Robust plant segmentation of color images based on image contrast optimization. - Yuzhen Lu; Sierra N. Young; Haifeng Wang; Nuwan Wijewardane (Comput. Electron. Agric., 2022)

Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning model. - Jiating Li; Nuwan Wijewardane; Yufeng Ge; Yeyin Shi (Comput. Electron. Agric., 2023)

Comparison of UV, visible and near-infrared, and mid-infrared spectrometers to estimate maize and sorghum leaf nutrients using dry-intact and ground leaves. - F. H. C. A. Silva; Nuwan Wijewardane; Raju Bheemanahalli; K. Raja Reddy; Xin Zhang 085; Ranadheer Reddy Vennam (Comput. Electron. Agric., 2023)

Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence. - Md. Toukir Ahmed; Nuwan Wijewardane; Yuzhen Lu; Daniela S. Jones; Michael W. Kudenov; Cranos M. Williams; Arthur Villordon; Mohammed Kamruzzaman (Comput. Electron. Agric., 2024)

FieldSeg: A scalable agricultural field extraction framework based on the Segment Anything Model and 10-m Sentinel-2 imagery. - Lucas B. Ferreira; Vitor S. Martins; Uilson R. V. Aires; Nuwan Wijewardane; Xin Zhang 085; Sathish Samiappan (Comput. Electron. Agric., 2025)

Context-Aware Deep Learning Model for Yield Prediction in Potato Using Time-Series UAS Multispectral Data. - Suraj A. Yadav; Xin Zhang 085; Nuwan Wijewardane; Max Feldman; Ruijun Qin; Yanbo Huang; Sathishkumar Samiappan; Wyatt Young; Francisco G. Tapia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

CottonSim: Development of an autonomous visual-guided robotic cotton-picking system in the Gazebo. - Thevathayarajh Thayananthan; Xin Zhang; Yanbo Huang; Jingdao Chen; Nuwan Wijewardane; Vitor S. Martins; Gary D. Chesser; Christopher T. Goodin (CoRR, 2025)