Cyber-agricultural systems for crop breeding and sustainable production
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …
The synergy of synchrotron imaging and convolutional neural networks towards the detection of human micro-scale bone architecture and damage
The growing health and economic burden of bone fractures, their intricate multiscale
features and the existing knowledge gaps in the comprehension of micro-scale bone …
features and the existing knowledge gaps in the comprehension of micro-scale bone …
A global activated feature pyramid network for tiny pest detection in the wild
Small object detection techniques have been developed for decades, but one of key
remaining open challenges is detecting tiny objects in wild or nature scenes. While recent …
remaining open challenges is detecting tiny objects in wild or nature scenes. While recent …
[HTML][HTML] Data management challenges for artificial intelligence in plant and agricultural research
HF Williamson, J Brettschneider, M Caccamo… - …, 2021 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) is increasingly used within plant science, yet it is far from being
routinely and effectively implemented in this domain. Particularly relevant to the …
routinely and effectively implemented in this domain. Particularly relevant to the …
Deep learning models compression for agricultural plants
AN Fountsop, JL Ebongue Kedieng Fendji… - Applied Sciences, 2020 - mdpi.com
Deep learning has been successfully showing promising results in plant disease detection,
fruit counting, yield estimation, and gaining an increasing interest in agriculture. Deep …
fruit counting, yield estimation, and gaining an increasing interest in agriculture. Deep …
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Over the last decade, the use of unmanned aerial vehicles (UAVs) for plant phenotyping and
field crop monitoring has significantly evolved and expanded. These technologies have …
field crop monitoring has significantly evolved and expanded. These technologies have …
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Background Segmentation of structural parts of 3D models of plants is an important step for
plant phenotyping, especially for monitoring architectural and morphological traits. Current …
plant phenotyping, especially for monitoring architectural and morphological traits. Current …
Semantic segmentation for plant phenotyping using advanced deep learning pipelines
Large strides have been made in the field of semantic segmentation which finds its
application in extensive areas of research. However, these advancements have not been …
application in extensive areas of research. However, these advancements have not been …
Advanced Image Analysis Methods for Automated Segmentation of Subnuclear Chromatin Domains
P Johann to Berens, G Schivre, M Theune, J Peter… - Epigenomes, 2022 - mdpi.com
The combination of ever-increasing microscopy resolution with cytogenetical tools allows for
detailed analyses of nuclear functional partitioning. However, the need for reliable …
detailed analyses of nuclear functional partitioning. However, the need for reliable …
ULeaf-Net: Leaf segmentation network based on u-shaped symmetric encoder-decoder architecture
J Sun, J Zhao, Z Ding - 2021 International Symposium on …, 2021 - ieeexplore.ieee.org
The study of plant phenotypes can help improve crop yields in response to the planet's food
resources scarcity. Traditional approaches to plant phenotyping are destructive and require …
resources scarcity. Traditional approaches to plant phenotyping are destructive and require …