Keyvan Asefpour Vakilian

About

Keyvan Asefpour Vakilian is a prominent agricultural robotics and precision agriculture researcher whose work sits at the intersection of machine vision, artificial intelligence, and autonomous farm systems. Over more than a decade, he has made significant contributions to intelligent crop monitoring, robotic harvesting, and AI-driven disease and pest detection in agricultural settings. His early work pioneered the use of artificial neural networks and digital image processing for phytomonitoring, with notable studies on detecting fungal diseases in cucumber plants (49 citations) and identifying field crop insect pests (42 citations) published in 2013. These laid the groundwork for smart, autonomous plant health systems. He subsequently advanced agricultural robotics through designs including a farmer-assistant nitrogen fertilizing robot for greenhouse crops (82 citations), an intelligent volume-based spraying robot (53 citations), and a kiwifruit yield estimation robot (50 citations) — collectively demonstrating his versatility across crop types and farming challenges. Vakilian has also tackled mechanically complex problems such as robotic date fruit harvesting using 5-DOF manipulators and force-controlled pruning machines. With a publication record spanning greenhouse automation, fruit harvesting dynamics, and AI-based diagnostics, his research has garnered over 330 citations, establishing him as a leading voice in the emerging field of intelligent agricultural robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   A farmer-assistant robot for nitrogen fertilizing management of greenhouse crops

   82 citations · 2017
2. 2
   An intelligent spraying robot based on plant bulk volume

   53 citations · 2020
3. 3
   Design, development, and performance evaluation of a robot for yield estimation of kiwifruit

   50 citations · 2021
4. 4
   An artificial neural network approach to identify fungal diseases of cucumber (<i>Cucumis sativus</i>L.) plants using digital image processing

   49 citations · 2013
5. 5
   Performance evaluation of a machine vision system for insect pests identification of field crops using artificial neural networks

   42 citations · 2013
6. 6
   An Artificial Neural Network Modeling for Force Control System of a Robotic Pruning Machine

   17 citations · 2014
7. 7
   Design, development and performance evaluation of a robot to early detection of nitrogen deficiency in greenhouse cucumber (Cucumis sativus) with machine vision.

   13 citations · 2012
8. 8
   Mechanical analysis of a robotic date harvesting manipulator

   11 citations · 2015
9. 9
   Dynamics modelling and control of a strawberry harvesting robot

   8 citations · 2015
10. 10
    Robotic date fruit harvesting using machine vision and a 5‐DOF manipulator

    6 citations · 2023

Key Collaborators

Contact & Links