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] Digital Twins in Agriculture: A State-of-the-art review

W Purcell, T Neubauer - Smart Agricultural Technology, 2023 - Elsevier
Abstract The Digital Twin enables the distinctions between state sensing, entity
understanding and physical automation to be eliminated, through high-fidelity modelling and …

[HTML][HTML] Enhancing smart farming through the applications of Agriculture 4.0 technologies

M Javaid, A Haleem, RP Singh, R Suman - International Journal of …, 2022 - Elsevier
Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and
moves toward a smarter, more efficient, environmentally responsible agriculture sector …

[HTML][HTML] Digital twins in smart farming

C Verdouw, B Tekinerdogan, A Beulens, S Wolfert - Agricultural Systems, 2021 - Elsevier
Digital Twins are very promising to bring smart farming to new levels of farming productivity
and sustainability. A Digital Twin is a digital equivalent of a real-life object of which it mirrors …

From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges

Y Liu, X Ma, L Shu, GP Hancke… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The three previous industrial revolutions profoundly transformed agriculture industry from
indigenous farming to mechanized farming and recent precision agriculture. Industrial …

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 …

Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities

SO Araújo, RS Peres, J Barata, F Lidon, JC Ramalho - Agronomy, 2021 - mdpi.com
Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

Artificial intelligence and machine learning

N Kühl, M Schemmer, M Goutier, G Satzger - Electronic Markets, 2022 - Springer
Within the last decade, the application of “artificial intelligence” and “machine learning” has
become popular across multiple disciplines, especially in information systems. The two …

Sustainable crop and weed management in the era of the EU Green Deal: A survival guide

A Tataridas, P Kanatas, A Chatzigeorgiou… - Agronomy, 2022 - mdpi.com
Agricultural systems in the EU have become more vulnerable and less sustainable due to an
overreliance on herbicides and the tremendous increase in herbicide-resistant weeds. The …

Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges

M Torky, AE Hassanein - Computers and Electronics in Agriculture, 2020 - Elsevier
Blockchain quickly became an important technology in many applications of precision
agriculture discipline. The need to develop smart P2P systems capable of verifying …