
News & Media
Latest updates and achievements from the MVOS Lab
Research Publications

AI-driven Web Application for Early Detection of Sudden Death Syndrome (SDS) in Soybean Leaves Using Hyperspectral Images and Genetic Algorithm
Pappu Kumar Yadav, Rishik Aggarwal, Supriya Paudel, Amee Parmar, et al.
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Robotic System with AI for Real Time Weed Detection, Canopy Aware Spraying, and Droplet Pattern Evaluation
Inayat Rasool, Pappu Kumar Yadav, Amee Parmar, Hasan Mirzakhaninafchi, et al.
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Development and Evaluation of a Multiaxial Modular Ground Robot for Estimating Soybean Phenotypic Traits Using an RGB-Depth Sensor
James Kemeshi, Young Chang, Pappu Kumar Yadav, Maitiniyazi Maimaitijang, Graig Reicks
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Supervised Hyperspectral Band Selection Using Texture Features for Classification of Citrus Leaf Diseases with YOLOv8
Quentin Frederick, Thomas Burks, Jonathan Adam Watson, Pappu Kumar Yadav, Jianwei Qin, Moon Kim, Megan M. Dewdney
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Conference Presentations

AI driven computer vision for detection and pose estimation of chile peppers (Capsicum annuum L.) for a robotic harvester
Amee Parmar, Inayat Rasool, Pappu Yadav
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PhenAI-bot: high-throughput 3D crop phenotyping of soybean (Glycine max) in greenhouse settings
Ivan Perez Olivera, Swarnabha Roy, Pappu K. Yadav, Amee Parmar, Rishik Aggarwal, Inayat Rasool
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PyBullet for kinematic and dynamic simulations of an agricultural robot for corn stem disease detection
Inayat Rasool, Iván P Olivera, Amee Parmar, Young Chang, Tom Burks, Pappu Yadav
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PhenAI-Bot: precision 3D crop phenotyping of pepper (Capsicum annuum L.) varieties in a greenhouse
Swarnabha Roy, Amee Parmar, Rishik Aggarwal, Stavros Kalafatis, Pappu Kumar Yadav
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Harvest-Bot: precision harvesting of pepper (Capsicum annuum L.) varieties in a greenhouse
Swarnabha Roy, Amee Parmar, Rishik Aggarwal, Stavros Kalafatis, Pappu Kumar Yadav
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Hyperspectral imaging and machine learning for soybean SDS severity classification
Authors from MVOS Lab
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