Fruit Detection and Counting in Apple Orchards Based on Improved Yolov7 and Multi-Object Tracking Methods. [PDF]
Sensors (Basel), 2023 With the increasing popularity of online fruit sales, accurately predicting fruit yields has become crucial for optimizing logistics and storage strategies.
Hu J, Fan C, Wang Z, Ruan J, Wu S.
europepmc +2 more sources
Tomato Fruit Detection Using Modified Yolov5m Model with Convolutional Neural Networks. [PDF]
Plants (Basel), 2023 The farming industry is facing the major challenge of intensive and inefficient harvesting labors. Thus, an efficient and automated fruit harvesting system is required.
Tsai FT +4 more
europepmc +2 more sources
YOLO-Granada: a lightweight attentioned Yolo for pomegranates fruit detection. [PDF]
Sci RepPomegranate is an important fruit crop that is usually managed manually through experience. Intelligent management systems for pomegranate orchards can improve yields and address labor shortages.
Zhao J +8 more
europepmc +2 more sources
An Automatic Jujube Fruit Detection and Ripeness Inspection Method in the Natural Environment
Agronomy, 2023 The ripeness phases of jujube fruits are one factor mitigating against fruit detection, in addition to uneven environmental conditions such as illumination variation, leaf occlusion, overlapping fruits, colors or brightness, similar plant appearance to ...
Defang Xu +5 more
doaj +2 more sources
Green Fruit Detection with a Small Dataset under a Similar Color Background Based on the Improved YOLOv5-AT. [PDF]
FoodsGreen fruit detection is of great significance for estimating orchard yield and the allocation of water and fertilizer. However, due to the similar colors of green fruit and the background of images, the complexity of backgrounds and the difficulty in ...
Fu X +7 more
europepmc +2 more sources
Deep-learning-based in-field citrus fruit detection and tracking. [PDF]
Hortic Res, 2022 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 fruit yield and have exhibited notable fruit detection ability.
Zhang W +8 more
europepmc +2 more sources
Citrus green fruit detection via improved feature network extraction. [PDF]
Front Plant Sci, 2022 Introduction It is crucial to accurately determine the green fruit stage of citrus and formulate detailed fruit conservation and flower thinning plans to increase the yield of citrus. However, the color of citrus green fruits is similar to the background,
Lu J +8 more
europepmc +2 more sources
Dragon fruit detection in natural orchard environment by integrating lightweight network and attention mechanism. [PDF]
Front Plant Sci, 2022 An improved lightweight network (Improved YOLOv5s) was proposed based on YOLOv5s in this study to realise all-weather detection of dragon fruit in a complex orchard environment.
Zhang B +6 more
europepmc +2 more sources
CitDet: A Benchmark Dataset for Citrus Fruit Detection [PDF]
arXiv, 2023 In this letter, we present a new dataset to advance the state of the art in detecting citrus fruit and accurately estimate yield on trees affected by the Huanglongbing (HLB) disease in orchard environments via imaging. Despite the fact that significant progress has been made in solving the fruit detection problem, the lack of publicly available ...
Jordan A. James +5 more
arxiv +3 more sources
L*a*b*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks [PDF]
Sensors, 2020 Automation of agricultural processes requires systems that can accurately detect and classify produce in real industrial environments that include variation in fruit appearance due to illumination, occlusion, seasons, weather conditions, etc.
Raymond Kirk +2 more
doaj +2 more sources