Results 41 to 50 of about 5,054,025 (372)

Apple appearance quality classification method based on double branch feature fusion network

open access: yesCognitive Computation and Systems, 2022
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

Application of Convolutional Neural Network-Based Detection Methods in Fresh Fruit Production: A Comprehensive Review

open access: yesFrontiers in Plant Science, 2022
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
doaj   +1 more source

Apple (Malus domestica) and pear (Pyrus communis) yield prediction after tree image analysis

open access: yesRevista de la Facultad de Ciencias Agrarias, 2023
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
doaj   +1 more source

GCS-YOLOV4-Tiny: A lightweight group convolution network for multi-stage fruit detection.

open access: yesMathematical biosciences and engineering : MBE, 2023
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

open access: yesActa Technologica Agriculturae, 2023
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

Development and Evaluation of a Watermelon-Harvesting Robot Prototype: Vision System and End-Effector

open access: yesAgronomy, 2022
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

Real-Time Recognition and Localization of Apples for Robotic Picking Based on Structural Light and Deep Learning

open access: yesSmart Cities, 2023
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
doaj   +1 more source

Ethylene detection in fruit supply chains [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2014
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

open access: yesToxins, 2022
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

Tomato Young Fruits Detection Method under Near Color Background Based on Improved Faster R-CNN with Attention Mechanism

open access: yesAgriculture, 2021
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

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