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Smart Agricultural Technology

JournalCitation impact & published research

Smart Agricultural Technology is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 2,421 works, 20,854 citations, an h-index of 61 and an APC (USD) of 1,800.

2,421
Works
20,854
Citations
61
h-index
1,800
APC (USD)

What are the most-cited papers on Smart Agricultural Technology?

ScholarIQmost cited works
Smart applications and digital technologies in viticulture: A review
Javier Tardáguila, Manfred Stoll, Salvador Gutiérrez, Tony Proffitt, María P. Diago
Smart Agricultural Technology. 2021139 CitationsOPEN ACCESS
Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning
Xue Zhou, Won Suk Lee, Yiannis Ampatzidis, Yang Chen, Natália A. Peres, Clyde W. Fraisse
Smart Agricultural Technology. 2021111 CitationsOPEN ACCESS
A comprehensive analysis of the advances in Indian Digital Agricultural architecture
Acharya Balkrishna, Rakshit Pathak, Sandeep Kumar, Vedpriya Arya, Sumit Kumar Singh
Smart Agricultural Technology. 202371 CitationsOPEN ACCESS
Automated on-site broiler live weight estimation through YOLO-based segmentation
Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El‐Messery, Tarek Abd El‐Hafeez, Mohamed F. Abdelshafie, Gomaa Galal Abd El‐wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel
Smart Agricultural Technology. 202564 CitationsOPEN ACCESS
An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization
Md. Anisur Rahman, Narayan Ranjan Chakraborty, Abu Sufiun, Sumit Kumar Banshal, Fowzia Rahman Tajnin
Smart Agricultural Technology. 202442 CitationsOPEN ACCESS

Related on ScholarIQ

Smart applications and digital technologies in viticulture: A review
Paper
Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning
Paper
A comprehensive analysis of the advances in Indian Digital Agricultural architecture
Paper
Automated on-site broiler live weight estimation through YOLO-based segmentation
Paper
An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization
Paper
ToT-Net: A generalized and real-time crop disease detection framework via task-level meta-learning and lightweight multi-scale transformer
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470M+ articles · free account