Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality

Articles citing this paper

Weed recognition using deep learning techniques on class-imbalanced imagery

A. S. M. Mahmudul Hasan https://orcid.org/0000-0002-6400-6626 A B , Ferdous Sohel https://orcid.org/0000-0003-1557-4907 A B * , Dean Diepeveen B C , Hamid Laga A D and Michael G. K. Jones https://orcid.org/0000-0001-5002-0227 B
+ Author Affiliations
- Author Affiliations

A Information Technology, Murdoch University, Murdoch, WA 6150, Australia.

B Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia.

C Department of Primary Industries and Regional Development, South Perth, WA 6151, Australia.

D Centre of Biosecurity and One Health, Harry Butler Institute, Murdoch University, Murdoch University, Murdoch, WA 6150, Australia.

* Correspondence to: F.Sohel@murdoch.edu.au

Handling Editor: Davide Cammarano

Crop & Pasture Science 74(6) 628-644 https://doi.org/10.1071/CP21626
Submitted: 9 August 2021  Accepted: 9 December 2021   Published: 11 April 2022



12 articles found in Crossref database.

Machine learning-based detection of frost events in wheat plants from infrared thermography
Shammi Sayma, Sohel Ferdous, Diepeveen Dean, Zander Sebastian, Jones Michael G.K.
European Journal of Agronomy. 2023 149 p.126900
Real Time Deep Learning Algorithm for Counting Weed’s Growth Stages
2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS) (2023)
Almalky Abeer M., Ahmed Khaled R.
A self-supervised overlapped multiple weed and crop leaf segmentation approach under complex light condition
Mishra Anand Muni, Kaur Prabhjot, Singh Mukund Pratap, Singh Santar Pal
Multimedia Tools and Applications. 2024
Deep Network with Score Level Fusion and Inference-Based Transfer Learning to Recognize Leaf Blight and Fruit Rot Diseases of Eggplant
Haque Md. Reduanul, Sohel Ferdous
Agriculture. 2022 12(8). p.1160
Application of Convolutional Neural Networks in Weed Detection and Identification: A Systematic Review
García-Navarrete Oscar Leonardo, Correa-Guimaraes Adriana, Navas-Gracia Luis Manuel
Agriculture. 2024 14(4). p.568
Deep Learning for Detecting and Classifying the Growth Stages of Consolida regalis Weeds on Fields
Almalky Abeer M., Ahmed Khaled R.
Agronomy. 2023 13(3). p.934
Multi-layered CNN Architecture for Assistance in Smart Farming
2023 International Conference on Inventive Computation Technologies (ICICT) (2023)
Murthy G.L.N., Shaik Baji Baba, Reddy Ch Uday, Rao V Manikanteswara
Method of Peanut Pod Quality Detection Based on Improved ResNet
Yang Lili, Wang Changlong, Yu Jianfeng, Xu Nan, Wang Dongwei
Agriculture. 2023 13(7). p.1352
Tracking the diverse pathways to value for digital agriculture
Cook Simon, Cammarano Davide
Crop & Pasture Science. 2023 74(6). p.507
Pre-trained Deep Learning Models for UAV-based Weed Recognition
2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) (2023)
Mekhalfa Faiza, Yacef Fouad, Belhocine Mahmoud
Augmentation Method for High Intra-Class Variation Data in Apple Detection
Li Huibin, Guo Wei, Lu Guowen, Shi Yun
Sensors. 2022 22(17). p.6325
Image patch-based deep learning approach for crop and weed recognition
Hasan A S M Mahmudul, Diepeveen Dean, Laga Hamid, Jones Michael G.K., Sohel Ferdous
Ecological Informatics. 2023 78 p.102361

Committee on Publication Ethics

Abstract Full Text PDF (4.7 MB) Export Citation Get Permission

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email