Predicting Gypsum Tofu Quality from Soybean Seeds Using Hyperspectral Imaging and Machine Learning.

Hyperspectral imaging (HSI) and machine learning accurately predict gypsum tofu quality from soybean seeds. A new Yield and Texture Trade-off Theory was proposed. XGBoost outperformed other models, achieving 96-99% accuracy in classifying soybean seeds based on tofu quality.

June 2024 · Malik, A., Ram, B.G., Arumugam, D., Jin, Z., Sun, X.

Applications of deep learning in precision weed management: A review

The review analyzed 60 research papers on weed detection and discussed the potential of deep learning techniques for improving weed detection.

February 2023 · Nitin Rai, Yu Zhang, Billy G. Ram, Leon Schumacher, Ravi K. Yellavajjala, Sreekala Bajwa, Xin Sun