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Smart Agriculture and AI
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the advancements in precision agriculture technologies, including the use of deep learning, machine learning, and image processing for plant disease detection, crop yield prediction, and environmental monitoring. It also explores the integration of Internet of Things (IoT) and wireless sensor networks in smart farming, as well as the application of agricultural robotics for automated tasks. The research emphasizes the potential of these technologies to revolutionize farming practices and contribute to sustainable agriculture.
1,102
Works
IDs:OpenAlex
How has Smart Agriculture and AI's publication output changed over time?
ScholarIQpublication output · 2016–2023
Output grew0% over the shown period — from 1 works in 2016 to 1 in 2023.
1
2
4
2
5
1
201620172018201920202023
What are the most-cited papers on Smart Agriculture and AI?
ScholarIQmost cited works
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
Srdjan Sladojević, Marko Arsenović, Andraš Anderla, Dubravko Ćulibrk, Darko Stefanović
S72372694. 20161,960 CitationsOPEN ACCESS
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Alvaro Fuentes, Sook Yoon, Sang Ryong Kim, Dong Jun Park
Sensors. 20171,549 CitationsOPEN ACCESS
Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Abhinav Sharma, Arpit Jain, Prateek Gupta, Vinay Chowdary
IEEE Access. 20201,053 CitationsOPEN ACCESS
Using deep transfer learning for image-based plant disease identification
Junde Chen, Jinxiu Chen, Defu Zhang, Yuandong Sun, Yaser A. Nanehkaran
Computers and Electronics in Agriculture. 20201,023 Citations
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
S4210230202. 2019856 CitationsOPEN ACCESS
Where is Smart Agriculture and AI research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Smart Agriculture and AI is open access?
ScholarIQopen access share
60%OPEN ACCESS
Gold
47%
Green
7%
Hybrid
7%
Bronze
0%
Closed
40%
Related on ScholarIQ
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
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A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
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Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Paper
Using deep transfer learning for image-based plant disease identification
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Deep learning based multi-temporal crop classification
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