Weed density and distribution estimation for precision agriculture using semi-supervised learning
S Shorewala, A Ashfaque, R Sidharth, U Verma - IEEE access, 2021 - ieeexplore.ieee.org
Uncontrolled growth of weeds can severely affect the crop yield and quality. Unrestricted use
of herbicide for weed removal alters biodiversity and cause environmental pollution. Instead …
of herbicide for weed removal alters biodiversity and cause environmental pollution. Instead …
DeepRivWidth: Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka
River width is an essential parameter for studying the river's hydrological process and has
been widely used to estimate the river discharge. The existing approaches to measuring …
been widely used to estimate the river discharge. The existing approaches to measuring …
Uvid-net: Enhanced semantic segmentation of uav aerial videos by embedding temporal information
Semantic segmentation of aerial videos has been extensively used for decision making in
monitoring environmental changes, urban planning, and disaster management. The …
monitoring environmental changes, urban planning, and disaster management. The …
A lightweight deep learning architecture for vegetation segmentation using UAV-captured aerial images
The unmanned aerial vehicle (UAV)-captured panoptic remote sensing images have great
potential to promote robotics-inspired intelligent solutions for land cover mapping, disaster …
potential to promote robotics-inspired intelligent solutions for land cover mapping, disaster …
Efficient vehicle counting by eliminating identical vehicles in uav aerial videos
Traffic surveillance using Unmanned Aerial Vehicles (UAVs) has gained a lot of attraction in
civilian applications and remote sensing tasks. Thanks to its high mobility and large field of …
civilian applications and remote sensing tasks. Thanks to its high mobility and large field of …
TomatoDIFF: On–plant Tomato Segmentation with Denoising Diffusion Models *
Artificial intelligence applications enable farmers to optimize crop growth and production
while reducing costs and environmental impact. Computer vision-based algorithms in …
while reducing costs and environmental impact. Computer vision-based algorithms in …
Computer vision based fish tracking and behaviour detection system
Computer vision-based technologies can be effectively adopted to enhance the
performance and productivity of aquaculture industries. Application of these technologies …
performance and productivity of aquaculture industries. Application of these technologies …
[PDF][PDF] Classification & grading of tomatoes using image processing techniques
This examination manages the programmed arrangement and reviewing of tomatoes
utilizing picture-preparing systems. Mostly tomatoes are of three assortments for example …
utilizing picture-preparing systems. Mostly tomatoes are of three assortments for example …
Lstm-based prediction of water quality parameters system in backwaters
Aquaculture provides food security, self-employment, and a sustainable source of income. At
the same time, risks involved is very high as the fishermen practice traditional approaches to …
the same time, risks involved is very high as the fishermen practice traditional approaches to …
Semantic segmentation of uav videos based on temporal smoothness in conditional random fields
Video semantic segmentation is increasingly becoming a vital factor in many Unmanned
Aerial Vehicle (UAV) drone-based applications such as surveillance, scene understanding …
Aerial Vehicle (UAV) drone-based applications such as surveillance, scene understanding …