AIMC Topic: Fruit

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Automated grading of oleaster fruit using deep learning.

Scientific reports Feb 12, 2025
The agriculture sector is crucial to many economies, particularly in developing regions, with post-harvest technology emerging as a key growth area. The oleaster, valued for its nutritional and medicinal properties, has traditionally been graded manu...
Algorithms Deep Learning Fruit
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Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.

PloS one Feb 11, 2025
Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameters) of mango "Succarri" and strawberry "Florida" as indicators of ripening degrees in a large area presents challenges such as low throughput, labor in...
Mangifera Fragaria Machine Learning Fruit Neural Networks, Computer Crops, Agricultural
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Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks.

Food research international (Ottawa, Ont.) Feb 7, 2025
In this work, the effect of lenticels on the predictive performance of apple and pear soluble solids content (SSC) models developed based on hyperspectral imaging (HSI) at 380-1010 nm was investigated for the first time. Variations in the spectral pr...
Neural Networks, Computer Algorithms Least-Squares Analysis Discriminant Analysis Fruit Convolutional Neural Networks Principal Component Analysis Malus Pyrus Hyperspectral Imaging Calibration
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Fruit wines classification enabled by combing machine learning with comprehensive volatiles profiles of GC-TOF/MS and GC-IMS.

Food research international (Ottawa, Ont.) Feb 5, 2025
Fruit wines, produced through the fermentation of various fruits, are well-documented for their distinct flavor profiles. Intelligent sensory analysis, GC-TOF/MS and GC-IMS were used for the analysis of the volatile profile of eight types of fruit wi...
Taste Neural Networks, Computer Volatile Organic Compounds Machine Learning Gas Chromatography-Mass Spectrometry Vitis Fermentation Fruit Blueberry Plants Wine Prunus persica
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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic.

PloS one Jan 22, 2025
Citrus farming is one of the major agricultural sectors of Pakistan and currently represents almost 30% of total fruit production, with its highest concentration in Punjab. Although economically important, citrus crops like sweet orange, grapefruit, ...
Pakistan Fruit Citrus Deep Learning Plant Leaves Plant Diseases
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An intelligent fruit freshness monitoring system using hydrophobic indicator labels based on methylcellulose, k-carrageenan, and sodium tripolyphosphate, combined with deep learning.

International journal of biological macromolecules Jan 17, 2025
As the demand for food quality and safety continues to rise, pH-responsive intelligent packaging technologies have found widespread application in the monitoring of food freshness. This study introduces a methylcellulose (MC)-based indicator label de...
Deep Learning Fruit Carrageenan Food Packaging Polyphosphates Hydrophobic and Hydrophilic Interactions Methylcellulose Food Quality
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The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini).

Ultrasonics sonochemistry Jan 12, 2025
Given their potential as natural substitutes for artificial additives and their health advantages, the extraction of bioactive substances like polyphenols from plant sources is becoming more and more significant. Nevertheless, it is still difficult t...
Chemical Fractionation Ultrasonic Waves Fruit Syzygium Fuzzy Logic Polyphenols Neural Networks, Computer Temperature
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Machine learning techniques for non-destructive estimation of plum fruit weight.

Scientific reports Jan 4, 2025
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-i...
Fruit Prunus domestica Machine Learning Support Vector Machine Artificial Intelligence
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Gripping Success Metric for Robotic Fruit Harvesting.

Sensors (Basel, Switzerland) Dec 31, 2024
Recently, computer vision methods have been widely applied to agricultural tasks, such as robotic harvesting. In particular, fruit harvesting robots often rely on object detection or segmentation to identify and localize target fruits. During the mod...
Malus Algorithms Robotics Agriculture Fruit
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MOF-Based Biomimetic Enzyme Microrobots for Efficient Detection of Total Antioxidant Capacity of Fruits and Vegetables.

Small (Weinheim an der Bergstrasse, Germany) Dec 26, 2024
Green and efficient total antioxidant capacity (TAC) detection is significant for healthy diet and disease prevention. This work first proposed the concept of TAC colorimetric detection based on microrobots. A novel metal-organic framework (MOF)-base...
Biomimetics Antioxidants Colorimetry Vegetables Biomimetic Materials Metal-Organic Frameworks Robotics Fruit
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