AIMC Topic: Plant Tubers

Clear Filters Showing 1 to 10 of 10 articles

Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum).

PloS one Jun 24, 2025
In vitro regeneration of potato tubers is highly significant in modern agriculture as it offers efficient propagation, genetic enhancement, and pathogen-free seed production. This study aimed to optimize in vitro tuberization by manipulating key vari...
Cytokinins Sucrose Artificial Intelligence Solanum tuberosum Machine Learning Plant Growth Regulators Indoles Indoleacetic Acids Plant Tubers
View on PubMed DOI

Mapping acrylamide content in potato chips using near-infrared hyperspectral imaging and chemometrics.

Food chemistry Mar 9, 2025
This study investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of acrylamide content in potato chips. A total of 300 tubers from two potato varieties (Agria and Jaerla) grown in two seasons and processed und...
Support Vector Machine Food Contamination Acrylamide Least-Squares Analysis Plant Tubers Hyperspectral Imaging Spectroscopy, Near-Infrared Chemometrics Solanum tuberosum Cooking
View on PubMed DOI

Deep learning-based characterization and redesign of major potato tuber storage protein.

Food chemistry Jan 23, 2024
Potato is one of the most important crops worldwide, to feed a fast-growing population. In addition to providing energy, fiber, vitamins, and minerals, potato storage proteins are considered as one of the most valuable sources of non-animal proteins ...
Deep Learning Carbohydrates Solanum tuberosum Plant Proteins Plant Tubers
View on PubMed DOI

ScabyNet, a user-friendly application for detecting common scab in potato tubers using deep learning and morphological traits.

Scientific reports Jan 13, 2024
Common scab (CS) is a major bacterial disease causing lesions on potato tubers, degrading their appearance and reducing their market value. To accurately grade scab-infected potato tubers, this study introduces "ScabyNet", an image processing approac...
Phenotype Deep Learning Plant Diseases Solanum tuberosum Plant Tubers
View on PubMed DOI

Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy.

Journal of the science of food and agriculture Jul 31, 2023
BACKGROUND: Yam (Dioscorea alata L.) is the staple food of many populations in the intertropical zone, where it is grown. The lack of phenotyping methods for tuber quality has hindered the adoption of new genotypes from breeding programs. Recently, n...
Plant Tubers Dioscorea Neural Networks, Computer Flour Amylose Spectroscopy, Near-Infrared
View on PubMed DOI

Optimization of diosgenin extraction from Dioscorea deltoidea tubers using response surface methodology and artificial neural network modelling.

PloS one Jul 21, 2021
INTRODUCTION: Dioscorea deltoidea var. deltoidea (Dioscoreaceae) is a valuable endangered plant of great medicinal and economic importance due to the presence of the bioactive compound diosgenin. In the present study, response surface methodology (RS...
Neural Networks, Computer Calibration Time Models, Theoretical Dioscorea Temperature Particle Size Diosgenin Plant Tubers Endangered Species Molecular Structure Solvents Plants, Medicinal Chemical Fractionation
View on PubMed DOI

Extracting knowledge networks from plant scientific literature: potato tuber flesh color as an exemplary trait.

BMC plant biology Apr 24, 2021
BACKGROUND: Scientific literature carries a wealth of information crucial for research, but only a fraction of it is present as structured information in databases and therefore can be analyzed using traditional data analysis tools. Natural language ...
Plant Tubers Data Mining Solanum tuberosum Pigments, Biological Natural Language Processing Color
View on PubMed DOI

A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment.

Scientific data Oct 27, 2020
We present a new large-scale three-fold annotated microscopy image dataset, aiming to advance the plant cell biology research by exploring different cell microstructures including cell size and shape, cell wall thickness, intercellular space, etc. in...
Plant Tubers Microscopy Solanum tuberosum Plant Cells Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.

Sensors (Basel, Switzerland) Sep 16, 2020
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the...
Remote Sensing Technology Least-Squares Analysis Aircraft Machine Learning Seasons Spectrum Analysis Plant Tubers Agriculture Solanum tuberosum
View on PubMed DOI

The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying.

Journal of the science of food and agriculture Sep 11, 2017
BACKGROUND: Drying is a method used to preserve agricultural crops. During the drying of products with high moisture content, structural changes in shape, volume, area, density and porosity occur. These changes could affect the final quality of dried...
Desiccation Temperature Scattering, Radiation Neural Networks, Computer Ipomoea batatas Optical Devices Light Plant Tubers Lasers Computers
View on PubMed DOI
Popular Topics
Recent Journals