AIMC Topic: Malus

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Rheological modelling of apple puree based on machine learning combined Monte Carlo simulation: Insight into the fundamental light- particle structure interaction processes.

Food chemistry Oct 10, 2024
In this work, apple purees from different particle concentration and verifying in size were reconstituted to investigate their impacts on rheological behaviors, optical properties and light interaction at 900-1650 nm. The optical scattering of differ...
Light Fruit Machine Learning Particle Size Monte Carlo Method Malus Rheology Viscosity
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Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop-specific approaches.

Pest management science Jul 19, 2024
BACKGROUND: Crop diseases can lead to significant yield losses and food shortages if not promptly identified and managed by farmers. With the advancements in convolutional neural networks (CNN) and the widespread availability of smartphones, automate...
Crops, Agricultural Plant Diseases Deep Learning Solanum tuberosum Solanum lycopersicum Malus
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Determination of Patulin in Apple Juice and Apple-Derived Products Using a Robotic Sample Preparation System and LC-APCI-MS/MS.

Toxins May 23, 2024
Patulin, a toxic mycotoxin, can contaminate apple-derived products. The FDA has established an action level of 50 ppb (ng/g) for patulin in apple juice and apple juice products. To effectively monitor this mycotoxin, there is a need for adequate anal...
Chromatography, Liquid Robotics Food Contamination Fruit and Vegetable Juices Malus Tandem Mass Spectrometry Fruit Patulin
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Comparing visible and near infrared 'point' spectroscopy and hyperspectral imaging techniques to visualize the variability of apple firmness.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 24, 2024
In this work, visible and near-infrared 'point' (Vis-NIR) spectroscopy and hyperspectral imaging (Vis-NIR-HSI) techniques were applied on three different apple cultivars to compare their firmness prediction performances based on a large intra-variabi...
Least-Squares Analysis Fruit Hyperspectral Imaging Malus Spectroscopy, Near-Infrared Support Vector Machine
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Real-Time Prediction of Growth Characteristics for Individual Fruits Using Deep Learning.

Sensors (Basel, Switzerland) Aug 28, 2022
Understanding the growth status of fruits can enable precise growth management and improve the product quality. Previous studies have rarely used deep learning to observe changes over time, and manual annotation is required to detect hidden regions o...
Biological Phenomena Deep Learning Fruit Malus
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Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine.

Sensors (Basel, Switzerland) Apr 14, 2022
Apples are one of the most widely planted fruits in the world, with an extremely high annual production. Several issues should be addressed to avoid the damaging of samples during the quality grading process of apples (e.g., the long detection period...
Algorithms Electronic Nose Malus Hydrodynamics Support Vector Machine Discriminant Analysis
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A method of detecting apple leaf diseases based on improved convolutional neural network.

PloS one Feb 1, 2022
Apple tree diseases have perplexed orchard farmers for several years. At present, numerous studies have investigated deep learning for fruit and vegetable crop disease detection. Because of the complexity and variety of apple leaf veins and the diffi...
Plant Leaves Plant Diseases Malus Neural Networks, Computer Algorithms
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Hybrid neural network modeling and particle swarm optimization for improved ethanol production from cashew apple juice.

Bioprocess and biosystems engineering Sep 29, 2020
A hybrid neural model (HNM) and particle swarm optimization (PSO) was used to optimize ethanol production by a flocculating yeast, grown on cashew apple juice. HNM was obtained by combining artificial neural network (ANN), which predicted reaction sp...
Malus Neural Networks, Computer Fruit and Vegetable Juices Ethanol Models, Biological Saccharomyces cerevisiae
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Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network.

Sensors (Basel, Switzerland) Jun 22, 2020
Scab, frogeye spot, and cedar rust are three common types of apple leaf diseases, and the rapid diagnosis and accurate identification of them play an important role in the development of apple production. In this work, an improved model based on VGG1...
Neural Networks, Computer Malus Plant Leaves Plant Diseases
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Plant protection product dose rate estimation in apple orchards using a fuzzy logic system.

PloS one Apr 24, 2019
In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rat...
Plant Leaves Malus Fuzzy Logic Automation Crop Protection
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