Image acquisition, preprocessing and classification of citrus fruit diseases: A systematic literature review
Different kinds of techniques are evaluated and analyzed for various classification models
for the detection of diseases of citrus fruits. This paper aims to systematically review the …
for the detection of diseases of citrus fruits. This paper aims to systematically review the …
Artificial intelligence in agriculture: benefits, challenges, and trends
RC Oliveira, RDS Silva - Applied Sciences, 2023 - mdpi.com
The world's population has reached 8 billion and is projected to reach 9.7 billion by 2050,
increasing the demand for food production. Artificial intelligence (AI) technologies that …
increasing the demand for food production. Artificial intelligence (AI) technologies that …
Fruit image classification model based on MobileNetV2 with deep transfer learning technique
Y Gulzar - Sustainability, 2023 - mdpi.com
Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …
devices has increased significantly. Researchers have started using deep learning models …
Enhancing image annotation technique of fruit classification using a deep learning approach
An accurate image retrieval technique is required due to the rapidly increasing number of
images. It is important to implement image annotation techniques that are fast, simple, and …
images. It is important to implement image annotation techniques that are fast, simple, and …
Harnessing the power of transfer learning in sunflower disease detection: A comparative study
Sunflower is an important crop that is susceptible to various diseases, which can
significantly impact crop yield and quality. Early and accurate detection of these diseases is …
significantly impact crop yield and quality. Early and accurate detection of these diseases is …
An artificial intelligence-based stacked ensemble approach for prediction of protein subcellular localization in confocal microscopy images
Predicting subcellular protein localization has become a popular topic due to its utility in
understanding disease mechanisms and developing innovative drugs. With the rapid …
understanding disease mechanisms and developing innovative drugs. With the rapid …
An improvised CNN model for fake image detection
The last decade has witnessed a multifold growth of image data courtesy of the emergence
of social networking services like Facebook, Instagram, LinkedIn etc. The major menace …
of social networking services like Facebook, Instagram, LinkedIn etc. The major menace …
Computer vision system for mango fruit defect detection using deep convolutional neural network
R Nithya, B Santhi, R Manikandan, M Rahimi… - foods, 2022 - mdpi.com
Machine learning techniques play a significant role in agricultural applications for
computerized grading and quality evaluation of fruits. In the agricultural domain, automation …
computerized grading and quality evaluation of fruits. In the agricultural domain, automation …
Adversarial approaches to tackle imbalanced data in machine learning
Real-world applications often involve imbalanced datasets, which have different
distributions of examples across various classes. When building a system that requires a …
distributions of examples across various classes. When building a system that requires a …
Classification of hazelnut kernels with deep learning
In this study a deep learning-based, highly accurate network structure was applied to
discriminate the “whole kernel” of hazelnut from other classes such as “damaged …
discriminate the “whole kernel” of hazelnut from other classes such as “damaged …