Machine Learning for Smart Agriculture: A Comprehensive Survey

MR Mahmood, MA Matin, SK Goudos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As communication technologies and equipment evolve, smart assets become smarter. The
agricultural industry is also evolving in line with the implementation of modern …

Evaluation of Machine Learning approaches for precision Farming in Smart Agriculture System-A comprehensive Review

G Mohyuddin, MA Khan, A Haseeb, S Mahpara… - IEEE …, 2024 - ieeexplore.ieee.org
In the era of digital data proliferation, agriculture stands on the cusp of a transformative
revolution driven by Machine Learning (ML). This study delves into the intricate interplay …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades

S Condran, M Bewong, MZ Islam, L Maphosa… - IEEE …, 2022 - ieeexplore.ieee.org
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

Machine learning and artificial intelligence for smart agriculture

C Zhang, DS Park, S Yoon, S Zhang - Frontiers in Plant Science, 2023 - frontiersin.org
Information, knowledge and equipment are the three main components of smart agriculture.
This special edition focuses on a few issues that still require research and discussion. For …

Machine learning approaches for smart agriculture

RRR Gandhi, JAI Chellam, TN Prabhu… - 2022 6th …, 2022 - ieeexplore.ieee.org
India's agricultural sector is an essential component of the country's economy. More over
half of the population in India relies on agriculture. This is high time that the Country needs …

Artificial intelligence best practices in smart agriculture

FK Shaikh, MA Memon, NA Mahoto, S Zeadally… - IEEE micro, 2021 - ieeexplore.ieee.org
Smart agriculture, with the aid of artificial intelligence (AI), is playing a pivotal role to ensure
agriculture sustainability. AI techniques are employed in soil and irrigation management …

Machine Learning Enabled Smart Farming: The Demand of the Time

HS Negi, SC Dimri - 2022 Seventh International Conference on …, 2022 - ieeexplore.ieee.org
As we all know that population is increasing day by day; simultaneously we need increase in
agro production so that India should be self reliance in the field of production of all types of …

Exploring the Potential of Machine Learning in Enhancing Agricultural Practices and Food Production

S Yadav, M Rajendaran, A Nagpal… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
As the world's population rises, the agricultural industry must find ways to increase food
production while reducing waste and pollution. Machine learning is an AI branch that has …