counting, as…
ViViD-5K: Vineyard vision dataset for field-based berry detection and segmentation and grape cluster closure estimation
Cluster closure, defined as the progressive filling of gaps between the berries in a grape bunch, is a key trait in vineyard management, impacting disease risk. However, traditional visual scoring methods are labor-inten…
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
The extraction of phenotypic traits is often very time and labour intensive. Especially the investigation in viticulture is restricted to an on-site analysis due to the perennial nature of grapevine. Traditionally skille…
Instance SegmentationSemantic SegmentationFinding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
Precision agriculture has become a key factor for increasing crop yields by providing essential information to decision makers. In this work, we present a deep learning method for simultaneous segmentation and counting o…
Segmentation