[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 …

An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages

F Da Silveira, FH Lermen, FG Amaral - Computers and electronics in …, 2021 - Elsevier
Agriculture 4.0 upgrades traditional production methods and world agriculture strategies to
an optimized value chain using a range of emerging technologies that enhance disruptive …

[HTML][HTML] Digital livestock farming

S Neethirajan, B Kemp - Sensing and Bio-Sensing Research, 2021 - Elsevier
As the global human population increases, livestock agriculture must adapt to provide more
livestock products and with improved efficiency while also addressing concerns about …

[HTML][HTML] The role of sensors, big data and machine learning in modern animal farming

S Neethirajan - Sensing and Bio-Sensing Research, 2020 - Elsevier
Ever since man began domesticating animals several thousand years ago, we have always
relied on our intuition, collective knowledge, and sensory signals to make effective animal …

A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production?

D Lovarelli, J Bacenetti, M Guarino - Journal of Cleaner Production, 2020 - Elsevier
Abstract Precision Livestock Farming (PLF) is spreading worldwide for its applications on
livestock farms, in both intensive and extensive systems. PLF has started being adopted only …

A survey on the role of iot in agriculture for the implementation of smart livestock environment

MS Farooq, OO Sohail, A Abid, S Rasheed - IEEE Access, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging paradigm that is transforming real-world things
(objects) into smarter devices. IoT is applicable to a variety of application domains including …

Artificial intelligence technology in the agricultural sector: A systematic literature review

E Elbasi, N Mostafa, Z AlArnaout, AI Zreikat… - IEEE …, 2022 - ieeexplore.ieee.org
Due to the increasing global population and the growing demand for food worldwide as well
as changes in weather conditions and the availability of water, artificial intelligence (AI) such …

[HTML][HTML] Artificial intelligence applications in the agrifood sectors

I Kutyauripo, M Rushambwa, L Chiwazi - Journal of Agriculture and Food …, 2023 - Elsevier
Food security is one of the priorities of every country in the World. However, different factors
are making it difficult to meet global targets on food security. Some unprecedented shocks …

The digitalization of agriculture and rural areas: Towards a taxonomy of the impacts

S Rolandi, G Brunori, M Bacco, I Scotti - Sustainability, 2021 - mdpi.com
The literature about digitalization in agriculture and rural areas is vast and sectorial at the
same time. Both international political institutions and practitioners are interested in …

[HTML][HTML] Drivers, barriers and impacts of digitalisation in rural areas from the viewpoint of experts

A Ferrari, M Bacco, K Gaber, A Jedlitschka… - Information and …, 2022 - Elsevier
Context: The domain of rural areas, including rural communities, agriculture, and forestry, is
going through a process of deep digital transformation. Digitalisation can have positive …