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Information Processing in Agriculture
JournalCitation impact & published research
Information Processing in Agriculture is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 637 works, 22,461 citations, an h-index of 74 and an APC (USD) of 2,000.
637
Works
22,461
Citations
74
h-index
2,000
APC (USD)
IDs:OpenAlex
What are the most-cited papers on Information Processing in Agriculture?
ScholarIQmost cited works
Recent advances in image processing techniques for automated leaf pest and disease recognition – A review
Lawrence C. Ngugi, Moataz Abelwahab, Mohammed Abo‐Zahhad
Information Processing in Agriculture. 2020492 CitationsOPEN ACCESS
Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks
Miaomiao Ji, Lei Zhang, Qiufeng Wu
Information Processing in Agriculture. 2019229 CitationsOPEN ACCESS
Maturity status classification of papaya fruits based on machine learning and transfer learning approach
Santi Kumari Behera, Amiya Kumar Rath, Prabira Kumar Sethy
Information Processing in Agriculture. 2020197 CitationsOPEN ACCESS
Advanced agricultural disease image recognition technologies: A review
Yuan Yuan, Lei Chen, Huarui Wu, Lin Li
Information Processing in Agriculture. 2021121 CitationsOPEN ACCESS
ResTS: Residual Deep interpretable architecture for plant disease detection
Dhruvil Shah, Vishvesh Trivedi, Vinay Sheth, Aakash Shah, Uttam Chauhan
Information Processing in Agriculture. 2021107 CitationsOPEN ACCESS
Related on ScholarIQ
Recent advances in image processing techniques for automated leaf pest and disease recognition – A review
Paper
Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks
Paper
Maturity status classification of papaya fruits based on machine learning and transfer learning approach
Paper
Advanced agricultural disease image recognition technologies: A review
Paper
ResTS: Residual Deep interpretable architecture for plant disease detection
Paper
Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Paper