Mohammad Abdullah Bari
Assistant Professor, Plant and Environmental Sciences
Regular Faculty
I am a plant breeder and quantitative geneticist by training. I have gained experience in germplasm enhancement, population development, maintenance, inbred development, and hybrid production. I have managed large-scale, multidisciplinary trials and contributed to the variety development process for diverse crops, including maize, wheat, sorghum, and legumes. My proficiency spans analyzing high-throughput phenotyping-derived association studies and implementing genomic and phenomic selections for crop improvement. I led the development of AI-driven Deep Learning tools for extracting yield components and forecasting yield, thus digitizing rapid phenotyping and yield estimation quickly.
Expertise
- Computer Vision
- Machine Learning
- Neural Networks
- High-throughput Phenotyping
- Predictive Model
- Agriculture and Food Systems
- Alfalfa and Forage Crops Breeding
- Genetics
- Genomics
- High-Throughput Phenotyping
- ML & AI Predictive Analytics
- Applications of AI
- ML in Breeding and Ag Research
- AI Literacy
Profile Links
Awards
- Glenn Smith Memorial Scholarship – NDSU, 2013 & 2010.
- Charles and Linda Moses Presidential Graduate Fellowship – NDSU, 2012.
- Third prize at the 28th Plant Sciences Graduate Student Symposium – University of Manitoba, Winnipeg, Canada, 2012.
- Eric Matthew Miller Memorial Scholarship – NDSU, 2011.
- Best speaker and Champion, Intramural Debate Competition, Bangladesh Agricultural University, 2003.
- Best speaker on ‘Arsenic Pollution in Bangladesh,’ Bangladesh Agricultural University, 2001.
