Results 41 to 50 of about 5,054,025 (372)
Apple appearance quality classification method based on double branch feature fusion network
This paper carried out a classification study on the quality of different types of apples. In order to achieve a high‐precision classification of high‐quality apples in various dimensions, shorten the classification time, improve efficiency, and make it ...
Ji‐zhe Yin+5 more
doaj +1 more source
As one of the representative algorithms of deep learning, a convolutional neural network (CNN) with the advantage of local perception and parameter sharing has been rapidly developed. CNN-based detection technology has been widely used in computer vision,
Chenglin Wang+9 more
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Apple (Malus domestica) and pear (Pyrus communis) yield prediction after tree image analysis
Yield forecasting depends on accurate tree fruit counts and mean size estimation. This information is generally obtained manually, requiring many hours of work.
Dolores del Brio+4 more
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GCS-YOLOV4-Tiny: A lightweight group convolution network for multi-stage fruit detection.
Fruits require different planting techniques at different growth stages. Traditionally, the maturity stage of fruit is judged visually, which is time-consuming and labor-intensive.
Mei-Ling Huang, Yi-shan Wu
semanticscholar +1 more source
A Real-Time Olive Fruit Detection for Harvesting Robot Based on YOLO Algorithms
Deep neural network models have become powerful tools of machine learning and artificial intelligence. They can approximate functions and dynamics by learning from examples.
A. Aljaafreh+6 more
semanticscholar +1 more source
Over the past decade, there have been increasing attempts to integrate robotic harvesting technology into agricultural scenarios to reduce growing labour costs and increase crop yields.
Jiacheng Rong+6 more
doaj +1 more source
The apple is a delicious fruit with high nutritional value that is widely grown around the world. Apples are traditionally picked by hand, which is very inefficient.
Quan Zhang, Wen-Hao Su
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Ethylene detection in fruit supply chains [PDF]
Ethylene is a gaseous ripening phytohormone of fruits and plants. Presently, ethylene is primarily measured with stationary equipment in laboratories. Applyingin situmeasurement at the point of natural ethylene generation has been hampered by the lack of portable units designed to detect ethylene at necessary resolutions of a few parts per billion ...
Jürgen Wöllenstein+6 more
openaire +4 more sources
Contamination, Detection and Control of Mycotoxins in Fruits and Vegetables
Mycotoxins are secondary metabolites produced by pathogenic fungi that colonize fruits and vegetables either during harvesting or during storage. Mycotoxin contamination in fruits and vegetables has been a major problem worldwide, which poses a serious threat to human and animal health through the food chain.
Mina Nan, Huali Xue, Yang Bi
openaire +3 more sources
The information of tomato young fruits acquisition has an important impact on monitoring fruit growth, early control of pests and diseases and yield estimation.
Peng Wang, Tong Niu, Dongjian He
doaj +1 more source