AIMC Topic: Plant Leaves

Clear Filters Showing 41 to 50 of 276 articles

Extraction of polysaccharides from Camellia oleifera leaves by dual enzymes combined with deep eutectic solvents screened by ANN and COSMO-RS.

International journal of biological macromolecules Feb 16, 2025
Camellia oleifera leaves were byproduct of the C. oleifera industry which was rich in polysaccharides. Deep eutectic solvent-dual enzyme system (DES-dEAE) was established to achieve the simultaneous hydrolysis reaction of dual enzymes and DES extract...
Polysaccharides Hydrolysis Plant Leaves Hydrogen-Ion Concentration Deep Eutectic Solvents Solvents Camellia Neural Networks, Computer
View on PubMed DOI

A review: Integration of NIRS and chemometric methods for tea quality control-principles, spectral preprocessing methods, machine learning algorithms, research progress, and future directions.

Food research international (Ottawa, Ont.) Feb 15, 2025
With the steady rise in tea production, the need for effective tea quality monitoring has become increasingly pressing. Traditional sensory evaluation and wet chemical detection methods are insufficient for real-time tea quality monitoring. As an eme...
Tea Quality Control Chemometrics Spectroscopy, Near-Infrared Plant Leaves Machine Learning
View on PubMed DOI

Autoregressive exogenous neural structures for synthetic datasets of olive disease control model with fractional Grünwald-Letnikov solver.

Computers in biology and medicine Feb 5, 2025
A fundamental element of the Mediterranean diet, olive oil is abundant in heart-healthy monounsaturated fats and antioxidants, lowering the risk of cardiovascular diseases. However, the olive oil industry confronts hurdles arising from olive tree dis...
Neural Networks, Computer Olea Plant Diseases Plant Leaves Models, Biological
View on PubMed DOI

Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models.

Scientific reports Feb 5, 2025
Crop health assessment and early yield predictions are highly crucial under biotic stress conditions for crop management and market planning by farmers and policy planners. The objective of this study was, therefore, to assess the impact of different...
Cicer Machine Learning Plant Diseases Genotype Photosynthesis Plant Leaves Crops, Agricultural
View on PubMed DOI

Leaf-Face Classifier Based on an Integrated Electrochemical Tongue and Machine Learning.

ACS sensors Feb 4, 2025
Botanical sourcing seriously impacts the safety and potency of herbal medicines, restricting the development of the traditional Chinese medicinal industry. Rapid and convenient identification of plant resources is important to address this problem. H...
Machine Learning Dendrobium Electronic Nose Plant Leaves Electrochemical Techniques
View on PubMed DOI

Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods.

Scientific reports Jan 31, 2025
Cigar leaf is a special type of tobacco plant, which is the raw material for producing high-quality cigars. The content and proportion of nicotine and other composite substances of cigar leaves have a crucial impact on their quality and vary greatly ...
Nicotiana Tobacco Products Hyperspectral Imaging Plant Leaves Remote Sensing Technology Algorithms Machine Learning Nicotine
View on PubMed DOI

A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection.

Scientific reports Jan 31, 2025
Plants are essential at all stages of living things. Plant pests, diseases, and symptoms are most regularly visible in plant leaves and fruits and sometimes within the roots. Yet, their diagnosis by experts in the laboratory is expensive, tedious, an...
Neural Networks, Computer Machine Learning Convolutional Neural Networks Plant Leaves Plant Diseases
View on PubMed DOI

A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms.

Food research international (Ottawa, Ont.) Jan 30, 2025
Fixation is a critical step in green tea processing, and the moisture content of the leaves after fixation is a key indicator of the fixation quality. Near-infrared spectroscopy (NIRS)-based moisture detection technology is often applied in the tea p...
Plant Leaves Deep Learning Tea Least-Squares Analysis Temperature Water Food Handling Spectroscopy, Near-Infrared
View on PubMed DOI

Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach.

Scientific reports Jan 28, 2025
In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG1...
Capsicum Plant Leaves Solanum lycopersicum Vitis Deep Learning Plant Diseases Image Processing, Computer-Assisted
View on PubMed DOI

Machine Learning-Based Spectral Analyses for Cultivar Identification.

Molecules (Basel, Switzerland) Jan 25, 2025
is a plant species with high cultural and biological relevance. Besides being used as an ornamental plant species, has relevant biological properties. Due to hybridization, thousands of cultivars are known, and their accurate identification is mand...
Spectroscopy, Fourier Transform Infrared Plant Leaves Machine Learning Spectroscopy, Near-Infrared Camellia
View on PubMed DOI
Popular Topics
Recent Journals