Embedded Files
Teamwork is the secret that makes ordinary people achieve uncommon results.
Ifeanyi Enoch Onuoha
Jithin Mathew
Jithin Mathew
As a Ph.D. student at ABEN, where he focuses on automating various agricultural tasks related to precision agriculture. His diverse background in biology, bioinformatics, and computer science enables him to bring a multidisciplinary approach to his work. In addition to his technical skills, he is also interested in developing user-friendly interfaces for existing back-end programs. Jithin's passion for staying up-to-date with the latest scientific and technological trends motivates him to continuously learn and acquire new skills.
Email: jithin.mathew@ndsu.edu
Anup Kumar Das
Anup Kumar Das
As a Ph.D. student, he is working to develop automated plant disease assignment systems for corn, peas, and chickpeas using a variety of techniques such as RGB color, multispectral, and hyperspectral images along with machine learning and deep learning methods. His current research focuses on developing an automated approach for identifying Goss's wilt diseases in corn through the use of unmanned aerial vehicles. Leveraging his expertise in statistics and image analysis, he tackles complex research problems. He is highly skilled in programming languages such as Python and C and enjoys working with electronics and writing computer programs.
Email: anup.das@ndsu.edu
Karki Sijan
Karki Sijan
As a Ph.D. student at ABEN
Email: adapa.saimanogna@ndsu.edu
Email: adapa.saimanogna@ndsu.edu
Rontani Fagner
Rontani Fagner
Email: fagner.rontani@ndsu.edu
Rontani Fagner
Rontani Fagner
Email: fagner.rontani@ndsu.edu
Aliasghar Bazrafkan
Aliasghar Bazrafkan
A researcher and currently Ph.D. student in Precision Agriculture. With over 10 years of valuable work experience in GIS and using drones and satellites for remote sensing. His primary focus right now is on using high-throughput phenotyping to improve pulse crop breeding. he is genuinely passionate about GIS modeling and scripting, and he finds joy in exploring cutting-edge machine learning and deep learning techniques to help advance plant breeding methods. he finds the potential of GIS in transforming agriculture and natural resource management fascinating. he is dedicated to contributing to the field and hopes to positively impact the future of agricultural practices.
Email: aliasghar.bazrafkan@ndus.edu
Cristhian Perdigon
Cristhian Perdigon
As a Colombian Agricultural Engineer, he brings experience in fruit and vegetable post-harvest research, as well as designing and constructing agricultural machinery. His background also includes expertise in hydroponic tomato production in greenhouses, ornamental flower production, and dairy farming. He is deeply committed to learning and developing his skills and relishes the challenge of problem-solving by applying analytical methods and established engineering principles.
Email: cristhian.perdigon@ndsu.edu
LinkedIn
Page updated
Report abuse