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[HTML][HTML] Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation
The automation of all-terrain vehicles (ATVs) through the integration of advanced
technologies such as machine learning (ML) and artificial intelligence (AI) vision has …
technologies such as machine learning (ML) and artificial intelligence (AI) vision has …
Remote Sensing for Agriculture in the Era of Industry 5.0–A survey
N Victor, PKR Maddikunta, DRK Mary… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Agriculture can be regarded as the backbone of human civilization. As technology evolved,
the synergy between agriculture and remote sensing has brought about a paradigm shift …
the synergy between agriculture and remote sensing has brought about a paradigm shift …
Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review
N Ahmed, B Zhang, L Deng, B Bozdar, J Li… - Frontiers in Plant …, 2024 - frontiersin.org
Vegetable cultivation stands as a pivotal element in the agricultural transformation
illustrating a complex interplay between technological advancements, evolving …
illustrating a complex interplay between technological advancements, evolving …
Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach
MA Bhatti, MS Syam, H Chen, Y Hu, LW Keung… - Big Data Research, 2024 - Elsevier
This study presents the implementation and evaluation of a convolutional neural network
(CNN) based image segmentation model using the U-Net architecture for forest image …
(CNN) based image segmentation model using the U-Net architecture for forest image …
[HTML][HTML] Optical methods for the detection of plant pathogens and diseases
SV Gudkov, TA Matveeva, RM Sarimov, AV Simakin… - AgriEngineering, 2023 - mdpi.com
Plant diseases of an infectious nature are the reason for major economic losses in
agriculture throughout the world. The early, rapid and non-invasive detection of diseases …
agriculture throughout the world. The early, rapid and non-invasive detection of diseases …
Potato late blight severity monitoring based on the relief-mRmR algorithm with dual-drone cooperation
Abstract Late Blight in Potato, a prevalent potato disease, significantly impacts potato yield
and stands as one of the principal afflictions affecting the potato crop. Timely and effective …
and stands as one of the principal afflictions affecting the potato crop. Timely and effective …
Edge-cloud remote sensing data based plant disease detection using deep neural networks with transfer learning
MA Mohammed, A Lakhan… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
These days, the disease among different plants has been increasing day by day. It is a very
hard task for government institutions and farmers to collect data on plant diseases from …
hard task for government institutions and farmers to collect data on plant diseases from …
Understanding Phakopsora pachyrhizi in soybean: comprehensive insights, threats, and interventions from the Asian perspective
MM Hossain, F Sultana, L Yesmin… - Frontiers in …, 2024 - frontiersin.org
Soybean (Glycine max L.) is an important crop in Asia, accounting for 17% of global
soybean cultivation. However, this crop faces formidable challenges from the devastating …
soybean cultivation. However, this crop faces formidable challenges from the devastating …
Method for Monitoring Wheat Growth Status and Estimating Yield Based on UAV Multispectral Remote Sensing
J Zhu, Y Li, C Wang, P Liu, Y Lan - Agronomy, 2024 - mdpi.com
An efficient and accurate estimation of wheat growth and yield is important for wheat
assessment and field management. To improve the accuracy and stability of wheat growth …
assessment and field management. To improve the accuracy and stability of wheat growth …
[HTML][HTML] Review on main sources and impacts of urban ultrafine particles: traffic emissions, nucleation, and climate modulation
QQ Li, YT Guo, JY Yang, CS Liang - Atmospheric Environment: X, 2023 - Elsevier
Identifying and quantifying the sources and clarifying the impacts of ultrafine particles (UFP)
in the complicated urban environments are important for particle pollution control and UFP …
in the complicated urban environments are important for particle pollution control and UFP …