[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 …

Agro-waste to sustainable energy: A green strategy of converting agricultural waste to nano-enabled energy applications

GM Rani, D Pathania, R Umapathi, S Rustagi… - Science of The Total …, 2023 - Elsevier
The rising demands of the growing population have raised two significant global challenges
viz. energy crisis and solid-waste management, ultimately leading to environmental …

[HTML][HTML] Fruit image classification model based on MobileNetV2 with deep transfer learning technique

Y Gulzar - Sustainability, 2023 - mdpi.com
Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …

Opportunities of artificial intelligence and machine learning in the food industry

I Kumar, J Rawat, N Mohd, S Husain - Journal of Food Quality, 2021 - Wiley Online Library
The food processing and handling industry is the most significant business among the
various manufacturing industries in the entire world that subsidize the highest employability …

Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation

W Zhang, L Zhu, J Hallinan, S Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we propose a novel semi-supervised learning (SSL) framework named
BoostMIS that combines adaptive pseudo labeling and informative active annotation to …

[HTML][HTML] Smart industrial robot control trends, challenges and opportunities within manufacturing

J Arents, M Greitans - Applied Sciences, 2022 - mdpi.com
Industrial robots and associated control methods are continuously developing. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …

[HTML][HTML] Artificial intelligence, blockchain technology, and risk-taking behavior in the 4.0 IR Metaverse Era: evidence from Bangladesh-based SMEs

MRH Polas, AA Jahanshahi, AI Kabir… - Journal of Open …, 2022 - Elsevier
This study investigates the variables affecting the adoption of blockchain technology (BT)
among small and medium-sized enterprises (SMEs) with the application of artificial …

The quiet revolution in machine vision-a state-of-the-art survey paper, including historical review, perspectives, and future directions

ML Smith, LN Smith, MF Hansen - Computers in Industry, 2021 - Elsevier
Over the past few years, what might not unreasonably be described as a true revolution has
taken place in the field of machine vision, radically altering the way many things had …

Food quality 4.0: From traditional approaches to digitalized automated analysis

A Hassoun, S Jagtap, G Garcia-Garcia… - Journal of Food …, 2023 - Elsevier
Food quality has recently received considerable attention from governments, researchers,
and consumers due to the increasing demand for healthier and more nutritious food …

[HTML][HTML] Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

S Mohr, R Kühl - Precision Agriculture, 2021 - Springer
Abstract The use of Artificial Intelligence (AI) in agriculture is expected to yield advantages
such as savings in production resources, labor costs, and working hours as well as a …