Agricultural & Biosystems Engineering

Machinery, irrigation, remote sensing, precision and digital agriculture.

Agricultural engineering develops the technical systems of farming: machinery and mechanization, soil-machine interaction, irrigation and drainage, and on-farm energy use. Farm safety is a long-standing part of the discipline.

Precision and digital agriculture have become its fastest-developing area: satellite and drone remote sensing, sensor networks, variable-rate application, machine learning and robotics - technologies that aim to manage fields and animals in a more targeted way.

Studying agricultural & biosystems engineering

Degree programs in this subject often run under these names:

What you typically learn

  • Agricultural machinery and power systems
  • Precision agriculture, sensors and remote sensing
  • Irrigation and water management
  • Farm buildings and livestock housing technology
  • Data, automation and robotics in agriculture
  • Energy and biomass systems

Where graduates typically work

  • Agricultural machinery manufacturers and dealers
  • Precision-farming and agtech companies
  • Irrigation and water engineering
  • Engineering consultancies
  • Research and testing institutes

Curricula differ by country and institution - the program pages linked below have the details.

Where to study agricultural & biosystems engineering

99 programs in 45 countries. See all 99 programs

Where research is heading

Typical research questions

  • How accurately can remote sensing estimate crop condition and yield?
  • How can irrigation be scheduled to match crop water demand?
  • Which tasks can be automated with robotics and machine vision, and at what cost?
  • How can soil compaction by heavy machinery be avoided?

Publications per year

Papers whose main topic belongs to this field, 2010–2025.

0 30k 60k2010: 16,25720102011: 17,0482012: 17,7972013: 19,9122014: 21,1552015: 21,84620152016: 21,8262017: 21,9542018: 24,4002019: 28,3142020: 28,85820202021: 29,2292022: 29,9892023: 36,4112024: 43,0272025: 53,3972025

Research fronts: fastest-growing topics

Papers 2024–2025 compared with 2021–2022, topics with at least 500 recent papers.

Topic2021–20222024–2025Change
Smart Agriculture and AI[object Object] · [object Object] · [object Object] · [object Object]21,60350,364+133%
Polymer-Based Agricultural Enhancements[object Object] · [object Object] · [object Object] · [object Object]2,5574,533+77%
Remote Sensing in Agriculture[object Object] · [object Object] · [object Object] · [object Object]11,32215,200+34%
Agricultural Engineering and Mechanization[object Object] · [object Object] · [object Object] · [object Object]10,45411,934+14%
Agriculture and Farm Safety[object Object] · [object Object] · [object Object] · [object Object]863969+12%
Soil Mechanics and Vehicle Dynamics[object Object] · [object Object] · [object Object] · [object Object]2,3652,631+11%

Largest topics

By number of papers 2024–2025.

  1. Smart Agriculture and AI[object Object] · [object Object] · [object Object] · [object Object] 50,364
  2. Remote Sensing in Agriculture[object Object] · [object Object] · [object Object] · [object Object] 15,200
  3. Agricultural Engineering and Mechanization[object Object] · [object Object] · [object Object] · [object Object] 11,934
  4. Irrigation Practices and Water Management[object Object] · [object Object] · [object Object] · [object Object] 8,570
  5. Polymer-Based Agricultural Enhancements[object Object] · [object Object] · [object Object] · [object Object] 4,533
  6. Soil Mechanics and Vehicle Dynamics[object Object] · [object Object] · [object Object] · [object Object] 2,631

Highly cited recent papers

Most-cited articles and reviews published 2024–2025. Citation counts favor reviews and papers published early in the window.

  1. Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit Arpit Patidar, Abir Chakravorty · International Journal of Innovative Science and Research Technology (IJISRT) · 2024 · 963 citations · Open access
  2. IoT Solutions in Agriculture: Enhancing Efficiency and Productivity Shradha Pawar · International Journal of Innovative Science and Research Technology (IJISRT) · 2024 · 963 citations · Open access
  3. Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning Lakshin Pathak, Mili Virani, Drashti Kansara · International Journal of Innovative Science and Research Technology (IJISRT) · 2024 · 960 citations · Open access
  4. Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture Abhishek Upadhyay, Narendra Singh Chandel, Krishna Pratap Singh et al. · Artificial Intelligence Review · 2025 · 495 citations · Open access
  5. IoT Based Soil pH Detection and Crop Recommendation System R Prabavathi, P Subha, Bhuvaneswari M S et al. · International Journal of Innovative Science and Research Technology (IJISRT) · 2024 · 460 citations · Open access
  6. Application of Precision Agriculture Technologies for Sustainable Crop Production and Environmental Sustainability: A Systematic Review Sewnet Getahun, Habtamu Kefale, Yohannes Gelaye · The Scientific World JOURNAL · 2024 · 425 citations · Open access

All study programs in agricultural & biosystems engineering

All study programs