Browsing by Subject "Machine learning"
Now showing items 1-3 of 3
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Classification of herbicide-resistant and susceptible kochia in sugarbeet using hyperspectral and machine learning techniques
(North Dakota State University, 2024-07)The effective identification of herbicide-resistant kochia in sugar beet fields is crucial for adopting sustainable weed management strategies. A study was conducted in a greenhouse and in field to record hyperspectral ... -
Decoding tofu quality: an integrative investigation of soybean seed characteristics and innovative evaluation approaches
(North Dakota State University, 2024)This research unravels the intricate relationship between soybean seed characteristics, geographical origin, and the resultant quality parameters of tofu. The study analyzed 178 soybean varieties from diverse regions, ... -
Pattern Recognition and Quantifying Associations Within Entities of Data Driven Systems for Improving Model Interpretability
(North Dakota State University, 2022)Discovering associations among entities of a system plays an important role in data science. The majority of the data science related problems have become heavily dependent on Machine Learning (ML) since the rise of ...