Characterisation of Pineapple Cultivars under Different Storage Conditions Using Infrared Thermal Imaging Coupled with Machine Learning Algorithms

نویسندگان

چکیده

The non-invasive ability of infrared thermal imaging has gained interest in various food classification and recognition tasks. In this work, was used to distinguish different pineapple cultivars, i.e., MD2, Morris, Josapine, which were subjected storage temperatures, 5, 10, 25 °C a relative humidity 85% 90%. A total 14 features from the images obtained determine variation terms image parameters among cultivars. Principal component analysis applied for feature reduction order prevent any effect significant difference between selected features. Several types machine learning algorithms compared, including linear discriminant analysis, quadratic support vector machine, k-nearest neighbour, decision tree, naïve Bayes, obtain best performance results showed that achieved combination optimal with highest rate 100%. coupled approaches can be potentially could enhance grading sorting processes fruit.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparative Analysis of Machine Learning Algorithms with Optimization Purposes

The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data‎. ‎In this paper‎, ‎a methodology has been employed to opt...

متن کامل

Machine learning algorithms in air quality modeling

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

متن کامل

Human Detection using Infrared Thermal Imaging System

Image processing techniques were used to enhance the recorded thermal images and to remove unwanted noise. The skin surface area centered on the tip of the face was specified by a square that covered the region using Haarlike feature method. The face is detected and then tracked. The camera adjusts its pan and tilt continuously to capture the face at center location of display screen. Experimen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Agriculture

سال: 2022

ISSN: ['2077-0472']

DOI: https://doi.org/10.3390/agriculture12071013