Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Sebastian Kujawa & Gniewko Niedbała, 2021. "Artificial Neural Networks in Agriculture," Agriculture, MDPI, vol. 11(6), pages 1-6, May.
- Nahina Islam & Md Mamunur Rashid & Santoso Wibowo & Cheng-Yuan Xu & Ahsan Morshed & Saleh A. Wasimi & Steven Moore & Sk Mostafizur Rahman, 2021. "Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm," Agriculture, MDPI, vol. 11(5), pages 1-13, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Pei-Yao Su & Zi-Ying Zhao & Qi-Gan Shao & Pei-Yuan Lin & Zhe Li, 2023. "The Construction of an Evaluation Index System for Assistive Teaching Robots Aimed at Sustainable Learning," Sustainability, MDPI, vol. 15(17), pages 1-24, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- El-Sayed M. El-Kenawy & Nima Khodadadi & Seyedali Mirjalili & Tatiana Makarovskikh & Mostafa Abotaleb & Faten Khalid Karim & Hend K. Alkahtani & Abdelaziz A. Abdelhamid & Marwa M. Eid & Takahiko Horiu, 2022. "Metaheuristic Optimization for Improving Weed Detection in Wheat Images Captured by Drones," Mathematics, MDPI, vol. 10(23), pages 1-30, November.
- Marek Gaworski & Piotr F. Borowski & Łukasz Kozioł, 2022. "Supporting Decision-Making in the Technical Equipment Selection Process by the Method of Contradictory Evaluations," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
- Benjamin Costello & Olusegun O. Osunkoya & Juan Sandino & William Marinic & Peter Trotter & Boyang Shi & Felipe Gonzalez & Kunjithapatham Dhileepan, 2022. "Detection of Parthenium Weed ( Parthenium hysterophorus L.) and Its Growth Stages Using Artificial Intelligence," Agriculture, MDPI, vol. 12(11), pages 1-23, November.
- Vasileios Moysiadis & Georgios Kokkonis & Stamatia Bibi & Ioannis Moscholios & Nikolaos Maropoulos & Panagiotis Sarigiannidis, 2023. "Monitoring Mushroom Growth with Machine Learning," Agriculture, MDPI, vol. 13(1), pages 1-17, January.
- Xianguo Ren & Haiqing Tian & Kai Zhao & Dapeng Li & Ziqing Xiao & Yang Yu & Fei Liu, 2022. "Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
- Campos, Jean C. & Manrique-Silupú, José & Dorneanu, Bogdan & Ipanaqué, William & Arellano-García, Harvey, 2022. "A smart decision framework for the prediction of thrips incidence in organic banana crops," Ecological Modelling, Elsevier, vol. 473(C).
- Bonfiglio, A. & Camaioni, B. & Carta, V. & Cristiano, S., 2023. "Estimating the common agricultural policy milestones and targets by neural networks," Evaluation and Program Planning, Elsevier, vol. 99(C).
- Piotr Boniecki & Agnieszka Sujak & Gniewko Niedbała & Hanna Piekarska-Boniecka & Agnieszka Wawrzyniak & Andrzej Przybylak, 2023. "Neural Modelling from the Perspective of Selected Statistical Methods on Examples of Agricultural Applications," Agriculture, MDPI, vol. 13(4), pages 1-19, March.
- Dominika Sieracka & Maciej Zaborowicz & Jakub Frankowski, 2023. "Identification of Characteristic Parameters in Seed Yielding of Selected Varieties of Industrial Hemp ( Cannabis sativa L.) Using Artificial Intelligence Methods," Agriculture, MDPI, vol. 13(5), pages 1-11, May.
- Awe, Olushina Olawale & Dias, Ronaldo, 2022. "Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.
- Benjamin T. Fraser & Christine L. Bunyon & Sarah Reny & Isabelle Sophia Lopez & Russell G. Congalton, 2022. "Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review," Geographies, MDPI, vol. 2(2), pages 1-38, June.
- Sidrah Mumtaz & Mudassar Raza & Ofonime Dominic Okon & Saeed Ur Rehman & Adham E. Ragab & Hafiz Tayyab Rauf, 2023. "A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging," Agriculture, MDPI, vol. 13(3), pages 1-22, March.
- Xinle Zhang & Jian Cui & Huanjun Liu & Yongqi Han & Hongfu Ai & Chang Dong & Jiaru Zhang & Yunxiang Chu, 2023. "Weed Identification in Soybean Seedling Stage Based on Optimized Faster R-CNN Algorithm," Agriculture, MDPI, vol. 13(1), pages 1-16, January.
- Sebastian C. Ibañez & Christopher P. Monterola, 2023. "A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers," Agriculture, MDPI, vol. 13(9), pages 1-27, September.
- Chun-Ming Xu & Jia-Shuai Zhang & Ling-Qiang Kong & Xue-Bo Jin & Jian-Lei Kong & Yu-Ting Bai & Ting-Li Su & Hui-Jun Ma & Prasun Chakrabarti, 2022. "Prediction Model of Wastewater Pollutant Indicators Based on Combined Normalized Codec," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
- Haotian Pei & Youqiang Sun & He Huang & Wei Zhang & Jiajia Sheng & Zhiying Zhang, 2022. "Weed Detection in Maize Fields by UAV Images Based on Crop Row Preprocessing and Improved YOLOv4," Agriculture, MDPI, vol. 12(7), pages 1-18, July.
- Nur Adibah Mohidem & Nik Norasma Che’Ya & Abdul Shukor Juraimi & Wan Fazilah Fazlil Ilahi & Muhammad Huzaifah Mohd Roslim & Nursyazyla Sulaiman & Mohammadmehdi Saberioon & Nisfariza Mohd Noor, 2021. "How Can Unmanned Aerial Vehicles Be Used for Detecting Weeds in Agricultural Fields?," Agriculture, MDPI, vol. 11(10), pages 1-27, October.
- Mohammed Aljebreen & Hanan Abdullah Mengash & Fadoua Kouki & Abdelwahed Motwakel, 2023. "Improved Artificial Ecosystem Optimizer with Deep-Learning-Based Insect Detection and Classification for Agricultural Sector," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
More about this item
Keywords
weed herbicide resistance; robotics; smart agriculture; artificial intelligent; remote sensing; digital technologies; machine vision;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1843-:d:1039781. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.