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 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 …
Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …
to support productivity increases while minimizing inputs and the adverse effects of climate …
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
A comprehensive review of high throughput phenotyping and machine learning for plant stress phenotyping
T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …
A survey of image processing techniques for plant extraction and segmentation in the field
In this review, we present a comprehensive and critical survey on image-based plant
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
UAV-based crop and weed classification for smart farming
Unmanned aerial vehicles (UAVs) and other robots in smart farming applications offer the
potential to monitor farm land on a per-plant basis, which in turn can reduce the amount of …
potential to monitor farm land on a per-plant basis, which in turn can reduce the amount of …
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
The ability to automatically monitor agricultural fields is an important capability in precision
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …
farming, enabling steps towards more sustainable agriculture. Precise, high-resolution …
Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
Mapping vegetation in crop fields is an important step in remote sensing applications for
precision agriculture. Traditional aerial platforms such as planes and satellites are not …
precision agriculture. Traditional aerial platforms such as planes and satellites are not …
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer
Controlling weed infestation through chemicals (herbicides & pesticides) is essential for crop
yield. However, excessive use of these chemicals has caused severe agronomic and …
yield. However, excessive use of these chemicals has caused severe agronomic and …