Cargando…

Weed Detection Using Deep Learning: A Systematic Literature Review

Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this problem has promoted the research community in ex...

Descripción completa

Detalles Bibliográficos
Autores principales:	Murad, Nafeesa Yousuf, Mahmood, Tariq, Forkan, Abdur Rahim Mohammad, Morshed, Ahsan, Jayaraman, Prem Prakash, Siddiqui, Muhammad Shoaib
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098587/ https://www.ncbi.nlm.nih.gov/pubmed/37050730 http://dx.doi.org/10.3390/s23073670

Ejemplares similares

A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes
por: Joachim, Shane, et al.
Publicado: (2022)

Investigation of Intervention Solutions to Enhance Adherence to Oral Anticancer Medicines in Adults: Overview of Reviews
por: Dang, Thu Ha, et al.
Publicado: (2022)

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
por: Olsen, Alex, et al.
Publicado: (2019)

Weed25: A deep learning dataset for weed identification
por: Wang, Pei, et al.
Publicado: (2022)

Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt
por: Jayaraman, Prem Prakash, et al.
Publicado: (2016)

Development of a person-centred digital platform for the long-term support of people living with an adult-onset genetic disease predisposition: a mixed-methods study protocol
por: Best, Stephanie, et al.
Publicado: (2023)

Towards deep learning based smart farming for intelligent weeds management in crops
por: Saqib, Muhammad Ali, et al.
Publicado: (2023)

Deep learning for detecting herbicide weed control spectrum in turfgrass
por: Jin, Xiaojun, et al.
Publicado: (2022)

Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network
por: Yu, Jialin, et al.
Publicado: (2019)

Optimizing the Fabric Architecture and Effect of γ-Radiation on the Mechanical Properties of Jute Fiber Reinforced Polyester Composites
por: Azim, Abu Yousuf Mohammad Anwarul, et al.
Publicado: (2022)

Efficacy of Metribuzin Doses on Physiological, Growth, and Yield Characteristics of Wheat and Its Associated Weeds
por: Javaid, Muhammad Mansoor, et al.
Publicado: (2022)

Multi-Modal Deep Learning for Weeds Detection in Wheat Field Based on RGB-D Images
por: Xu, Ke, et al.
Publicado: (2021)

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
por: Elstone, Lydia, et al.
Publicado: (2020)

Weeds
por: Valdiserri, Ronald O.
Publicado: (2006)

The impact of different weed management strategies on weed flora of wheat-based cropping systems
por: Shahzad, Muhammad, et al.
Publicado: (2021)

Weed Classification from Natural Corn Field-Multi-Plant Images Based on Shallow and Deep Learning
por: Garibaldi-Márquez, Francisco, et al.
Publicado: (2022)

Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton
por: Sapkota, Bishwa B., et al.
Publicado: (2022)

Machine learning and deep learning approaches in IoT
por: Javed, Abqa, et al.
Publicado: (2023)

Predict bean production according to bean growth, root rots, fly and weed development under different planting dates and weed control treatments
por: Nazer Kakhki, Seyed Hossein, et al.
Publicado: (2022)

Identification of Weed-Suppressive Tomato Cultivars for Weed Management
por: Werle, Isabel Schlegel, et al.
Publicado: (2022)

Endophytic Fusarium oxysporum GW controlling weed and an effective biostimulant for wheat growth
por: Asim, Syed, et al.
Publicado: (2022)

Deep learning
por: Khan, Murad, et al.
Publicado: (2019)

Identification of Weeds Based on Hyperspectral Imaging and Machine Learning
por: Li, Yanjie, et al.
Publicado: (2021)

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models
por: Munir, Mohsin, et al.
Publicado: (2019)

The weed cookbook
por: Crowhurst, Adrienne
Publicado: (1972)

IS IT A WEED?
por: Gopal, G.V.
Publicado: (1984)

Communal weeding
por: Grant, Murray, et al.
Publicado: (2000)

The Rag Weed
Publicado: (1886)

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
por: Teimouri, Nima, et al.
Publicado: (2018)

Can Global Weed Assemblages Be Used to Predict Future Weeds?
por: Morin, Louise, et al.
Publicado: (2013)

Physiological and biochemical responses of selected weed and crop species to the plant-based bioherbicide WeedLock
por: Hasan, Mahmudul, et al.
Publicado: (2022)

Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
por: Yaqub, Muhammad, et al.
Publicado: (2022)

DeepMoney: counterfeit money detection using generative adversarial networks
por: Ali, Toqeer, et al.
Publicado: (2019)

COVID-19 Detection Mechanism in Vehicles Using a Deep Extreme Machine Learning Approach
por: Fatima, Areej, et al.
Publicado: (2023)

Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
por: Dadashzadeh, Mojtaba, et al.
Publicado: (2020)

Skin Cancer Detection: A Review Using Deep Learning Techniques
por: Dildar, Mehwish, et al.
Publicado: (2021)

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
por: Bajwa, Muhammad Naseer, et al.
Publicado: (2019)

Influence of Sowing Time and Weed Management Practices on the Performance and Weed Dynamics of Direct Drum Seeded Rice
por: Mir, Mohd Salim, et al.
Publicado: (2023)

Blockchain for deep learning: review and open challenges
por: Shafay, Muhammad, et al.
Publicado: (2022)

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
por: Shoaib, Muhammad, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_f42cv1bup655q5s3607mgtkd2b