Results 21 to 30 of about 334,320 (345)

A lightweight tri-modal few-shot detection framework for fruit diversity recognition toward digital orchard archiving [PDF]

Frontiers in Plant Science
Few-shot object detection (FSOD) addresses the challenge of object recognition under limited annotation conditions, offering practical advantages for smart agriculture, where large-scale labeling of diverse fruit cultivars is often infeasible.
Huaqiang Xu, Honghan Li, Ji Zhao
doaj   +2 more sources

Study on Qualitative Impact Damage of Loquats Using Hyperspectral Technology Coupled with Texture Features

Foods, 2022
Bruising is one of the main problems in the post-harvest grading and processing of ‘Zaozhong 6’ loquats, reducing the economic value of loquats, and even food quality and safety problems are caused by it.
Bin Li, Zhaoyang Han, Qiu Wang, Zhaoxiang Sun, Yande Liu   +4 more
doaj   +1 more source

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Sensors, 2021
The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harvesting process in greenhouses, the visual perception system needs to detect
Sandro Augusto Magalhães, Luís Castro, Germano Moreira, Filipe Neves dos Santos, Mário Cunha, Jorge Dias, António Paulo Moreira   +6 more
doaj   +1 more source

Detection storage time of mild bruise’s yellow peaches using the combined hyperspectral imaging and machine learning method

Journal of Analytical Science and Technology, 2022
To deduce the process of bruise and reduce the number of bruised fruits from the source, the storage time of yellow peaches after bruise should be identified.
Bin Li, Hai Yin, Yan-de Liu, Feng Zhang, A.-kun Yang, Cheng-tao Su, Ai-guo Ou-yang   +6 more
doaj   +1 more source

Research on anthracnose grade of Camellia oleifera based on the combined LIBS and THz technology

Plant Methods, 2022
Background Anthracnose of Camellia oleifera is a very destructive disease that commonly occurs in the Camellia oleifera industry, which severely restricts the development of the Camellia oleifera industry.
Li Bin, Wang Qiu, Zhan Chao-hui, Han Zhao-yang, Yin Hai, Liao Jun, Liu Yan-de   +6 more
doaj   +1 more source

Deep fruit detection in orchards [PDF]

2017 IEEE International Conference on Robotics and Automation (ICRA), 2017
An accurate and reliable image based fruit detection system is critical for supporting higher level agriculture tasks such as yield mapping and robotic harvesting. This paper presents the use of a state-of-the-art object detection framework, Faster R-CNN, in the context of fruit detection in orchards, including mangoes, almonds and apples.
Bargoti, Suchet, Underwood, James
openaire   +2 more sources

Identification of different parts of Panax notoginseng based on terahertz spectroscopy

Journal of Analytical Science and Technology, 2022
In this paper, the combined terahertz time-domain spectroscopy (THz-TDS) and chemometrics method is proposed to identify four different parts of Panax notoginseng rapidly and nondestructively.
Li Bin, Han Zhao-yang, Cai Hui-zhou, Yang A-kun, Ou Yang Ai-guo   +4 more
doaj   +1 more source

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

Agriculture, 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

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

Agronomy, 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, Jun Fu, Zhiqin Zhang, Jinliang Yin, Yuzhi Tan, Ting Yuan, Pengbo Wang   +6 more
doaj   +1 more source

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, Huamin Zhao, Olarewaju Mubashiru Lawal, Xinyuan Lu, Rui Ren, Shujuan Zhang   +5 more
doaj   +1 more source