Technology Adaptation

For Food Security

Research And Development

Ag-Robotics

Smart IoT Sensor

Dynamic Assessment

Renewable Energy

Sustainable Farming

SERVICES

Consultancy

Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness.

Networking

AdaptiveAgroTech creates a bridge between your professional expertise in the area of high-tech agriculture and the end-users requests via a network of trusted researchers.

AG Extension

Journal Publications, Conference Publications, Book Chapters, Lecture Notes, Presentations, Posters And Technical Reports

Services

Research & Development, Digitalization of Agriculture

Robust design
Yield prediction
Microclimate evaluation and prediction
Adaptive Analysis and optimization
Flexible automation
…

Last News

August 22, 2024

A new book published: Mobile Robots for Digital Farming

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June 27, 2024

The Star Newspaper, Malaysia, June.26.2024

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February 13, 2024

Get Together Night, Feb.13.2024

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October 25, 2023

ACPA10

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September 20, 2023

ACPA10

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May 14, 2023

PostDoc Position

PostDoc Position https://www.adaptiveagrotech.com/wp-content/uploads/2023/05/CEA.jpg 850 484 Dr. Redmond Dr. Redmond https://secure.gravatar.com/avatar/ca3533982d2282619e77a642117b39ef?s=96&d=mm&r=g May 14, 2023 May 14, 2023

October 20, 2021

Sponsorship, Chess tournament

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About Us

Adaptive AgroTech is an International Consultancy Network focused on technology adaptation for Agriculture 4.0. The group was initially formed in 2008 at the Univ. of. Florida by Redmond R. Shamshiri to provide linkage and networking between Ag-Engineers and greenhouse growers. Since then, members of AdaptiveAgroTech have been involved in various applied control and dynamic projects including smart sensors for health assessment, precision agriculture of oil palms, variable rate technology, robotics harvesting, early disease detection, UAV-based remote sensing, autonomous navigation, LPWAN sensors for field monitoring, farm machinery management, and simulation/modeling (digital twin) for improvement of controlled environment plant production systems.