Preprints

Filtering by Subject: Research Methods in Life Sciences

Plant Breeding Biomolecular Classification in Quantum Bayesianism (QBism) Physics-Informed Neural Network Architecture

Karriem A.J. Perry, Barbara S Keary

Published: 2022-08-31
Subjects: Artificial Intelligence and Robotics, Climate, Other Statistics and Probability, Plant Sciences, Probability, Quantum Physics, Research Methods in Life Sciences, Soil Science, Statistical, Nonlinear, and Soft Matter Physics, Sustainability, Systems Biology

In this brief communication, biomolecular plant breeding multi-classification inference is discussed when leveraging the advantages of Physics-informed Neural Network (PiNN) architecture. Albeit, the expected utility of Partial Differential Equation (PDE) inspired neural networks resides in its performance under limited data availability; a variety of neural network configurations result from PDE [...]

Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes

Michael J Mahoney, Lucas K Johnson, Eddie Bevilacqua, et al.

Published: 2021-12-14
Subjects: Environmental Monitoring, Environmental Sciences, Forest Sciences, Research Methods in Life Sciences

Airborne LiDAR has become an essential data source for large-scale, high-resolution modeling of forest aboveground biomass and carbon stocks, enabling predictions with much higher resolution and accuracy than can be achieved using optical imagery alone. Ground noise filtering – that is, excluding returns from LiDAR point clouds based on simple height thresholds – is a common practice meant to [...]

Correlative Microscopy: a tool for understanding soil weathering in modern analogues of early terrestrial biospheres

Ria Mitchell, Peter Davies, Paul Kenrick, et al.

Published: 2021-03-18
Subjects: Biogeochemistry, Geology, Paleobiology, Plant Sciences, Research Methods in Life Sciences, Sedimentology, Soil Science

Correlative imaging provides a method of investigating complex systems by combining analytical (chemistry) and imaging (tomography) information across dimensions (2D-3D) and scales (centimetres-nanometres). We studied weathering processes in a modern cryptogamic ground cover (CGC) from Iceland, containing early colonizing, and evolutionary ancient, communities of mosses, lichens, fungi, and [...]

An open, scalable, and flexible framework for automated aerial measurement of field experiments

Christophe Schnaufer, Julian Pistorius, David Shaner LeBauer

Published: 2020-05-25
Subjects: Agricultural Science, Agriculture, Bioresource and Agricultural Engineering, Ecology and Evolutionary Biology, Engineering, Life Sciences, Plant Breeding and Genetics Life Sciences, Plant Sciences, Research Methods in Life Sciences, Terrestrial and Aquatic Ecology

Unoccupied areal vehicles (UAVs or drones) are increasingly used in field research. Drones capable of routinely and consistently capturing high quality imagery of experimental fields have become relatively inexpensive. However, converting these images into scientifically useable data has become a bottleneck. A number of tools exist to support this workflow, but there is no framework for making [...]

Realistic and simplified models of plant and leaf area indices for a seasonally dry tropical forest

Rodrigo de Queiroga Miranda, Rodolfo Luiz Bezerra Nóbrega, Magna Soelma Beserra de Moura, et al.

Published: 2019-08-06
Subjects: Civil and Environmental Engineering, Desert Ecology, Ecology and Evolutionary Biology, Engineering, Environmental Engineering, Forest Management, Forest Sciences, Life Sciences, Plant Sciences, Research Methods in Life Sciences

Leaf Area Index (LAI) models that consider all phenological stages have not been developed for the Caatinga, the largest seasonally dry tropical forest in South America. LAI models that are currently used show moderate to high covariance when compared to in situ data, but they often lack accuracy in the whole spectra of possible values and do not consider the impact that the stems and branches [...]

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