AIMC Topic: Citrus

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An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing.

Scientific reports Dec 5, 2024
Innovation is currently driving enhanced performance and productivity across various fields through process automation. However, identifying intricate details in images can often pose challenges due to morphological variations or specific conditions....
Neural Networks, Computer Artificial Intelligence Humans Fundus Oculi Citrus Algorithms Image Processing, Computer-Assisted
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning.

Sensors (Basel, Switzerland) Nov 29, 2024
Huanglongbing (HLB), also known as citrus greening disease, is a devastating disease of citrus. However, there is no known cure so far. Recently, under Section 24(c) of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), a special local ...
Unmanned Aerial Devices Machine Learning Remote Sensing Technology Plant Diseases Citrus Texas
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Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies.

PloS one Aug 26, 2024
Estimation of fruit quality parameters are usually based on destructive techniques which are tedious, costly and unreliable when dealing with huge amounts of fruits. Alternatively, non-destructive techniques such as image processing and spectral refl...
Chlorophyll A Citrus Carotenoids Lycopene Chlorophyll Fruit Hyperspectral Imaging Machine Learning Solanum lycopersicum
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Nanozyme-based colorimetric sensor arrays coupling with smartphone for discrimination and "segmentation-extraction-regression" deep learning assisted quantification of flavonoids.

Biosensors & bioelectronics Jul 26, 2024
Achieving rapid, cost effective, and intelligent identification and quantification of flavonoids is challenging. For fast and uncomplicated flavonoid determination, a sensing platform of smartphone-coupled colorimetric sensor arrays (electronic noses...
Colorimetry Smartphone Deep Learning Limit of Detection Cerium Biosensing Techniques Flavonoids Electronic Nose Benzidines Citrus
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Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms.

Sensors (Basel, Switzerland) Oct 17, 2023
Sooty mold is a common disease found in citrus plants and is characterized by black fungi growth on fruits, leaves, and branches. This mold reduces the plant's ability to carry out photosynthesis. In small leaves, it is very difficult to detect sooty...
Deep Learning Algorithms Trees Fungi Citrus
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Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning.

Sensors (Basel, Switzerland) Nov 18, 2022
Plant diseases are a major cause of reduction in agricultural output, which leads to severe economic losses and unstable food supply. The citrus plant is an economically important fruit crop grown and produced worldwide. However, citrus plants are ea...
Citrus Deep Learning Fruit Agriculture Plant Diseases
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LEMON: A Lightweight Facial Emotion Recognition System for Assistive Robotics Based on Dilated Residual Convolutional Neural Networks.

Sensors (Basel, Switzerland) Apr 28, 2022
The development of a Social Intelligence System based on artificial intelligence is one of the cutting edge technologies in Assistive Robotics. Such systems need to create an empathic interaction with the users; therefore, it os required to include a...
Citrus Facial Recognition Robotics Neural Networks, Computer Facial Expression Artificial Intelligence
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Classification of Citrus Diseases Using Optimization Deep Learning Approach.

Computational intelligence and neuroscience Feb 10, 2022
Most plant diseases have apparent signs, and today's recognized method is for an expert plant pathologist to identify the disease by looking at infected plant leaves using a microscope. The fact is that manually diagnosing diseases is time consuming ...
Citrus Image Processing, Computer-Assisted Neural Networks, Computer Plant Diseases Deep Learning
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Green Citrus Detection and Counting in Orchards Based on YOLOv5-CS and AI Edge System.

Sensors (Basel, Switzerland) Jan 12, 2022
Green citrus detection in citrus orchards provides reliable support for production management chains, such as fruit thinning, sunburn prevention and yield estimation. In this paper, we proposed a lightweight object detection YOLOv5-CS (Citrus Sort) m...
Artificial Intelligence Fruit Algorithms Citrus Computers
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Research on Lightweight Citrus Flowering Rate Statistical Model Combined with Anchor Frame Clustering Optimization.

Sensors (Basel, Switzerland) Nov 27, 2021
At present, learning-based citrus blossom recognition models based on deep learning are highly complicated and have a large number of parameters. In order to estimate citrus flower quantities in natural orchards, this study proposes a lightweight cit...
Models, Statistical Citrus Algorithms Neural Networks, Computer Cluster Analysis
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