2022

Artificial neural network to predict traction performance of autonomous ground vehicle on a sloped soil bin and uncertainty analysis [Pdf]

Badgujar, C., Flippo, D., & Welch, S. (2022). Artificial neural network to predict traction performance of autonomous ground vehicle on a sloped soil bin and uncertainty analysis. Computers and Electronics in Agriculture, 196, 106867. [Link])

Experimental Investigation on Traction, Mobility, and Energy Usage of a Tracked Autonomous Ground Vehicle on a Sloped Soil Bin [Pdf]

Badgujar, C, Flippo, D., Brokesh, E., & Welch, S. (2022). Experimental Investigation on Traction, Mobility & Energy usage of the Tracked Autonomous Ground Vehicle on a Sloped Soil Bin. Journal of the ASABE. [Link]

Pest-infested Soybean Leaf Image Classification with Deep Learning Techniques for Integrated Pest Management (IPM) [Pdf]

Badgujar, C, Mansur, H., & Flippo, D. (2022). Pest-infested Soybean Leaf Image Classification with Deep Learning Techniques for Integrated Pest Management (IPM). Conference Proceedings, 2022 ASABE Annual International Meeting, Houston, Texas. [Link]

Design of a Reconfigurable Crop Scouting Vehicle for Row Crop Navigation: A Proof-of-Concept Study [Pdf]

Schmitz, A., Badgujar, C, Mansur, H., Flippo, D., McCornack, B., & Sharda, A. (2022). Design of a reconfigurable crop scouting vehicle for row crop navigation: A proof-of-concept study. Sensors, 22(16). [Link]

Development and Evaluation of Pasture Tree Cutting Robot: Proof-of-Concept Study [Pdf]

Badgujar, C, Flippo, D., Baldwin, C., & Badua, S. (2022). Development and Evaluation of Pasture Tree Cutting Robot : Proof-of-concept study. Croatian Journal of Forest Engineering, 44(1), 11–19. [Link]

Design, Fabrication, and Experimental Investigation of Screw Auger Type Feed Mechanism for a Robotic Wheat Drill [Pdf]

Badgujar, C, Hui, W., Flippo, D., & Brokesh, E. (2022). Design, fabrication, and experimental investigation of screw auger type feed mechanism for a robotic wheat drill. Journal of ASABE. [Link]

A Distributed Approach for Robotic Coverage Path Planning Under Steep Slope Terrain Conditions [Pdf]

Martinez-Figueora, D., Das, S., Badgujar, C, Flippo, D., & Welch, S. J. (2022). A Distributed Approach for Robotic Coverage Path Planning Under Steep Slope Terrain Conditions. 2022 IEEE Symp. Series on Computational Intelligence (SSCI). [Link]