A comparative study of deep learning and Internet of Things for precision agriculture
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
A review on federated learning towards image processing
Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …
provides an overview of how Federated Learning can be used to improve data security and …
Multiclass skin lesion classification using hybrid deep features selection and extreme learning machine
The variation in skin textures and injuries, as well as the detection and classification of skin
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
Classification and analysis of pistachio species with pre-trained deep learning models
Pistachio is a shelled fruit from the anacardiaceae family. The homeland of pistachio is the
Middle East. The Kirmizi pistachios and Siirt pistachios are the major types grown and …
Middle East. The Kirmizi pistachios and Siirt pistachios are the major types grown and …
Palm tree disease detection and classification using residual network and transfer learning of inception ResNet
M Ahmed, A Ahmed - Plos one, 2023 - journals.plos.org
Agriculture has become an essential field of study and is considered a challenge for many
researchers in computer vision specialization. The early detection and classification of plant …
researchers in computer vision specialization. The early detection and classification of plant …
An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
M Prabu, BJ Chelliah - Pattern Analysis and Applications, 2023 - Springer
Leaf disease is considered a serious threat which affects agricultural productivity and
ultimately reduces the GDP of the Indian economy. The precise detection and timely …
ultimately reduces the GDP of the Indian economy. The precise detection and timely …
A novel CNN gap layer for growth prediction of palm tree plantlings
Monitoring palm tree seedlings and plantlings presents a formidable challenge because of
the microscopic size of these organisms and the absence of distinguishing morphological …
the microscopic size of these organisms and the absence of distinguishing morphological …
A review of deep learning methods for compressed sensing image reconstruction and its medical applications
Compressed sensing (CS) and its medical applications are active areas of research. In this
paper, we review recent works using deep learning method to solve CS problem for images …
paper, we review recent works using deep learning method to solve CS problem for images …
An integrated framework of two-stream deep learning models optimal information fusion for fruits disease recognition
U Zahra, MA Khan, M Alhaisoni… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Diseases impact the rates of production of many agricultural goods. These diseases require
detection, which is difficult to do manually. Therefore, the creation of some automated illness …
detection, which is difficult to do manually. Therefore, the creation of some automated illness …
Classification of bread wheat genotypes by machine learning algorithms
Bread wheat, one of the staple food products, is a grain that forms the main ingredient of
flour used in bakery products, especially in bread. Wheat has a large market in the world …
flour used in bakery products, especially in bread. Wheat has a large market in the world …