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 …

[HTML][HTML] The digitization of agricultural industry–a systematic literature review on agriculture 4.0

R Abbasi, P Martinez, R Ahmad - Smart Agricultural Technology, 2022 - Elsevier
Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …

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] Machine learning in agriculture domain: A state-of-art survey

V Meshram, K Patil, V Meshram, D Hanchate… - Artificial Intelligence in …, 2021 - Elsevier
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …

Advancing biosensors with machine learning

F Cui, Y Yue, Y Zhang, Z Zhang, HS Zhou - ACS sensors, 2020 - ACS Publications
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

R Sharma, SS Kamble, A Gunasekaran… - Computers & Operations …, 2020 - Elsevier
Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …

Machine learning in agriculture: A review

KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis - Sensors, 2018 - mdpi.com
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …

Artificial intelligence to improve the food and agriculture sector

R Ben Ayed, M Hanana - Journal of Food Quality, 2021 - Wiley Online Library
The world population is expected to reach over 9 billion by 2050, which will require an
increase in agricultural and food production by 70% to fit the need, a serious challenge for …

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

A Chlingaryan, S Sukkarieh, B Whelan - Computers and electronics in …, 2018 - Elsevier
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

Recent advances in machine learning for fiber optic sensor applications

A Venketeswaran, N Lalam… - Advanced Intelligent …, 2022 - Wiley Online Library
Over the last three decades, fiber optic sensors (FOS) have gained a lot of attention for their
wide range of monitoring applications across many industries, including aerospace …