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AgriEngineering

JournalCitation impact & published research

AgriEngineering is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 1,415 works, 10,775 citations, an h-index of 39 and an APC (USD) of 1,559.

1,415
Works
10,775
Citations
39
h-index
1,559
APC (USD)

What are the most-cited papers on AgriEngineering?

ScholarIQmost cited works
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Mohamed Arselene Ayari, Aftab Ullah Khan, Muhammad Salman Khan, Nasser Al‐Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Sawal Hamid Md Ali
AgriEngineering. 2021389 CitationsOPEN ACCESS
Opportunities for Robotic Systems and Automation in Cotton Production
Edward M. Barnes, Gaylon D. Morgan, Kater Hake, Jon Devine, Ryan Kurtz, Gregory A. Ibendahl, Ajay Sharda, Glen C. Rains, John L. Snider, Joe Mari Maja, J. Alex Thomasson, Yuzhen Lu, Hussein Gharakhani, James M. Griffin, Emi Kimura, Robert G. Hardin, Tyson B. Raper, Sierra Young, Kadeghe G. Fue, Mathew G. Pelletier, John D. Wanjura, Gregory Holt
AgriEngineering. 202137 CitationsOPEN ACCESS
Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models
Jingzhi Wang, Jiayuan Li, Fanjia Meng
AgriEngineering. 20253 CitationsOPEN ACCESS
A Smart AIoT-Based Mobile Application for Plant Disease Detection and Environment Management in Small-Scale Farms Using MobileViT
Mohamed Bahaa, Abdelrahman Hesham, Fady Ashraf, Lamiaa Abdel-Hamid
AgriEngineering. 20263 CitationsOPEN ACCESS

Related on ScholarIQ

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
Paper
Opportunities for Robotic Systems and Automation in Cotton Production
Paper
Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models
Paper
A Smart AIoT-Based Mobile Application for Plant Disease Detection and Environment Management in Small-Scale Farms Using MobileViT
Paper
Agri-DSSA: A Dual Self-Supervised Attention Framework for Multisource Crop Health Analysis Using Hyperspectral and Image-Based Benchmarks
Paper
Deep Learning-Driven Plant Pathology Assistant: Enabling Visual Diagnosis with AI-Powered Focus and Remediation Recommendations for Precision Agriculture
Paper
470M+ articles · free account