Aamir Raza

About

My research aims to develop integrated precision crop and irrigation management systems for food security and sustainable development. A combination of field measurements, proximal soil and crop sensing, geospatial techniques, crop growth modeling, machine learning, and other new technologies are used to develop innovative management solutions to improve crop yield, quality, nutrient use efficiency, water use efficiency, economic returns, and environmental protection.

Employment

• University of Minnesota Research Assistant
  2025 - 2032
• University of Minnesota Research Specialist
  2025 - 2025
• University of Minnesota Twin Cities Professionals-in-Training, Research Specialist
  2025 - 2025

Education

• University of Agriculture Faisalabad M.Sc. (Hons) Agricultural Engineering
  2022 - 2024
• University of Agriculture Faisalabad B.Sc. Agricultural Engineering
  2018 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (43)

• Optimizing on-farm corn yield prediction by a multi-source data fusion approach using remote sensing and machine learning
  Smart Agricultural Technology 2025 DOI: 10.1016/j.atech.2025.101630
  +Save
• Climate Impacts Evaluation on Ecosystems Using Satellite Imagery and GIS
  2025 DOI: 10.4018/979-8-3693-5898-6.ch009
  +Save
• Improving Wheat Yield Prediction with Multi-Source Remote Sensing Data and Machine Learning in Arid Regions
  Remote Sensing 2025 DOI: 10.3390/rs17050774
  +Save
• Advances in geospatial modeling for flood risk assessment in changing climate
  Advances in Computational Intelligence for Climate Change Security and Sustainability 2025 DOI: 10.4018/979-8-3693-9132-7.ch003
  +Save
• Climate impacts evaluation on ecosystems using satellite imagery and GIS
  Intelligent Solutions to Evaluate Climate Change Impacts 2025 DOI: 10.4018/979-8-3693-5898-6.ch009
  +Save
• Role of Crop Water Requirement and Irrigation Scheduling in Sustainable Agriculture
  Advancing Global Food Security with Agriculture 4 0 and 5 0 2025 DOI: 10.4018/979-8-3693-9964-4.ch011
  +Save
• AI and IoT Solutions for Food Security and Agriculture
  2024 DOI: 10.4018/979-8-3693-6230-3.ch006
  +Save
• Transitioning From Legacy Systems to AI
  2024 DOI: 10.4018/979-8-3693-6230-3.ch002
  +Save
• Plant-Mediated Synthesis of Biocompatible Metal Nanoparticles for Sustainable Agriculture
  2024 DOI: 10.4018/979-8-3693-6240-2.ch006
  +Save
• AI-Driven Crop Yield Prediction and Disease Detection in Agroecosystems
  2024 DOI: 10.4018/979-8-3693-6336-2.ch009
  +Save
• Harnessing AI and GIS Technologies for Climate-Resilient Agriculture and Environmental Sustainability
  2024 DOI: 10.4018/979-8-3693-6336-2.ch013
  +Save
• Recent Approaches for Mitigating Climate Change in Agriculture
  2024 DOI: 10.4018/979-8-3693-3807-0.ch010
  +Save
• Role of Aquaponics and Hydroponics in Modern Agriculture
  2024 DOI: 10.4018/979-8-3693-3807-0.ch011
  +Save
• Role of Remote Sensing and GIS for Sustainable Crop Production Under Climate Change
  Muhammad Zakwan Hadeed, Muhammad Safdar, Aitizaz Ali +7 more
  2024 DOI: 10.4018/979-8-3693-3807-0.ch012
  +Save
• Python-Powered Remote Sensing Data
  2024 DOI: 10.4018/979-8-3693-1754-9.ch003
  +Save
• Automated Plant Disease Detection
  2024 DOI: 10.4018/979-8-3693-2069-3.ch014
  +Save
• Climate-Smart Agriculture for Resilience and Profitability
  2024 DOI: 10.4018/979-8-3693-2011-2.ch002
  +Save
• Optical Sensing for Precision Agriculture
  Muhammad Talal, Aamir Raza, Muhammad Safdar +3 more
  2024 DOI: 10.4018/979-8-3693-2069-3.ch011
  +Save
• Sustainable Agriculture and the SDGs
  2024 DOI: 10.4018/979-8-3693-2011-2.ch001
  +Save
• Climate Smart Agriculture and Resilience
  2024 DOI: 10.4018/979-8-3693-4864-2.ch002
  +Save