A review on weed detection using ground-based machine vision and image processing techniques
A Wang, W Zhang, X Wei - Computers and electronics in agriculture, 2019 - Elsevier
Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …
electronic and information technologies, machine vision combined with image processing …
Weed detection for site‐specific weed management: map** and real‐time approaches
F López‐Granados - Weed Research, 2011 - Wiley Online Library
López‐Granados F (2011). Weed detection for site‐specific weed management: map**
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …
Weed map** in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images
The use of remote imagery captured by unmanned aerial vehicles (UAV) has tremendous
potential for designing detailed site-specific weed control treatments in early post …
potential for designing detailed site-specific weed control treatments in early post …
Automatic segmentation of relevant textures in agricultural images
One important issue emerging strongly in agriculture is related with the automatization of
tasks, where the optical sensors play an important role. They provide images that must be …
tasks, where the optical sensors play an important role. They provide images that must be …
[PDF][PDF] Applications of image processing in agriculture: a survey
A Vibhute, SK Bodhe - International Journal of Computer …, 2012 - academia.edu
Image processing has been proved to be effective tool for analysis in various fields and
applications. Agriculture sector where the parameters like canopy, yield, quality of product …
applications. Agriculture sector where the parameters like canopy, yield, quality of product …
Support vector machines for crop/weeds identification in maize fields
In Precision Agriculture (PA) automatic image segmentation for plant identification is an
important issue to be addressed. Emerging technologies in optical imaging sensors play an …
important issue to be addressed. Emerging technologies in optical imaging sensors play an …
Is the current state of the art of weed monitoring suitable for site‐specific weed management in arable crops?
Weed monitoring is the first step in any site‐specific weed management programme. A
relatively large variety of platforms, cameras, sensors and image analysis procedures are …
relatively large variety of platforms, cameras, sensors and image analysis procedures are …
Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure
Image processing technology has gained considerable attention in agricultural proximal
sensing applications, including plant disease detection, vegetation fraction estimation …
sensing applications, including plant disease detection, vegetation fraction estimation …
Automatic detection of crop rows in maize fields with high weeds pressure
This paper proposes a new method, oriented to crop row detection in images from maize
fields with high weed pressure. The vision system is designed to be installed onboard a …
fields with high weed pressure. The vision system is designed to be installed onboard a …
Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques
Weed detection and classification are considered one of the most vital tools in identifying
and recognizing plants in agricultural fields. Recently, machine learning techniques have …
and recognizing plants in agricultural fields. Recently, machine learning techniques have …