Results 111 to 120 of about 31,065 (245)
This research outlines the integration of machine learning, citizen science, environmental DNA (eDNA), and other emerging technologies to enhance marine biodiversity and invasive alien species monitoring, discussed during a summer school organized by ...
Angel Borja +13 more
doaj +1 more source
ABSTRACT Palm oil, which is extracted from the mesocarp of the fruit of the Elaeis guineensis Jacq. palm tree, is the most widely produced vegetable oil in the world. The extraction of this substance typically utilizes the conventional pressing method, a technique that is advantageous due to its low operating cost and simplified process.
Constantino Lucas Queta +2 more
wiley +1 more source
ABSTRACT Carbon capture technologies are poised to become one of the primary focuses regarding the achievement of net‐zero emissions by the year 2050. In these technologies, particular attention is given to post‐combustion CO2 capture, which is more easily implemented at existing power stations and other industries.
Satyajit Mukherjee +3 more
wiley +1 more source
Sustainable Manufacturing Platforms for Closed‐Cycle Bioeconomy Applications
ABSTRACT The transition to a circular bioeconomy requires innovative production platforms that prioritize sustainability, resource efficiency, and waste minimization. Organic waste from agriculture, aquaculture, and food production represents an underutilized feedstock for biomanufacturing, contributing to a circular economy.
Yelizaveta Chernysh +2 more
wiley +1 more source
Environmental changes and human activities in the Anthropocene era are likely to alter population size, structure, and genetic diversity of many species. Long‐term monitoring is therefore essential to assess these impacts and enable informed conservation
Pauline Buso +12 more
doaj +1 more source
Turning a new leaf: PhenoVision provides leaf phenology data at the global scale
Abstract Premise Plant phenology dictates many aspects of community function and ecosystem dynamics. Yet, global phenology data are still limited, especially in areas lacking monitoring programs. Here we present a new data resource, PhenoVision–Leaf, which extends a computer vision pipeline utilizing iNaturalist digital image vouchers to produce global‐
Erin L. Grady +6 more
wiley +1 more source
Integrating machine learning, deep learning, and image analysis for seed species classification
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth +6 more
wiley +1 more source
Essential Ocean Variables (EOV) and Essential Biodiversity Variables (EBV) have been defined by the Global Ocean Observing System and the Group on Earth Observations Biodiversity Observation Network, respectively, as conceptual frameworks for consistent global monitoring of ocean and biodiversity health.
openaire +2 more sources
Abstract Premise In North America, Phragmites australis (common reed) has drawn a great deal of research attention. Non‐native P. australis subsp. australis is a noxious weed that has locally displaced native P. australis subsp. americanus in some areas.
Nicholas P. Tippery +8 more
wiley +1 more source
BarnebyLives: An R package to create herbarium specimen labels and clean spreadsheets
Abstract Premise Accessioning herbarium specimens is labor intensive, yet remains vital for research in ecology, evolution, and conservation. As institutional support for herbaria declines, efficient tools are needed to streamline this process. The R package BarnebyLives was developed to assist collectors by supplementing collection notes, verifying ...
Reed Clark Benkendorf, Jeremie B. Fant
wiley +1 more source

