A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …
Comprehensive study on applications of artificial neural network in food process modeling
GVS Bhagya Raj, KK Dash - Critical reviews in food science and …, 2022 - Taylor & Francis
Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …
consisting of nerve cells or neurons. The application of ANN to food process engineering is …
Deep feature based rice leaf disease identification using support vector machine
Features are the vital factor for image classification in the field of machine learning. The
advancement of deep convolutional neural network (CNN) shows the way for identification …
advancement of deep convolutional neural network (CNN) shows the way for identification …
Identification of rice diseases using deep convolutional neural networks
Y Lu, S Yi, N Zeng, Y Liu, Y Zhang - Neurocomputing, 2017 - Elsevier
The automatic identification and diagnosis of rice diseases are highly desired in the field of
agricultural information. Deep learning is a hot research topic in pattern recognition and …
agricultural information. Deep learning is a hot research topic in pattern recognition and …
Intelligent food processing: Journey from artificial neural network to deep learning
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …
technology. With an increase in industrial automation and the Internet of Things, now it is …
Nitrogen deficiency prediction of rice crop based on convolutional neural network
Nitrogen (N) concentration is a significant parameter to check the status of health in rice
crop. Nitrogen (N) plays an essential role in the growth and productivity of rice plant. This …
crop. Nitrogen (N) plays an essential role in the growth and productivity of rice plant. This …
A study of multi-task and region-wise deep learning for food ingredient recognition
Food recognition has captured numerous research attention for its importance for health-
related applications. The existing approaches mostly focus on the categorization of food …
related applications. The existing approaches mostly focus on the categorization of food …
Dynamic mixup for multi-label long-tailed food ingredient recognition
Recognizing the ingredients composition for given food images facilitates the estimation of
nutrition facts, which is crucial to various health relevant applications. Nevertheless …
nutrition facts, which is crucial to various health relevant applications. Nevertheless …
Ingredient-guided region discovery and relationship modeling for food category-ingredient prediction
Recognizing the category and its ingredient composition from food images facilitates
automatic nutrition estimation, which is crucial to various health relevant applications, such …
automatic nutrition estimation, which is crucial to various health relevant applications, such …
Cross-modal recipe retrieval with rich food attributes
Food is rich of visible (eg, colour, shape) and procedural (eg, cutting, cooking) attributes.
Proper leveraging of these attributes, particularly the interplay among ingredients, cutting …
Proper leveraging of these attributes, particularly the interplay among ingredients, cutting …