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 …

Opportunities and challenges in applying AI to evolutionary morphology

Y He, JM Mulqueeney, EC Watt… - Integrative …, 2024 - academic.oup.com
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 …

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 …

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 …

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 …

The utility of forewing geometric morphometrics for species discrimination in the caddisfly genus Xiphocentron (Trichoptera: Xiphocentronidae), with the description of …

A Vilarino, JV Sganga, PC Bispo - Zoologischer Anzeiger, 2024 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Classifying high-dimensional phenotypes with ensemble learning

J Devine, HK Kurki, JR Epp, PN Gonzalez, P Claes… - bioRxiv, 2023 - ncbi.nlm.nih.gov
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 …

Machine Vision Applied to Entomology

GR Palma, CP Hackett, C Markham - Modelling Insect Populations in …, 2023 - Springer
Abstract Machine vision has produced many helpful image processing techniques in several
fields, such as object detection, classification, and segmentation. Machine vision is an …