[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

Machine learning applications for precision agriculture: A comprehensive review

A Sharma, A Jain, P Gupta, V Chowdary - IEEE Access, 2020 - ieeexplore.ieee.org
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …

[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Artificial intelligence in the industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from …

D Mhlanga - Sustainability, 2021 - mdpi.com
Artificial intelligence in the fourth industrial revolution is beginning to live up to its promises
of delivering real value necessitated by the availability of relevant data, computational …

[HTML][HTML] Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies

O Friha, MA Ferrag, L Shu, L Maglaras… - IEEE/CAA Journal of …, 2021 - ieee-jas.net
This paper presents a comprehensive review of emerging technologies for the internet of
things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and …

A systematic review of IoT solutions for smart farming

E Navarro, N Costa, A Pereira - Sensors, 2020 - mdpi.com
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction

M Rashid, BS Bari, Y Yusup, MA Kamaruddin… - IEEE …, 2021 - ieeexplore.ieee.org
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …

Agriculture 4.0: A systematic literature review on the paradigm, technologies and benefits

F Maffezzoli, M Ardolino, A Bacchetti, M Perona… - Futures, 2022 - Elsevier
Demographics will increase the demand for food and reduce the availability of labour in
many countries all over the world. Moreover, scarcity of natural resources, climate change …

Deep neural networks to predict diabetic retinopathy

TR Gadekallu, N Khare, S Bhattacharya… - Journal of Ambient …, 2023 - Springer
Diabetic retinopathy is a prominent cause of blindness among elderly people and has
become a global medical problem over the last few decades. There are several scientific …

Machine learning techniques in wireless sensor network based precision agriculture

Y Mekonnen, S Namuduri, L Burton… - Journal of the …, 2019 - iopscience.iop.org
The use of sensors and the Internet of Things (IoT) is key to moving the world's agriculture to
a more productive and sustainable path. Recent advancements in IoT, Wireless Sensor …