AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Plant Physiological Phenomena

Showing 11 to 20 of 20 articles

Clear Filters

Distillation of crop models to learn plant physiology theories using machine learning.

PloS one
Convolutional neural networks (CNNs) can not only classify images but can also generate key features, e.g., the Google neural network that learned to identify cats by simply watching YouTube videos, for the classification. In this paper, crop models ...

Effects of Plant Species, Insecticide, and Exposure Time On the Efficacy Of Barrier Treatments Against .

Journal of the American Mosquito Control Association
The effect of 5 plant species (arborvitae [], boxwood [ sp., Japanese honeysuckle [], rhododendron [ sp.], and zebra grass []) and 2 rates of lambda-cyhalothrin (3.13 ml and 6.25 ml active ingredient [AI]/liter) on knockdown (1 h) and mortality (24 h...

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.

Trends in plant science
Deep learning (DL), a subset of machine learning approaches, has emerged as a versatile tool to assimilate large amounts of heterogeneous data and provide reliable predictions of complex and uncertain phenomena. These tools are increasingly being use...

Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset.

International journal of biometeorology
Changes in the timing of plant phenological phases are important proxies in contemporary climate research. However, most of the commonly used traditional phenological observations do not give any coherent spatial information. While consistent spatial...

Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.

Scientific reports
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...

A plant-inspired robot with soft differential bending capabilities.

Bioinspiration & biomimetics
We present the design and development of a plant-inspired robot, named Plantoid, with sensorized robotic roots. Natural roots have a multi-sensing capability and show a soft bending behaviour to follow or escape from various environmental parameters ...

Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation.

Computational intelligence and neuroscience
This paper proposes a new plant-inspired optimization algorithm for multilevel threshold image segmentation, namely, hybrid artificial root foraging optimizer (HARFO), which essentially mimics the iterative root foraging behaviors. In this algorithm ...

The Plant Ontology: A Tool for Plant Genomics.

Methods in molecular biology (Clifton, N.J.)
The use of controlled, structured vocabularies (ontologies) has become a critical tool for scientists in the post-genomic era of massive datasets. Adoption and integration of common vocabularies and annotation practices enables cross-species comparat...

PPDB: A Tool for Investigation of Plants Physiology Based on Gene Ontology.

Interdisciplinary sciences, computational life sciences
Representing the way forward, from functional genomics and its ontology to functional understanding and physiological model, in a computationally tractable fashion is one of the ongoing challenges faced by computational biology. To tackle the standpo...