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] 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 …

Artificial intelligence in develo** countries: The impact of generative artificial intelligence (AI) technologies for development

NR Mannuru, S Shahriar, ZA Teel… - Information …, 2023‏ - journals.sagepub.com
This paper explores the potential impact of Generative Artificial Intelligence (Generative AI)
on develo** countries, considering both positive and negative effects across various …

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 …

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 …

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 develo**. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …

Artificial intelligence: Implications for the agri-food sector

A Taneja, G Nair, M Joshi, S Sharma, S Sharma… - Agronomy, 2023‏ - mdpi.com
Artificial intelligence (AI) involves the development of algorithms and computational models
that enable machines to process and analyze large amounts of data, identify patterns and …

Internet of Things in food processing and its potential in Industry 4.0 era: A review

H Dadhaneeya, PK Nema, VK Arora - Trends in Food Science & …, 2023‏ - Elsevier
Background Food processing is a technique to convert agricultural produce into a
consumable food product with enhanced shelf life. The advent of Industry 4.0 greatly …

Recent advances in artificial intelligence towards the sustainable future of agri-food industry

PC Nath, AK Mishra, R Sharma, B Bhunia, B Mishra… - Food Chemistry, 2024‏ - Elsevier
Artificial intelligence has the potential to alter the agricultural and food processing industries,
with significant ramifications for sustainability and global food security. The integration of …

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 …