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 …

ML based sustainable precision agriculture: A future generation perspective

R Priya, D Ramesh - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Agriculture is an essential source of survival and also accounts for the economic growth of
any country. Rapid advancement in precision agriculture has helped agriculture and its …

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 in agriculture: current trends, challenges, and future perspectives

SO Araújo, RS Peres, JC Ramalho, F Lidon, J Barata - Agronomy, 2023 - mdpi.com
Progress in agricultural productivity and sustainability hinges on strategic investments in
technological research. Evolving technologies such as the Internet of Things, sensors …

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 …

Applications of machine learning techniques in supply chain optimization

S Makkar, GNR Devi, VK Solanki - ICICCT 2019–System Reliability …, 2020 - Springer
Supply Chains (SC) are the network of facilities that include various entities in its network.
These entities should work cohesively to lower down the total cost of supply chain. This …

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

EB Tirkolaee, S Sadeghi, FM Mooseloo… - Mathematical …, 2021 - Wiley Online Library
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been replaced by concerns about too much data for supply chain management (SCM).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 …

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 …