4.7 Article

Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm

Related references

Note: Only part of the references are listed.
Article Engineering, Multidisciplinary

Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system

Rahim Azadnia et al.

Summary: This study proposes a smartphone-based machine vision system using CNN for assessing soil texture and predicting its type. The proposed CNN model achieved high accuracy at various distances and showed to be a quick and accurate alternative to traditional laboratory methods.

MEASUREMENT (2022)

Article Horticulture

Fruit quality and defect image classification with conditional GAN data augmentation

Jordan J. Bird et al.

Summary: Contemporary Artificial Intelligence technologies are being utilized in fruit quality image classification, with synthetic images proving to enhance classification accuracy and alleviate data scarcity issues, while also assisting in reducing overfitting and energy usage.

SCIENTIA HORTICULTURAE (2022)

Article Horticulture

A simple model for predicting sunburn on Satsuma mandarin fruit

YoSup Park et al.

Summary: This study predicted fruit sunburn occurrence by investigating the conditions that induce sunburn and estimating fruit skin temperatures. The fluctuation of fruit skin temperature was found to be significant in relation to ambient air temperature and solar radiation, with a clear increase in the number of sunburn risk days over recent decades.

SCIENTIA HORTICULTURAE (2022)

Article Ecology

A recognition method of multispectral images of soybean canopies based on neural network

Shijiao Gao et al.

Summary: This research proposes a neural network-based method for recognizing soybean canopy in multispectral images. By preprocessing the raw images and using image morphology operation, the canopy regions in the images are effectively extracted with minimal difference compared to the standard canopy image.

ECOLOGICAL INFORMATICS (2022)

Article Ecology

A two-stage adaptive thresholding segmentation for noisy low-contrast images

Junting Song et al.

Summary: Image binarization is a crucial and challenging step in image recognition. This study proposes a 2-stage adaptive binarization approach to improve the integrity of jellyfish extraction in underwater images and enhance hardware resource utilization and computational efficiency.

ECOLOGICAL INFORMATICS (2022)

Article Automation & Control Systems

Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits

Necati Cetin et al.

Summary: The present study analyzed hyperspectral images of Pink Lady apples at different harvest stages to predict firmness and soluble solids content. The results demonstrated that hyperspectral imaging combined with artificial neural network and decision tree methods were more effective for firmness prediction, while decision tree and multiple linear regression methods were more effective for soluble solids content prediction.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)

Article Agriculture, Multidisciplinary

Reliability of a commercial platform for estimating flower cluster and fruit number, yield, tree geometry and light interception in apple trees under different rootstocks and row orientations

Alessio Scalisi et al.

Summary: This study calibrated and validated a commercial sensorised mobile platform for predicting flower cluster number, fruit number, and yield in 'ANABP-01' apples. It also examined the relationships between tree geometry, light interception, rootstocks, and row orientation on orchard productivity. The results showed accurate predictions after calibration, demonstrating the potential of predictive technologies in orchard management.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Agriculture, Multidisciplinary

Fruit detection and load estimation of an orange orchard using the YOLO models through simple approaches in different imaging and illumination conditions

Hamzeh Mirhaji et al.

Summary: Fruit load estimation is crucial for Precision Agriculture. The study applied YOLO detection models to detect and count ripe oranges in an orchard, achieving high performance and accuracy through transfer learning and RGB image training. The YOLO-V4 model showed promising results in detecting and estimating orange yield, with high precision and performance.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Horticulture

Determination of banana quality indices during the ripening process at different temperatures using smartphone images and an artificial neural network

Byeong-Hyo Cho et al.

Summary: The study focused on analyzing banana quality and ripening stages at different temperatures using a smartphone camera and an artificial neural network (ANN). The relationship between color features extracted from images and chemical/physical properties of bananas was examined. The ANN models efficiently predicted firmness and TSS of bananas, but were less accurate in predicting pH value and ratio of pulp to peel. The study demonstrated a potential post-harvest method using smartphone cameras and ANN to estimate banana quality during ripening.

SCIENTIA HORTICULTURAE (2021)

Article Agronomy

Attempting to Estimate the Unseen-Correction for Occluded Fruit in Tree Fruit Load Estimation by Machine Vision with Deep Learning

Anand Koirala et al.

Summary: Machine vision from ground vehicles is used to estimate fruit load on trees, but a correction is needed for occlusion. Various methods, such as Random forest and multi-layered perceptron (MLP) models, were used for estimation. Results show good accuracy for predicting fruit count, but the models performed poorly on data from a different season compared to the reference method.

AGRONOMY-BASEL (2021)

Article Energy & Fuels

Waste management using an automatic sorting system for carrot fruit based on image processing technique and improved deep neural networks

Ahmad Jahanbakhshi et al.

Summary: This study addresses the classification of carrot fruit using improved deep neural networks, showing that convolutional neural networks provide a straightforward approach with increased accuracy. Comparing the proposed CNN algorithm with other classification methods demonstrates a 99.43% accuracy using the BN-CNN method.

ENERGY REPORTS (2021)

Article Biology

Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning

Ahmad Jahanbakhshi et al.

Summary: This study aims to improve the accuracy of ginger powder classification by enhancing the pooling function in CNN and using BN technique, which could effectively prevent fraud in ginger powder.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Article Horticulture

Detecting Maturity in Fresh Lycium barbarum L. Fruit Using Color Information

Jian Zhao et al.

Summary: A quantitative maturity detection model for fresh Lycium barbarum fruit was successfully established using image processing methods and support vector machine model. Field experiments verified the accuracy of the model's predictions in relation to the picking forces of the fruit.

HORTICULTURAE (2021)

Review Pharmacology & Pharmacy

Roles and Mechanisms of Hawthorn and Its Extracts on Atherosclerosis: A Review

Min Wu et al.

FRONTIERS IN PHARMACOLOGY (2020)

Article Food Science & Technology

Evaluation of image processing technique and discriminant analysis methods in postharvest processing of carrot fruit

Ahmad Jahanbakhshi et al.

FOOD SCIENCE & NUTRITION (2020)

Article Agronomy

Accurate classification of cherry fruit using deep CNN based on hybrid pooling approach

Mohammad Momeny et al.

POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)

Review Agriculture, Multidisciplinary

A review on weed detection using ground-based machine vision and image processing techniques

Aichen Wang et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

Article Agronomy

Image-based deep learning automated sorting of date fruit

Amin Nasiri et al.

POSTHARVEST BIOLOGY AND TECHNOLOGY (2019)

Article Horticulture

Maturity detection and volume estimation of apricot using image processing technique

Mostafa Khojastehnazhand et al.

SCIENTIA HORTICULTURAE (2019)

Article Agriculture, Multidisciplinary

A methodology for fresh tomato maturity detection using computer vision

Peng Wan et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

Article Engineering, Chemical

AN ARTIFICIAL NEURAL NETWORK-BASED METHOD TO IDENTIFY FIVE CLASSES OF ALMOND ACCORDING TO VISUAL FEATURES

Nima Teimouri et al.

JOURNAL OF FOOD PROCESS ENGINEERING (2016)

Article Agriculture, Multidisciplinary

Design of an automatic apple sorting system using machine vision

M. M. Sofu et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)

Article Computer Science, Artificial Intelligence

SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique

Jagadeesh D. Pujari et al.

INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE (2016)

Article Horticulture

Detecting maturity of persimmon fruit based on image processing technique

Vahid Mohammadi et al.

SCIENTIA HORTICULTURAE (2015)

Article Computer Science, Hardware & Architecture

A survey on feature selection methods

Girish Chandrashekar et al.

COMPUTERS & ELECTRICAL ENGINEERING (2014)

Article Ecology

Interactive plant identification based on social image data

Alexis Joly et al.

ECOLOGICAL INFORMATICS (2014)

Article Agriculture, Multidisciplinary

Structural Analysis of Proanthocyanidins Isolated from Fruit Stone of Chinese Hawthorn with Potent Antityrosinase and Antioxidant Activity

Wei-Ming Chai et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2014)

Article Agriculture, Multidisciplinary

An image segmentation method for apple sorting and grading using support vector machine and Otsu's method

Akira Mizushima et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2013)

Article Biochemical Research Methods

Comparing the Composition and Bioactivity of Crataegus Monogyna Flowers and Fruits used in Folk Medicine

Lillian Barros et al.

PHYTOCHEMICAL ANALYSIS (2011)

Article Agriculture, Multidisciplinary

Automated strawberry grading system based on image processing

Xu Liming et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)

Article Computer Science, Artificial Intelligence

Using AUC and accuracy in evaluating learning algorithms

J Huang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)

Article Computer Science, Artificial Intelligence

Gene selection for cancer classification using support vector machines

I Guyon et al.

MACHINE LEARNING (2002)