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

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Rontani Fagner 

PhD Student

Email: fagner.rontani@ndsu.edu

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
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