Factors influencing fruit cracking: an environmental and agronomic perspective
P La Spada, E Dominguez, A Continella… - Frontiers in Plant …, 2024 - frontiersin.org
Fruit cracking, a widespread physiological disorder affecting various fruit crops and
vegetables, has profound implications for fruit quality and marketability. This mini review …
vegetables, has profound implications for fruit quality and marketability. This mini review …
Opportunities and challenges in applying AI to evolutionary morphology
Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …
study of evolutionary morphology. While classical AI methods such as principal component …
Enhancing mosquito classification through self-supervised learning
R Charoenpanyakul, V Kittichai, S Eiamsamang… - Scientific Reports, 2024 - nature.com
Traditional mosquito identification methods, relied on microscopic observation and
morphological characteristics, often require significant expertise and experience, which can …
morphological characteristics, often require significant expertise and experience, which can …
Classifying forensically important flies using deep learning to support pathologists and rescue teams during forensic investigations
AK Gohe, MJ Kottek, R Buettner, P Penava - Plos one, 2024 - journals.plos.org
Forensic entomology can help estimate the postmortem interval in criminal investigations. In
particular, forensically important fly species that can be found on a body and in its …
particular, forensically important fly species that can be found on a body and in its …
Spatio-temporal characterization of phenotypic resistance in malaria vector species
EA Ibrahim, M Wamalwa, J Odindi, HEZ Tonnang - BMC biology, 2024 - Springer
Background Malaria, a deadly disease caused by Plasmodium protozoa parasite and
transmitted through bites of infected female Anopheles mosquitoes, remains a significant …
transmitted through bites of infected female Anopheles mosquitoes, remains a significant …
The utility of forewing geometric morphometrics for species discrimination in the caddisfly genus Xiphocentron (Trichoptera: Xiphocentronidae), with the description of …
Xiphocentron species are often distinguished only by subtle differences in genital structures,
and species are usually described with small type series not allowing the distinction of intra …
and species are usually described with small type series not allowing the distinction of intra …
Smart Farming and Precision Agriculture and Its Need in Today's World
S John, PJ Arul Leena Rose - Intelligent Robots and Drones for Precision …, 2024 - Springer
Smart farming and precision agriculture are two intertwined concepts that leverage
technology and data-driven methods to transform conventional farming practices. This …
technology and data-driven methods to transform conventional farming practices. This …
Sorting the mob: using geometric morphometrics and machine learning to differentiate kangaroo postcrania for zooarchaeological applications
E Mein, T Manne, P Veth, V Weisbecker - bioRxiv, 2024 - biorxiv.org
Taxonomic identification of bone is one of the building blocks of zooarchaeological research
into human foraging behaviour. However, it can prove difficult in regions, such as Australia …
into human foraging behaviour. However, it can prove difficult in regions, such as Australia …
[HTML][HTML] Classifying high-dimensional phenotypes with ensemble learning
Classification is a fundamental task in biology used to assign members to a class. While
linear discriminant functions have long been effective, advances in phenotypic data …
linear discriminant functions have long been effective, advances in phenotypic data …
Machine Vision Applied to Entomology
Abstract Machine vision has produced many helpful image processing techniques in several
fields, such as object detection, classification, and segmentation. Machine vision is an …
fields, such as object detection, classification, and segmentation. Machine vision is an …