Enabling smart agriculture by implementing artificial intelligence and embedded sensing

A Sharma, M Georgi, M Tregubenko, A Tselykh… - Computers & Industrial …, 2022 - Elsevier
The increasing demand of smart agriculture has led to the significant growth and
development in the field of crop estimation and prediction improving its productivity. 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 …

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 …

Artificial intelligence in agriculture: a review

R Sharma - 2021 5th international conference on intelligent …, 2021 - ieeexplore.ieee.org
The United Nations Food and Agriculture Organization asserts that the whole world's
population would rise by an additional 2 billion in 2050, whereas at that time, the increased …

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 …

Impact of machine learning techniques in precision agriculture

R Katarya, A Raturi, A Mehndiratta… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Agriculture and its accessories contribute to approximately 17% of India's GDP and it is still
the most popular occupation amongst 70% of India's population. The agriculture sector …

[HTML][HTML] Artificial intelligence in agriculture: benefits, challenges, and trends

RC Oliveira, RDS Silva - Applied Sciences, 2023 - mdpi.com
The world's population has reached 8 billion and is projected to reach 9.7 billion by 2050,
increasing the demand for food production. Artificial intelligence (AI) technologies that …

[HTML][HTML] Recognition of bloom/yield in crop images using deep learning models for smart agriculture: A review

B Darwin, P Dharmaraj, S Prince, DE Popescu… - Agronomy, 2021 - mdpi.com
Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …

[HTML][HTML] Artificial cognition for applications in smart agriculture: A comprehensive review

M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
Abstract Agriculture contributes to 6.4% of the entire world's economic production. In at least
nine countries of the world, agriculture is the dominant sector of the economy. Agriculture not …

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 …