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In recent years, the agricultural industry has witnessed significant advancements in artificial intelligence (AI), particularly with the development of large-scale foundational models.
Segmentation in thermography images for bearing defect analysis in induction motors
Emmanuel Resendiz-Ochoa, Roque A Osornio-Rios, Juan P Benitez-Rangel, Luis A Morales-Hernandez, and Rene de J Romero-Troncoso · 2017
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Thai fast food image classification using deep learning
Narit Hnoohom and Sumeth Yuenyong · 2018
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Monitoring chicken heat stress using deep convolutional neural networks
Chen-Yi Lin, Kuang-Wen Hsieh, Yao-Chuan Tsai, and Yan-Fu Kuo · 2018
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Applications of artificial intelligence in agriculture: A review
Ngozi Clara Eli-Chukwu · 2019
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Exploring iot based broiler chicken management technology
Shigeru Ichiura, Tomohiro Mori, KI Horiguchi, and Mitsuhiko Katahira · 2019
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Search-based configuration planning and motion control algorithms for a snake-like robot performing load-intensive operations
Xiaolong Wang, Matthew Bilsky, and Subhrajit Bhattacharya · 2021
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Yolox: Exceeding yolo series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 2021
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Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
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A multisource data approach for estimating vehicle queue length at metered on-ramps
Xiaoling Luo, Xiaobo Ma, Matthew Munden, Yao-Jan Wu, and Yangsheng Jiang · 2022
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A deep learning model for detecting cage-free hens on the litter floor
Xiao Yang, Lilong Chai, Ramesh Bahadur Bist, Sachin Subedi, and Zihao Wu · 2022
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Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
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Setr-yolov5n: A lightweight low-light lane curvature detection method based on fractional-order fusion model
Yang Liu, Yongfu Wang, Yang Li, Qiansheng Li, and Jian Wang · 2022
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Learning hand kinematics for parkinson’s disease assessment using a multimodal sensor glove
Yu Li, Junyi Yin, Shuoyan Liu, Bing Xue, Cyrus Shokoohi, Gang Ge, Menglei Hu, Tenghuan Li, Xue Tao, Zhi Rao, et al · 2023
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Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, et al · 2023
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Semantic scene understanding with large language models on unmanned aerial vehicles
J de Curtò, I de Zarzà, and Carlos T Calafate · 2023
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Can large language models design a robot?
Francesco Stella, Cosimo Della Santina, and Josie Hughes · 2023
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chatipcc: Grounding conversational ai in climate science
Saeid Ashraf Vaghefi, Qian Wang, Veruska Muccione, Jingwei Ni, Mathias Kraus, Julia Bingler, Tobias Schimanski, Chiara Colesanti-Senni, Nicolas Webersinke, Christrian Huggel, et al · 2023
An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning
Xiao Yang, Ramesh Bist, Sachin Subedi, Zihao Wu, Tianming Liu, and Lilong Chai · 2023
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Mislaying behavior detection in cage-free hens with deep learning technologies
Ramesh Bahadur Bist, Xiao Yang, Sachin Subedi, and Lilong Chai · 2023
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Feather damage monitoring system using rgb-depth-thermal model for chickens
Xiaomin Zhang, Yanning Zhang, Jinfeng Geng, Jinming Pan, Xinyao Huang, and Xiuqin Rao · 2023
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Segment anything in non-euclidean domains: Challenges and opportunities
Yongcheng Jing, Xinchao Wang, and Dacheng Tao · 2023
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Junzhang Chen and Xiangzhi Bai · 2023
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Self-supervised image denoising for real-world images with context-aware transformer
Dan Zhang and Fangfang Zhou · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Segment anything is not always perfect: An investigation of sam on different real-world applications
Wei Ji, Jingjing Li, Qi Bi, Wenbo Li, and Li Cheng · 2023
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Can sam segment anything? when sam meets camouflaged object detection
Lv Tang, Haoke Xiao, and Bo Li · 2023
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Sam fails to segment anything?–sam-adaptor: Adapting sam in underperformed scenes
Tianrun Chen, Lanyun Zhu, Chaotao Ding, Runlong Cao, Shangzhan Zhang, Yan Wang, Papa Mao, and Ying Zang · 2023
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Tracking pecking behaviors and damages of cage-free laying hens with machine vision technologies
Sachin Subedi, Ramesh Bist, Xiao Yang, and Lilong Chai · 2023
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A deep learning method for monitoring spatial distribution of cage-free hens
Xiao Yang, Ramesh Bist, Sachin Subedi, and Lilong Chai · 2023
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Application of segment anything model for civil infrastructure defect assessment
Mohsen Ahmadi, Ahmad Gholizadeh Lonbar, Abbas Sharifi, Ali Tarlani Beris, Mohammadsadegh Nouri, and Amir Sharifzadeh Javidi · 2023
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Tomato cluster detection and counting using improved yolov5 based on rgb-d fusion
Jiacheng Rong, Hui Zhou, Fan Zhang, Ting Yuan, and Pengbo Wang · 2023
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Retinamot: rethinking anchor-free yolov5 for online multiple object tracking
Jie Cao, Jianxun Zhang, Bowen Li, Linfeng Gao, and Jie Zhang · 2023
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A machine learning-based positioning method for poultry in cage environments
Hao Xue, Lihua Li, Peng Wen, and Meng Zhang · 2023
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Instruction-vit: Multi-modal prompts for instruction learning in vit
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, et al · 2023
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Seggpt: Segmenting everything in context
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, and Tiejun Huang · 2023
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