Machine learning applications in agriculture: current trends, challenges, and future perspectives

SO Araújo, RS Peres, JC Ramalho, F Lidon, J Barata - Agronomy, 2023 - mdpi.com
Progress in agricultural productivity and sustainability hinges on strategic investments in
technological research. Evolving technologies such as the Internet of Things, sensors …

Intelligent predictive maintenance and remote monitoring framework for industrial equipment based on mixed reality

D Mourtzis, J Angelopoulos… - Frontiers in Mechanical …, 2020 - frontiersin.org
The currently applied maintenance strategies, including Reactive and Preventive
maintenance can be considered obsolete. The constant improvements in Information and …

[图书][B] Entrepreneurship & Digitalisasi: Mengembangkan Bisnis di Era 5.0

M Fahrurrozi, MM SE - 2023 - books.google.com
Setelah menjelajahi hal-hal mendasar mengenai Entrepreneurship dan Digitalisasi, saatnya
kita melangkah lebih jauh ke dalam dunia yang dinamis ini. Buku ini dirancang untuk …

Intelligent data-driven decision support for agricultural systems-ID3SAS

SO Araújo, RS Peres, L Filipe, A Manta-Costa… - IEEE …, 2023 - ieeexplore.ieee.org
The agricultural sector worldwide faces serious problems regarding water scarcity, which
demands innovative management methods to optimise water use. In response, we propose …

Advancing Chatbot Conversations: A Review of Knowledge Update Approaches

LALF da Costa, MB Melchiades… - Journal of the …, 2024 - journals-sol.sbc.org.br
Conversational systems like chatbots have emerged as powerful tools for automating
interactive tasks traditionally confined to human involvement. Fundamental to chatbot …

Machine Learning Algorithms for Predictive Pest Modeling in Agricultural Crops

G Mustafa, Y Liu, H Zheng, M Zhou, IH Khan… - … Pest Management for …, 2024 - igi-global.com
Food security and maximum yield depend on accurate pest prediction and crop
management. An in-depth analysis of this cutting-edge area is the goal of this book chapter …

Bridging the Digital Divide: Unleashing the Power of Big Data Analytics for Touristic Destination Promotion

HAA Gaafar, BS Al-Romeedy - Marketing and Big Data Analytics in …, 2024 - igi-global.com
In an age marked by an abundance of information, the tourism industry grapples with the
task of effectively reaching and engaging potential visitors. This study explores the …

A framework for 5G network data analytics function with emphasis on anomaly detection

JM de Oliveira Pereira - 2024 - repositorio.ufmg.br
In the realm of 5G technology, the data analytics functionality, termed Network Dada
Analytics Function (NWDAF), was first introduced in Release 16, highlighting its significance …

[PDF][PDF] A study of the impact of technology on cybercrime in the public and private sectors in Nigeria

AD Adedoyin - 2023 - pure.port.ac.uk
This research used Nigeria as an exemplar to examine the social, economic, and cultural
characteristics of cybercrime and the impact of technology on cybercrime development …

[PDF][PDF] Recent Trends of Machine Learning Techniques on The Growth of Agricultural Sector of Assam

S Borthakur, RK Sahoo, S Mahanta… - International …, 2023 - researchgate.net
The agricultural sector in Assam, India, holds immense potential for economic growth and
rural development. However, harnessing this potential requires tackling challenges like low …