Dr Nowsheen Nazir

Conclave Researcher

Dr Nowsheen Nazir

Professor · Division of Fruit Science Fcaulty of Horticulture · sher e kashmir university of agricultural sciences and technology of kashmir

Address srinagr India Email nowsheennazir@skuastkashmir.ac.in

About my research

My research focuses on developing climate-resilient and precision-based fruit production. I study how apple, pear, kiwifruit and other temperate fruit crops respond to water stress, temperature extremes and nutrient-related challenges. I combine plant physiology with sensors, imaging, hyperspectral technology and artificial intelligence to detect stress early and improve irrigation, crop management and fruit quality. My goal is to develop predictive, data-driven solutions that help growers respond to climate change while using water and other inputs more efficiently.
Precision horticulture Climate-resilient fruit production Plant physiology AI and agricultural sensing Hyperspectral imaging Smart irrigation
Professional website → Google Scholar / research profile → LinkedIn → Email →
Current research challenge

I am currently working to address climate-related stress in fruit crops, particularly water stress, heat and frost damage, and declining fruit quality. I am also developing early-warning and AI-based approaches to detect crop stress before visible symptoms appear, improve irrigation efficiency, and support more precise, climate-resilient orchard management.

My Webinar competition entry

can apple trees tell us when to irrigate

The webinar highlighted how interdisciplinary collaboration and emerging technologies such as AI, sensors, and imaging can help develop practical solutions for climate-resilient fruit production.

Let's connect

I am particularly interested in collaborations at the interface of fruit science, climate resilience, plant physiology, AI, sensing and precision agriculture. Key areas include early detection of crop stress, smart irrigation, hyperspectral and imaging-based fruit quality assessment, climate-risk prediction, digital twins for orchards, and innovative approaches to improve fruit resilience and quality under changing environmental conditions.