Revolutionizing Agriculture: A Comprehensive Review of Artificial Intelligence Techniques in Farming

GS Kashyap, P Kamani, M Kanojia, S Wazir, K Malik… - 2024 - researchsquare.com
Artificial Intelligence (AI) is a relatively new branch of information technology. It is one of the
pillars of many industrial innovations, as well as a critical component in supporting and …

Enhancing supply chain resilience in smes: A deep learning-based approach to managing Covid-19 disruption risks

KX Sun, KB Ooi, GWH Tan, VH Lee - Journal of Enterprise Information …, 2023 - emerald.com
Purpose This research examines the relationships between the components of supply chain
integration (SCI)(ie internal integration (INI), customer integration (CI) and supplier …

[HTML][HTML] Optimizing machine learning for agricultural productivity: A novel approach with RScv and remote sensing data over Europe

SBHS Asadollah, A Jodar-Abellan, MÁ Pardo - Agricultural Systems, 2024 - Elsevier
CONTEXT Accurate estimating of crop yield is crucial for developing effective global food
security strategies which can lead to reduce of hunger and more sustainable development …

Unleashing the value of artificial intelligence in the agri-food sector: where are we?

M Trabelsi, E Casprini, N Fiorini, L Zanni - British Food Journal, 2023 - emerald.com
Purpose This study analyses the literature on artificial intelligence (AI) and its implications
for the agri-food sector. This research aims to identify the current research streams, main …

Evaluating the intention to use Industry 5.0 (I5. 0) drones for cleaner production in Sustainable Food Supply Chains: an emerging economy context

K Mahroof, A Omar, E Vann Yaroson… - Supply Chain …, 2024 - emerald.com
Purpose The purpose of this study is to evaluate food supply chain stakeholders' intention to
use Industry 5.0 (I5. 0) drones for cleaner production in food supply chains …

Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment

KB Chhetri - Food Engineering Reviews, 2024 - Springer
To ensure food safety and uphold high standards, the food business must overcome
significant obstacles. In recent years, promising answers to these issues have emerged in …

Challenges facing artificial intelligence adoption during COVID-19 pandemic: an investigation into the agriculture and agri-food supply chain in India

D Mishra, K Muduli, R Raut, BE Narkhede, H Shee… - Sustainability, 2023 - mdpi.com
The coronavirus (COVID-19) pandemic has witnessed a significant loss for farming in India
due to restrictions on movement, limited social interactions and labor shortage. In this …

Review on Chinese agricultural science and technology research from a low-carbon economy perspective: hotspots, evolution, and frontiers

W Jin, S Wu, Y Zhang, G Zhou, L Xu… - Frontiers in Environmental …, 2023 - frontiersin.org
Against the background of global climate change, agricultural science and technology play a
vital role in achieving a low-carbon economy and sustainable development. Based on the …

Design science research in operations management: is there a single type?

G Bagni, M Godinho Filho, M Finne… - Production Planning & …, 2024 - Taylor & Francis
Although many authors claimed that Design Science Research (DSR) could bring new
insights to Operations Management (OM), this research method is still little used in OM …

Using AI to improve sustainable agricultural practices: A literature review and research agenda

V Lakshmi, J Corbett - … of the Association for Information Systems, 2023 - aisel.aisnet.org
The world is confronted with the grand challenge of food insecurity amidst growing
populations and the climate crisis. Artificial intelligence (AI) deployed in agricultural decision …