Development of Climate Smart Agriculture Technologies

Development of Climate Smart Agriculture Technologies to Improve Crop Productivity and Mitigate Environmental Risks, impartido por el profesor e investigador Aitazaz Farooque.

Dr. Aitazaz Farooque is working as an Associate Dean & Associate Professor/Industry Research Chair – Precision Agriculture (PA) at the School of Climate Change and Adaptation, University of Prince Edward Island (UPEI). Dr. Farooque’s research focuses on fundamental understanding and development of state-of-the-art precision agriculture technologies for Eastern Canada’s agriculture industry. Dr. Farooque is actively working on machine vision, application of multispectral and thermal imagery using drone technology, delineation of management zones for site-specific fertilization, deep learning, artificial intelligence, electromagnetic induction methods, remote sensing, and digital photography technique for mapping, bio-systems modeling, hydrological modeling, artificial neural network, analog and digital sensor integration into agricultural equipment for real-time soil, plant, and yield mapping.


Agriculture is a key resource to ensure food security at the planet. The increasing world population demands more food for survival, as agricultural land is shrinking because of urbanization and intensification. Agriculture production contributes significantly to global warming and is related to climate change which is very likely to affect food security at the global, regional, and local level.

Agriculture production typically involves uniform management during a growing season, ignoring spatial and temporal variations in soil/crop/weather/yield and topographic attributes that exist within fields. Uniform management not only increases the production cost but also adversely affects our environment (increased greenhouse gas (GHG) emissions, nitrate leaching into sub-surface/ground waters, nutrient runoff into water bodies, damaging aquaculture and fisheries and deterioration of air quality).

The sustainable agriculture production requires discoveries, innovations, and technical skill, which need to be integrated into traditional farming to achieve sustainable agriculture practices. Hence, there is an emerging need for increased production efficiency, profitability, and environmental protection in the face of climate change, but these cannot be achieved if the agriculture fields are managed uniformly. This situation emphasizes the need to develop smart technologies that can encounter spatial and temporal variations within the agriculture fields in real-time to achieve site-specific management on an as-needed basis. Smart agriculture management using precision agriculture technologies can improve crop productivity, increase profit margins, and minimize environmental risks to mitigate and adapt to climate change.

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