An artificial intelligence-based stacked ensemble approach for prediction of protein subcellular localization in confocal microscopy images

S Aggarwal, S Gupta, D Gupta, Y Gulzar, S Juneja… - Sustainability, 2023 - mdpi.com
Predicting subcellular protein localization has become a popular topic due to its utility in
understanding disease mechanisms and developing innovative drugs. With the rapid …

A review of climate-smart agriculture: Recent advancements, challenges, and future directions

J Zhao, D Liu, R Huang - Sustainability, 2023 - mdpi.com
Global climate change has posed serious threats to agricultural production. Reducing
greenhouse gas (GHG) emissions and ensuring food security are considered the greatest …

Persistence, environmental hazards, and mitigation of pharmaceutically active residual contaminants from water matrices

RB González-González, P Sharma, SP Singh… - Science of The Total …, 2022 - Elsevier
Pharmaceutical compounds are designed to elicit a biological reaction in specific
organisms. However, they may also elicit a biological response in non-specific organisms …

[HTML][HTML] Artificial cognition for applications in smart agriculture: A comprehensive review

M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
Abstract Agriculture contributes to 6.4% of the entire world's economic production. In at least
nine countries of the world, agriculture is the dominant sector of the economy. Agriculture not …

Fruit detection and recognition based on deep learning for automatic harvesting: An overview and review

F Xiao, H Wang, Y Xu, R Zhang - Agronomy, 2023 - mdpi.com
Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …

Temporal quality degradation in AI models

D Vela, A Sharp, R Zhang, T Nguyen, A Hoang… - Scientific Reports, 2022 - nature.com
As AI models continue to advance into many real-life applications, their ability to maintain
reliable quality over time becomes increasingly important. The principal challenge in this …

Crime analysis using computer vision approach with machine learning

P William, A Shrivastava… - … Communications and 5G …, 2023 - Springer
Depending on the seriousness of the offence, any deliberate act that causes harm to oneself
or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …

Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep learning

M Vasileiou, LS Kyriakos, C Kleisiari, G Kleftodimos… - Crop Protection, 2023 - Elsevier
In the face of increasing agricultural demands and environmental concerns, the effective
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …

Applications of artificial neural networks in greenhouse technology and overview for smart agriculture development

A Escamilla-García, GM Soto-Zarazúa… - Applied Sciences, 2020 - mdpi.com
This article reviews the applications of artificial neural networks (ANNs) in greenhouse
technology, and also presents how this type of model can be developed in the coming years …

The digitalization of agriculture and rural areas: Towards a taxonomy of the impacts

S Rolandi, G Brunori, M Bacco, I Scotti - Sustainability, 2021 - mdpi.com
The literature about digitalization in agriculture and rural areas is vast and sectorial at the
same time. Both international political institutions and practitioners are interested in …