AIMC Topic: Plants

Clear Filters Showing 91 to 100 of 186 articles

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery.

Scientific reports Nov 27, 2019
Recent technological advances in remote sensing sensors and platforms, such as high-resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of fine-grained earth observation data. Such data reveal vegetation canopi...
Plants Deep Learning Neural Networks, Computer Data Collection Image Processing, Computer-Assisted Algorithms Remote Sensing Technology Satellite Imagery Plant Physiological Phenomena
View on PubMed DOI

Deep Learning with Taxonomic Loss for Plant Identification.

Computational intelligence and neuroscience Nov 21, 2019
Plant identification is a fine-grained classification task which aims to identify the family, genus, and species according to plant appearance features. Inspired by the hierarchical structure of taxonomic tree, the taxonomic loss was proposed, which ...
Plants Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning.

Scientific reports Nov 19, 2019
Living organisms have evolved complex signaling networks to drive appropriate physiological processes in response to changing environmental conditions. Amongst them, electric signals are a universal method to rapidly transmit information. In animals,...
Plant Physiological Phenomena Electrophysiological Phenomena Plants Supervised Machine Learning Biosensing Techniques
View on PubMed DOI

Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning.

Artificial intelligence in medicine Nov 8, 2019
In today's world, cardiovascular diseases are prevalent becoming the leading cause of death; more than half of the cardiovascular diseases are due to Coronary Heart Disease (CHD) which generates the demand of predicting them timely so that people can...
Predictive Value of Tests Plants Programming Languages Databases, Factual Support Vector Machine Coronary Disease Plethysmography Photosynthesis Heart Diseases Heart Rate Humans Machine Learning Algorithms Artificial Intelligence
View on PubMed DOI

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.

G3 (Bethesda, Md.) Nov 5, 2019
The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to develop new and improved genomic prediction algorithms, such as artificial neural networks and gradient tree boosting. However, the performance of th...
Neural Networks, Computer Genotype Phenotype Benchmarking Plants Genomics Machine Learning
View on PubMed DOI

Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds.

Plant physiology Oct 7, 2019
Developing automated methods to efficiently process large volumes of point cloud data remains a challenge for three-dimensional (3D) plant phenotyping applications. Here, we describe the development of machine learning methods to tackle three primary...
Nicotiana Plant Stems Plant Shoots Environment Solanum lycopersicum Plants Phenotype Reproducibility of Results Algorithms Plant Leaves Plant Roots Imaging, Three-Dimensional Machine Learning
View on PubMed DOI

Examining plant uptake and translocation of emerging contaminants using machine learning: Implications to food security.

The Science of the total environment Aug 20, 2019
When water and solutes enter the plant root through the epidermis, organic contaminants in solution either cross the root membranes and transport through the vascular pathways to the aerial tissues or accumulate in the plant roots. The accumulation o...
Neural Networks, Computer Fuzzy Logic Cluster Analysis Machine Learning Food Supply Xylem Soil Pollutants Plants
View on PubMed DOI

Photomorphogenesis for robot self-assembly: adaptivity, collective decision-making, and self-repair.

Bioinspiration & biomimetics Jul 12, 2019
Self-assembly in biology is an inspiration for engineered large-scale multi-modular systems with desirable characteristics, such as robustness, scalability, and adaptivity. Previous works have shown that simple mobile robots can be used to emulate an...
Anthozoa Decision Making Insecta Animals Robotics Light Plants Biomimetics Behavior, Animal Morphogenesis
View on PubMed DOI

Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics.

IEEE transactions on neural networks and learning systems Jun 3, 2019
In the postgenome era, many problems in bioinformatics have arisen due to the generation of large amounts of imbalanced data. In particular, the computational classification of precursor microRNA (pre-miRNA) involves a high imbalance in the classes. ...
Deep Learning Computational Biology Plants Databases, Factual Elasticity Humans Animals Neural Networks, Computer
View on PubMed DOI

Machine learning approaches and their current application in plant molecular biology: A systematic review.

Plant science : an international journal of experimental plant biology Apr 4, 2019
Machine learning (ML) is a field of artificial intelligence that has rapidly emerged in molecular biology, thus allowing the exploitation of Big Data concepts in plant genomics. In this context, the main challenges are given in terms of how to analyz...
Databases, Genetic Plants Machine Learning Molecular Biology
View on PubMed DOI
Popular Topics
Recent Journals