Science Explorer Back to mapMap
Discussion
Topic · Plant Science

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. 9.9% 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%
3.9k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+197%
the tick is no change
Largest producer
India
47% of the 10 largest, 2022-now
Smart Agriculture and AI

Which countries lead Smart Agriculture and AI research?

By volume, India and China publish the most (8.8k and 5k works in 2022-now).

By volume, 2022-now

  1. 1 India 8.8k works
  2. 2 China 5k works
  3. 3 United States 1.4k works
  4. 4 Indonesia 1.1k works
  5. 5 Bangladesh 524 works
  6. 6 ?? 497 works
  7. 7 Malaysia 445 works
  8. 8 Türkiye 414 works
  9. 9 Brazil 392 works
  10. 10 Japan 388 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.

India: 46.5%China: 26.2%United States: 7.4%Indonesia: 5.8%6 others listed: 14.0%47%largest
India8,812 · 46.5%China4,967 · 26.2%United States1,406 · 7.4%Indonesia1,099 · 5.8%6 others listed2,661 · 14.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Smart Agriculture and AI research?

By volume in 2022-now, Chitkara University publishes the most Smart Agriculture and AI research, followed by SRM Institute of Science and Technology and Saveetha University.

By volume, 2022-now

  1. 1 Chitkara UniversityIndia 353 works
  2. 2 SRM Institute of Science and TechnologyIndia 310 works
  3. 3 Saveetha UniversityIndia 235 works
  4. 4 Vellore Institute of Technology UniversityIndia 231 works
  5. 5 China Agricultural UniversityChina 210 works
  6. 6 Chinese Academy of Agricultural SciencesChina 206 works
  7. 7 Graphic Era UniversityIndia 186 works
  8. 8 Chandigarh UniversityIndia 166 works
  9. 9 Indian Council of Agricultural ResearchIndia 164 works
  10. 10 Amrita Vishwa VidyapeethamIndia 162 works

Who are the leading researchers in Smart Agriculture and AI?

The most-cited researchers publishing on Smart Agriculture and AI include Jun Wang, Andrew Zisserman and Kai You Wang.

  1. 1 Jun Wang China 340k citations
  2. 2 Andrew Zisserman United Kingdom 255k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Olaf Ronneberger Germany 188k citations
  5. 5 Luc Van Gool Switzerland 177k citations
  6. 6 Kalyanmoy Deb United States 171k citations
  7. 7 Han Zhang China 161k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Smart Agriculture and AI?

The most cited paper in Smart Agriculture and AI is "Deep learning in agriculture: A survey" (Andreas Kamilaris, Francesc Xavier Prenafeta-Boldú, 2018), with 5,070 citations. Next come "Using Deep Learning for Image-Based Plant Disease Detection" (4,980) and "Automated Flower Classification over a Large Number of Classes" (3,363).

Most cited papers
#PaperReleasedCitations
1 Deep learning in agriculture: A survey Andreas Kamilaris, Francesc Xavier Prenafeta-Boldú · Computers and Electronics in Agriculture Open access 22 Feb 2018 5,070
2 Using Deep Learning for Image-Based Plant Disease Detection Sharada P. Mohanty, David Peter Hughes, Marcel Salathé · Frontiers in Plant Science Open access 22 Sep 2016 4,980
3 Automated Flower Classification over a Large Number of Classes Maria-Elena Nilsback, Andrew Zisserman Conference paper Dec 2008 3,363
4 Deep learning models for plant disease detection and diagnosis Konstantinos P. Ferentinos · Computers and Electronics in Agriculture Feb 2018 3,356
5 Machine Learning in Agriculture: A Review Konstantinos G. Liakos, Patrizia Busato, Dimitrios Moshou et al. · Sensors Open access 14 Aug 2018 3,332
All 100 most cited papers, with filters and sorting

Where is Smart Agriculture and AI research done?

The largest centres of Smart Agriculture and AI research in 2022-now 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, Karur and Coimbatore.

Largest cities, 2022-now

  1. 1 ChennaiIndia 1.1k works
  2. 2 BeijingChina 899 works
  3. 3 CoimbatoreIndia 476 works
  4. 4 BengaluruIndia 430 works
  5. 5 PuneIndia 420 works
  6. 6 ChandigarhIndia 373 works
  7. 7 DhakaBangladesh 364 works
  8. 8 Dehra DūnIndia 278 works
  9. 9 HyderabadIndia 270 works
  10. 10 VelloreIndia 235 works

Where it is the local speciality

  1. GunupurIN · 25.1 works26×
  2. Karur21.1 works20×
  3. Coimbatore41.9 works20×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Smart Agriculture and AI than the world average.

See Smart Agriculture and AI on the map

Where is the best place to study Smart Agriculture and AI?

Among universities, judged by research, Jiangsu University, China Agricultural University and Wageningen University & Research score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 28.23%fractional works in this field (log) →share of work in the world top 10% →Assam UniversityJiangsu UniversityWageningen Universit…China Agricultural U…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Jiangsu UniversityChina 74.642.0%6.0×104 +197.2%
2China Agricultural UniversityChina 66.721.6%17.4×210 +189.7%
3Wageningen University & ResearchNetherlands 64.726.0%5.7×45 +74.6%
4Assam UniversityIndia 62.242.4%12.7×23 -
5King Faisal UniversitySaudi Arabia 61.135.8%3.3×18 +1124.1%
6Chitkara UniversityIndia 60.98.9%41.9×353 +2425.2%
7Princess Nourah bint Abdulrahman UniversitySaudi Arabia 59.538.6%2.7×15 -
8Northwest A&F UniversityChina 58.625.0%7.3×62 +64.6%
9South China Agricultural UniversityChina 58.519.5%13.9×105 +154.5%
10Nanjing Agricultural UniversityChina 57.622.5%8.9×75 +136.7%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Smart Agriculture and AI, country by country

Is Smart Agriculture and AI research growing?

Output in 2022-2025 was 197% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Smart Agriculture and AI.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Smart Agriculture and AI as a percentage of every work published that year, 0.12% in 2024.

still counting0.050%0.10%0.15%Smart Agriculture and AI0.13% in 202519801990200020102020

Fractional works of Smart Agriculture and AI over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Smart Agriculture and AI9.9% in 202520102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

Discussion

Ask a question or share a note about Smart Agriculture and AI. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.