Use and adaptations of machine learning in big data—Applications in real cases in agriculture

A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …

Artificial intelligence in teleradiology: A rapid review of educational and professional contributions

MD Lobo - Handbook of Research on Instructional Technologies …, 2023 - igi-global.com
In recent years, artificial intelligence (AI) has been progressively merging into the daily
practice of many healthcare professionals. Radiology is a branch of medicine that can …

Leveraging ethical standards in artificial intelligence technologies: A guideline for responsible teaching and learning applications

GN Uunona, L Goosen - … of research on instructional technologies in …, 2023 - igi-global.com
Artificial intelligence (AI) is revolutionizing the field of education by providing new
opportunities for online learning. However, as with any technology, there are ethical …

Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application

RK Solanki, AS Rajawat, AR Gadekar… - Handbook of research …, 2023 - igi-global.com
The healthcare industry is facing numerous challenges in providing efficient and effective
care to patients, including increased demand, limited resources, and a growing shortage of …

Development of monitoring robot system for tomato fruits in hydroponic greenhouses

D Seo, BH Cho, KC Kim - Agronomy, 2021 - mdpi.com
Crop monitoring is highly important in terms of the efficient and stable performance of tasks
such as planting, spraying, and harvesting, and for this reason, several studies are being …

Visual analysis of cardiac arrest prediction using Machine learning algorithms: A health education awareness initiative

N Mishra, NP Desai, A Wadhwani… - Handbook of Research …, 2023 - igi-global.com
A visual analysis may accurately predict cardiac arrest, making it a potent educational tool
for raising public awareness of health issues. By predicting cardiac arrest earlier …

Survey of intelligent agricultural IoT based on 5G

J Liu, L Shu, X Lu, Y Liu - Electronics, 2023 - mdpi.com
In the future, agriculture will face the need for increasing production, sustainability, wisdom,
and efficiency, which will bring significant challenges to the development of modern …

Stacking-based and improved convolutional neural network: a new approach in rice leaf disease identification

L Yang, X Yu, S Zhang, H Zhang, S Xu… - Frontiers in Plant …, 2023 - frontiersin.org
Rice leaf diseases are important causes of poor rice yields, and accurately identifying
diseases and taking corresponding measures are important ways to improve yields …

Particle swarm optimization in biomedical technologies: innovations, challenges, and opportunities

K Suriyan, R Nagarajan - … for Health Literacy and Medical Practice, 2024 - igi-global.com
This chapter explores particle swarm optimization (PSO) in the rapidly evolving landscape of
biomedical technologies. The study begins by introducing the fundamental principles of …

Using fuzzy mask R-CNN model to automatically identify tomato ripeness

YP Huang, TH Wang, H Basanta - IEEE Access, 2020 - ieeexplore.ieee.org
Manual inspection and harvesting of ripening tomatoes is time consuming and labor
intensive. Smart agriculture can emphasize the use of digital horticultural resources for …