Machine Learning algorithms and fundamentals as Emerging Safety Tools in Preservation of fruits and vegetables: a review
Machine learning assists with food process optimization techniques by developing a model
to predict the optimal solution for given input data. Machine learning includes unsupervised …
to predict the optimal solution for given input data. Machine learning includes unsupervised …
A convolutional neural network‐based comparative study for pepper seed classification: Analysis of selected deep features with support vector machine
The seeds of high quality are very important for the cultivation of the pepper. The required
cultivation practices and growing conditions may be affected by the cultivar. Also, the …
cultivation practices and growing conditions may be affected by the cultivar. Also, the …
A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods
Among the leading causes of mortality and morbidity in people are lung and colon cancers.
They may develop concurrently in organs and negatively impact human life. If cancer is not …
They may develop concurrently in organs and negatively impact human life. If cancer is not …
Benchmarking analysis of CNN models for bread wheat varieties
A Yasar - European food research and technology, 2023 - Springer
Most of the wheat produced and consumed worldwide is generally bread wheat and is used
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …
CNN–SVM hybrid model for varietal classification of wheat based on bulk samples
Determining the variety of wheat is important to know the physical and chemical properties
which may be useful in grain processing. It also affects the price of wheat in the food …
which may be useful in grain processing. It also affects the price of wheat in the food …
Non-Destructive Quality-Detection Techniques for Cereal Grains: A Systematic Review
Grain quality involves the appearance, nutritional, and safety attributes of grains. With the
improvement of people's living standards, problems pertaining to the quality of grains have …
improvement of people's living standards, problems pertaining to the quality of grains have …
A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms
S Kılıçarslan, S Kılıçarslan - European Food Research and Technology, 2024 - Springer
Wheat is unquestionably the primary source of sustenance in human dietary intake. The
cultivation areas and production capacity of wheat worldwide have been observed to …
cultivation areas and production capacity of wheat worldwide have been observed to …
Continuous wavelet transform and back propagation neural network for condition monitoring chlorophyll fluorescence parameters Fv/Fm of rice leaves
S Wen, N Shi, J Lu, Q Gao, W Hu, Z Cao, J Lu, H Yang… - Agriculture, 2022 - mdpi.com
The chlorophyll fluorescence parameter Fv/Fm (maximum photosynthetic efficiency of optical
system II) is an intrinsic index for exploring plant photosynthesis. Hyperspectral remote …
system II) is an intrinsic index for exploring plant photosynthesis. Hyperspectral remote …
The changes in bell pepper flesh as a result of lacto-fermentation evaluated using image features and machine learning
Food processing allows for maintaining the quality of perishable products and extending
their shelf life. Nondestructive procedures combining image analysis and machine learning …
their shelf life. Nondestructive procedures combining image analysis and machine learning …
Image-based classification of wheat spikes by glume pubescence using convolutional neural networks
NV Artemenko, MA Genaev, RUI Epifanov… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Pubescence is an important phenotypic trait observed in both vegetative and
generative plant organs. Pubescent plants demonstrate increased resistance to various …
generative plant organs. Pubescent plants demonstrate increased resistance to various …