Pakistan is highly vulnerable to climate change due to low forest cover, rising temperatures, glacier melting, floods, droughts, and agricultural decline. With only 4.2 million hectares of forest, impacts are severe. Government initiatives like the 10 Billion Tree Tsunami and mangrove restoration aim to improve resilience and environmental sustainability.

This study documented wild edible plant diversity and traditional knowledge in northern Ethiopia. Forty species were identified, mainly trees and shrubs. Knowledge varied by gender, age, and occupation, with key informants showing greater expertise. Wild plants provide critical seasonal food security but face threats from deforestation, agriculture, and overgrazing.

This research examines whether long-term organic soil management improves climate resilience. Using a 27-year field experiment, the study shows that compost and manure significantly improve soil structure, reduce compaction, and increase water retention. Results demonstrate that sustained organic practices can transform fragile soils into resilient systems for future food security.

My research uses field images to predict crop yield, leveraging machine learning techniques to extract patterns and features correlating yield.  These features include plant health indicators, growth stages,  or canopy coverage. I am particularly interested in using these features to develop models  that improve the accuracy of yield prediction, helping farmers make  data-driven decisions. My approach considers temporal changes in the crop, capturing how its characteristics evolve. My work contributes to precision agriculture, a field that seeks to optimize resource use, increase productivity, and promote sustainability in farming. My research has the potential to transform traditional agricultural practices by integrating advanced AI methods.

This research examines the ethical dilemmas behind food distribution during disasters, focusing on fairness, power, and decision-making in humanitarian aid. Through interviews in Bangladesh, it aims to develop an ethical framework to guide organisations toward just and transparent food allocation, ensuring aid preserves dignity as well as saving lives.

This research examines how climate change affects Phytophthora infestans, the pathogen responsible for potato late blight. By studying pathogen growth, reproduction, and molecular changes under future temperature and CO₂ conditions, the project aims to inform climate-resilient disease management strategies and strengthen global food security.

Corn crops often suffer hidden stress long before visible damage appears. This research develops DNA aptamer-based biosensors that detect early stress signals in maize soil. By providing real-time alerts, the system enables faster intervention, improving crop resilience, farm productivity, and long-term food security.

Gray mold in strawberries is increasingly resistant to fungicides due to genetic mutations. This research identifies resistance levels by testing pathogen samples in the lab, allowing growers to choose effective treatments. Ongoing work analyzes resistance trends and integrates DNA tools to optimize spray programs and reduce waste, ensuring healthier harvests.

The research promotes interseeding—planting cover crops alongside cash crops—to help farmers in short-season climates protect soil, retain nutrients, and boost resilience. By identifying optimal planting times, crop mixes, and methods, the work dispels myths about competition and shows that interseeding can improve yields and soil health without compromising crop quality.

This research investigates Trichoderma fungi as a biological control against Armillaria honey fungus, a major plant pathogen with no effective treatment. Forty Trichoderma strains were tested; seven reduced disease in plants and one prevented infection entirely. These findings suggest plants could be inoculated like a “vaccination” to protect forests, crops, and gardens.