A comprehensive survey on IoT and AI based applications in different pre-harvest, during-harvest and post-harvest activities of smart agriculture
RK Kasera, S Gour, T Acharjee - Computers and Electronics in Agriculture, 2024 - Elsevier
Today farmers around the world are gradually embracing Smart farming assisted by different
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …
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 …
A deep learning-based model for date fruit classification
A total of 8.46 million tons of date fruit are produced annually around the world. The date fruit
is considered a high-valued confectionery and fruit crop. The hot arid zones of Southwest …
is considered a high-valued confectionery and fruit crop. The hot arid zones of Southwest …
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 …
Detection and counting of small target apples under complicated environments by using improved YOLOv7-tiny
L Ma, L Zhao, Z Wang, J Zhang, G Chen - Agronomy, 2023 - mdpi.com
Weather disturbances, difficult backgrounds, the shading of fruit and foliage, and other
elements can significantly affect automated yield estimation and picking in small target apple …
elements can significantly affect automated yield estimation and picking in small target apple …
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 …