Machine learning for detection and prediction of crop diseases and pests: A comprehensive survey

T Domingues, T Brandão, JC Ferreira - Agriculture, 2022 - mdpi.com
Considering the population growth rate of recent years, a doubling of the current worldwide
crop productivity is expected to be needed by 2050. Pests and diseases are a major …

[图书][B] Biochar and application of machine learning: a review

K Ukoba, TC Jen - 2022 - intechopen.com
This study discusses biochar and machine learning application. Concept of biochar,
machine learning and different machine learning algorithms used for predicting adsorption …

Machine learning-enabled optimization of extrusion-based 3D printing

SR Dabbagh, O Ozcan, S Tasoglu - Methods, 2022 - Elsevier
Abstract Machine learning (ML) and three-dimensional (3D) printing are among the fastest-
growing branches of science. While ML can enable computers to independently learn from …

Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges

S Jha, M Yen, YS Salinas, E Palmer… - Journal of Materials …, 2023 - pubs.rsc.org
Machine learning (ML) has been the focus in recent studies aiming to improve battery and
supercapacitor technology. Its application in materials research has demonstrated promising …

Plant disease detection using web application by neural network

K Mridha, A Ranpariya, S Kumbhani… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
The fundamental necessity for each country is agricultural products. This affects agricultural
productivity in the country and its financial opportunities if plants are afflicted with illnesses …

Web based brain tumor detection using neural network

K Mridha, AP Pandey, A Ranpariya… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
The brain tumor is a major human life concern. One of the main causes of mortality in
individuals is brain tumors in recent years. It is tough to manually detect the tumor. Doctors …

Smart Drone Controller Framework—Toward an Internet of Drones

CS Veerappan, PKK Loh, RJ Chennattu - AI and IoT for Smart City …, 2022 - Springer
There has been an increasing trend to use multiple drones to cooperate autonomously
beyond visual line-of-sight missions such as remote services, digital governance and …

Traffic control system for smart city using image processing

V Bhardwaj, Y Rasamsetti, V Valsan - AI and IoT for Smart City applications, 2022 - Springer
Due to the quickly changing population with the economic development of the country, traffic
congestion has come out as a serious threat to society. Since the present traffic system is …

Cause Analysis and Accident Classification of Road Traffic Accidents Based on Complex Networks

Y Wang, H Zhai, X Cao, X Geng - Applied Sciences, 2023 - mdpi.com
The number of motor vehicles on the road is constantly increasing, leading to a rise in the
number of traffic accidents. Accurately identifying the factors contributing to these accidents …

Field oriented control of permanent magnet synchronous motor (PMSM) driven electric vehicle and its performance analysis

R Gora, R Biswas, RK Garg… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
This research paper presents speed control of a Permanent Magnet Synchronous Motor
(PMSM) driven Electric Vehicle (EV) using the Field Oriented Control (FOC) technique for a …