Integrated Aerial-Ground Intelligent Sensing and AI Platform for Resource-Efficient and Sustainable Agriculture in Qatar’s Arid Climate

Chawla, Sanjay (Principal Investigator)
Bermak, Amine (Lead Principal Investigator)
Wang, Bo (Principal Investigator)
Shannak, Sa'd Abdel-Halim (Principal Investigator)
Baldacci, Roberto (Principal Investigator)
Shoukath Ali, Sajna Tasneem (Graduate Student)
Haj Hmida, Mohamed Amine (Graduate Student)

Project: Applied Research

Abstract

This project targets HBKU’s Signature Research Area of Sustainable and Resilient Arid Cities by advancing agricultural sustainability through integrated technological innovation. Qatar’s hyper-arid environment makes food production resource-intensive and vulnerable to climate variability. This proposal addresses these challenges by developing an innovative Air and Ground Sensing Platform for Smart Greenhouses, combining robotics, printed sensor technologies, and AI-based control systems, as schematically described in Figure 1. The proposed Air and Ground Sensing Platform aims to optimize greenhouse operations by enabling precise, sensor-driven microclimate control using AI.

Submitting Institute Name

Hamad Bin Khalifa University (HBKU)

Sponsor's Award Number	HBKU-INT-VPR-FRG-03-02
Proposal ID	HBKU-OVPR-FRG-03-6
Status	Active
Effective start/end date	10/07/25 → 9/07/27

Primary Theme

Sustainability

Primary Subtheme

SU - Sustainable / Circular Economy

Secondary Theme

Artificial Intelligence

Secondary Subtheme

AI - Analytics & Decision Support

Keywords

Intelligent Sensing
Smart Agriculture
Artificial Intelligence