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

19 programs in 15 countries. See all 19 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 20k 40k2010: 8,42820102011: 8,6022012: 9,3742013: 10,1552014: 10,8212015: 11,39720152016: 10,9032017: 11,6392018: 13,6202019: 15,3932020: 16,78620202021: 18,1222022: 18,9882023: 23,3352024: 24,9162025: 33,0332025

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 AIDeep Learning · Plant Disease Detection · Smart Farming · Internet of Things (IoT)13,84630,830+123%
Polymer-Based Agricultural EnhancementsControlled Release · Fertilizers · Polymer Coatings · Smart Pesticides1,6122,516+56%
Agriculture, Water, and HealthWater Resource Management · Sustainability · Climate Change Impacts · Traditional Knowledge410534+30%
Soil Mechanics and Vehicle DynamicsSoil Mechanics · Terrain Interaction · Planetary Rovers · Discrete Element Method3,3424,117+23%
Agriculture and Farm SafetyFarm Injuries · Mental Health · Agricultural Safety · All-Terrain Vehicles1,7542,132+22%
Water management and technologiesWater Management · Ancient Civilizations · Qanats · Wastewater Management1,5611,896+21%

Largest topics

By number of papers 2024–2025.

  1. Smart Agriculture and AIDeep Learning · Plant Disease Detection · Smart Farming · Internet of Things (IoT) 30,830
  2. Remote Sensing in AgricultureRemote Sensing · Vegetation Monitoring · Phenology · MODIS 9,999
  3. Soil Mechanics and Vehicle DynamicsSoil Mechanics · Terrain Interaction · Planetary Rovers · Discrete Element Method 4,117
  4. Irrigation Practices and Water ManagementDeficit Irrigation · Water Use Efficiency · Mulching · Irrigation Management 3,894
  5. Polymer-Based Agricultural EnhancementsControlled Release · Fertilizers · Polymer Coatings · Smart Pesticides 2,516
  6. Agriculture and Farm SafetyFarm Injuries · Mental Health · Agricultural Safety · All-Terrain Vehicles 2,132

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 · 964 citations · Open access
  2. IoT Solutions in Agriculture: Enhancing Efficiency and Productivity Shradha Pawar · International Journal of Innovative Science and Research Technology (IJISRT) · 2024 · 962 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. 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
  5. 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 · 450 citations · Open access
  6. GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method Xiao Zhang, Tingting Zhao, Xu Hong et al. · Earth system science data · 2024 · 444 citations · Open access

All study programs in agricultural & biosystems engineering

All study programs