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 …
Machine learning applications for precision agriculture: A comprehensive review
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …
population, frequent changes in climatic conditions and limited resources, it becomes a …
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 …
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 …
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 …
[HTML][HTML] High-throughput phenotyping: Breaking through the bottleneck in future crop breeding
P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …
Comparison of object detection and patch-based classification deep learning models on mid-to late-season weed detection in UAV imagery
AN Veeranampalayam Sivakumar, J Li, S Scott… - Remote Sensing, 2020 - mdpi.com
Mid-to late-season weeds that escape from the routine early-season weed management
threaten agricultural production by creating a large number of seeds for several future …
threaten agricultural production by creating a large number of seeds for several future …
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 …
Deep neural networks to detect weeds from crops in agricultural environments in real-time: A review
Automation, including machine learning technologies, are becoming increasingly crucial in
agriculture to increase productivity. Machine vision is one of the most popular parts of …
agriculture to increase productivity. Machine vision is one of the most popular parts of …
Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep learning
In the face of increasing agricultural demands and environmental concerns, the effective
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …