Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: A review
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 …
food and environmental crises. Focusing on fruit detection, with the rapid development of …
Automation in agriculture by machine and deep learning techniques: A review of recent developments
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
intelligence techniques and robotic systems. Particularly, with the advancements in machine …
[HTML][HTML] Detection of Camellia oleifera Fruit in Complex Scenes by Using YOLOv7 and Data Augmentation
D Wu, S Jiang, E Zhao, Y Liu, H Zhu, W Wang… - Applied sciences, 2022 - mdpi.com
Rapid and accurate detection of Camellia oleifera fruit is beneficial to improve the picking
efficiency. However, detection faces new challenges because of the complex field …
efficiency. However, detection faces new challenges because of the complex field …
Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning
D Wang, D He - Biosystems Engineering, 2021 - Elsevier
Highlights•A method for rapid and accurate apple fruitlet detection before fruit thinning is
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …
[HTML][HTML] Automatic bunch detection in white grape varieties using YOLOv3, YOLOv4, and YOLOv5 deep learning algorithms
Over the last few years, several Convolutional Neural Networks for object detection have
been proposed, characterised by different accuracy and speed. In viticulture, yield …
been proposed, characterised by different accuracy and speed. In viticulture, yield …
Transforming unmanned pineapple picking with spatio-temporal convolutional neural networks
Automated pineapple harvesting has emerged as a prominent prospective development
within the agricultural domain. Nevertheless, the intricate growth conditions that pineapples …
within the agricultural domain. Nevertheless, the intricate growth conditions that pineapples …
[HTML][HTML] Review of weed detection methods based on computer vision
Z Wu, Y Chen, B Zhao, X Kang, Y Ding - Sensors, 2021 - mdpi.com
Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
Recognition and localization methods for vision-based fruit picking robots: A review
The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …
functionality, intelligence, and remote interactivity of harvesting robots in complex …
Intelligent robots for fruit harvesting: Recent developments and future challenges
Intelligent robots for fruit harvesting have been actively developed over the past decades to
bridge the increasing gap between feeding a rapidly growing population and limited labour …
bridge the increasing gap between feeding a rapidly growing population and limited labour …
Improved YOLOv8-Seg network for instance segmentation of healthy and diseased tomato plants in the growth stage
X Yue, K Qi, X Na, Y Zhang, Y Liu, C Liu - Agriculture, 2023 - mdpi.com
The spread of infections and rot are crucial factors in the decrease in tomato production.
Accurately segmenting the affected tomatoes in real-time can prevent the spread of …
Accurately segmenting the affected tomatoes in real-time can prevent the spread of …