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 …

Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

SS Kamble, A Gunasekaran, SA Gawankar - International Journal of …, 2020 - Elsevier
The lack of industrialization, inadequacy of the management, information inaccuracy, and
inefficient supply chains are the significant issues in an agri-food supply chain. The …

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] Application of machine learning in supply chain management: a comprehensive overview of the main areas

EB Tirkolaee, S Sadeghi, FM Mooseloo… - Mathematical …, 2021 - hindawi.com
In today's complex and ever-changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …

Sustainable computing in smart agriculture: survey and challenges

J Nie, Y Wang, Y Li, X Chao - Turkish Journal of Agriculture …, 2022 - journals.tubitak.gov.tr
Research on sustainable computing in agriculture has a great potential as an effective way
to solve most agricultural technology bottlenecks, save resource costs, and drive sustainable …

A systematic review of the research trends of machine learning in supply chain management

D Ni, Z Xiao, MK Lim - International Journal of Machine Learning and …, 2020 - Springer
Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

A systematic review of machine learning in logistics and supply chain management: current trends and future directions

M Akbari, TNA Do - Benchmarking: An International Journal, 2021 - emerald.com
Purpose This paper presents a review of the existing state-of-the-art literature on machine
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …

Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

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 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 …