Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
A survey of deep learning techniques for weed detection from images
The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …
localisation, and recognition of objects from images or videos. DL techniques are now being …
Review of weed detection methods based on computer vision
Z Wu, Y Chen, B Zhao, X Kang, Y Ding - Sensors, 2021 - mdpi.com
Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
Applications of deep learning in precision weed management: A review
Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
A review of deep learning in multiscale agricultural sensing
Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …
increasing pressure on global agricultural production. The challenge of increasing crop yield …
[HTML][HTML] Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
Conventional weed management approaches are inefficient and non-suitable for integration
with smart agricultural machinery. Automatic identification and classification of weeds can …
with smart agricultural machinery. Automatic identification and classification of weeds can …
Key technologies of machine vision for weeding robots: A review and benchmark
Y Li, Z Guo, F Shuang, M Zhang, X Li - Computers and Electronics in …, 2022 - Elsevier
Due to its obvious advantages in saving labor and pesticides, weeding robots are one of the
key technologies for modern and sustainable agriculture and have attracted increasing …
key technologies for modern and sustainable agriculture and have attracted increasing …
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
Precision weed management offers a promising solution for sustainable cropping systems
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …
Weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions
Site-specific weed management in Precision Agriculture is becoming a popular topic among
researchers and farmers. The objective of this study was to classify weeds and crop species …
researchers and farmers. The objective of this study was to classify weeds and crop species …
Plant image recognition with deep learning: A review
Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …
years using deep learning, which has significantly exceeded previous methods. Deep …