[HTML][HTML] Integrating artificial intelligence and high-throughput phenotyping for crop improvement
Crop improvement is crucial for addressing the global challenges of food security and
sustainable agriculture. Recent advancements in high-throughput phenotyping (HTP) …
sustainable agriculture. Recent advancements in high-throughput phenotyping (HTP) …
Blockchain with IoT and AI: A review of agriculture and healthcare
Abstract Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) are remarkable
emerging technologies in the coming few decades. Blockchain technology makes the …
emerging technologies in the coming few decades. Blockchain technology makes the …
From data to decisions: Leveraging artificial intelligence and machine learning in combating antimicrobial resistance–A comprehensive review
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
Deep learning ensemble-based automated and high-performing recognition of coffee leaf disease
Coffee is the world's most traded tropical crop, accounting for most export profits, and is a
significant source of income for the countries in which it is produced. To meet the needs of …
significant source of income for the countries in which it is produced. To meet the needs of …
Optical coherence tomography image based eye disease detection using deep convolutional neural network
Puneet, R Kumar, M Gupta - Health Information Science and Systems, 2022 - Springer
Over the past few decades, health care industries and medical practitioners faced a lot of
obstacles to diagnosing medical-related problems due to inadequate technology and …
obstacles to diagnosing medical-related problems due to inadequate technology and …
Increased nerve density adversely affects outcome in oral cancer
Purpose: Perineural invasion (PNI) in oral cavity squamous cell carcinoma (OSCC) is
associated with poor survival. Because of the risk of recurrence, patients with PNI receive …
associated with poor survival. Because of the risk of recurrence, patients with PNI receive …
Water body mapping using long time series Sentinel-1 SAR data in Poyang Lake
G Shen, W Fu, H Guo, J Liao - Water, 2022 - mdpi.com
Mapping water bodies with a high accuracy is necessary for water resource assessment,
and mapping them rapidly is necessary for flood monitoring. Poyang Lake is the largest …
and mapping them rapidly is necessary for flood monitoring. Poyang Lake is the largest …
A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
Estimating the number of occupants and activity intensity in large spaces with environmental sensors
Recently, occupant-centered control models have been widely discussed, with intelligent
control models looking for more refined and dynamic regulation based on occupant …
control models looking for more refined and dynamic regulation based on occupant …