[HTML][HTML] The digitization of agricultural industry–a systematic literature review on agriculture 4.0
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 …
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 …
viz. energy crisis and solid-waste management, ultimately leading to environmental …
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 …
devices has increased significantly. Researchers have started using deep learning models …
Opportunities of artificial intelligence and machine learning in the food industry
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 …
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
In this paper, we propose a novel semi-supervised learning (SSL) framework named
BoostMIS that combines adaptive pseudo labeling and informative active annotation to …
BoostMIS that combines adaptive pseudo labeling and informative active annotation to …
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 …
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
This study investigates the variables affecting the adoption of blockchain technology (BT)
among small and medium-sized enterprises (SMEs) with the application of artificial …
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
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 …
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
Food quality has recently received considerable attention from governments, researchers,
and consumers due to the increasing demand for healthier and more nutritious food …
and consumers due to the increasing demand for healthier and more nutritious food …
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 …
such as savings in production resources, labor costs, and working hours as well as a …