Smart Agriculture and AI
Smart Agriculture and AI is a research topic within Plant Science. Science Explorer counts 40k research works in it since 1950. 25.4% of them reached the world's top 10% most cited for their field and year.
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.
- Deep Learning
- Plant Disease Detection
- Smart Farming
- Internet of Things (IoT)
- Machine Learning
- Crop Yield Prediction
- Wireless Sensor Networks
- Image Processing
- Agricultural Robotics
- Environmental Monitoring
- Research works
- 40k fractional, since 1950
- In the world top 10%
- 10k per year above
- Top-10% rate
- 25.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +312% the tick is no change
Which countries lead Smart Agriculture and AI research?
By volume, India and China publish the most (7.7k and 4.2k works in 2022–2025).
By volume, 2022–2025
- 1 India 7.7k works
- 2 China 4.2k works
- 3 United States 1.2k works
- 4 Indonesia 983 works
- 5 ?? 456 works
- 6 Bangladesh 454 works
- 7 Malaysia 415 works
- 8 Türkiye 363 works
- 9 Brazil 349 works
- 10 Japan 343 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Smart Agriculture and AI research?
By volume in 2022–2025, Chitkara University publishes the most Smart Agriculture and AI research, followed by SRM Institute of Science and Technology and Saveetha University.
By volume, 2022–2025
- 1 Chitkara University India 339 works
- 2 SRM Institute of Science and Technology India 246 works
- 3 Saveetha University India 212 works
- 4 Vellore Institute of Technology University India 203 works
- 5 China Agricultural University China 180 works
- 6 Graphic Era University India 178 works
- 7 Chandigarh University India 152 works
- 8 Amrita Vishwa Vidyapeetham India 143 works
- 9 Lovely Professional University India 133 works
- 10 Ministry of Agriculture and Rural Affairs China 109 works
Who are the leading researchers in Smart Agriculture and AI?
The most-cited researchers publishing on Smart Agriculture and AI include Ghobad Moradi.
- 1 Ghobad Moradi 3.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Smart Agriculture and AI research done?
The largest centres of Smart Agriculture and AI research in 2022–2025 are Chennai (India), Beijing (China), Coimbatore (India) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Gunupur, Coimbatore and Srivilliputhur.
Largest cities, 2022–2025
- 1 Chennai India 941 works
- 2 Beijing China 766 works
- 3 Coimbatore India 422 works
- 4 Bengaluru India 387 works
- 5 Chandigarh India 357 works
- 6 Pune India 354 works
- 7 Dhaka Bangladesh 311 works
- 8 Dehra Dūn India 263 works
- 9 Hyderabad India 233 works
- 10 Vellore India 207 works
Where it is the local speciality
- GunupurIN · 23.2 works28×
- Coimbatore40.0 works21×
- SrivilliputhurIN · 71.0 works21×
Location quotient: how much more of its research is in Smart Agriculture and AI than the world average.
Where is the best place to study Smart Agriculture and AI?
Among universities, judged by research, China Agricultural University, Vellore Institute of Technology University and Chitkara University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | China Agricultural University China | 70.6 | 51.1% | 15.1× | 180 | +25.1% |
| 2 | Vellore Institute of Technology University India | 69.5 | 27.4% | 9.6× | 203 | +2459.2% |
| 3 | Chitkara University India | 67.6 | 33.0% | 40.8× | 339 | — |
| 4 | Lovely Professional University India | 66.9 | 22.0% | 12.6× | 133 | +392.9% |
| 5 | South China Agricultural University China | 66.8 | 51.2% | 12.7× | 95 | +31.8% |
| 6 | Northwest A&F University China | 66.1 | 54.8% | 6.3× | 52 | +284.7% |
| 7 | Amrita Vishwa Vidyapeetham India | 65.2 | 19.8% | 12.6× | 144 | +2501.6% |
| 8 | Assam University India | 64.7 | 64.2% | 14.7× | 22 | — |
| 9 | Koneru Lakshmaiah Education Foundation India | 64.1 | 22.8% | 13.5× | 82 | +745.0% |
| 10 | Shandong Agricultural University China | 63.6 | 32.6% | 10.9× | 41 | +302.0% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Smart Agriculture and AI research growing?
Output in 2018–2022 was 312% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Smart Agriculture and AI.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.