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Sharma, D.B
Hu, Q
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Authors
Shinde, G.U
Salokhe, D.M
Badgujar, P.D
Sharma, D.B
Sridharan, S
Sornapudi, S
Hu, Q
Kumpatla, S
Bier, J
Topics
Engineering Technologies and Advances
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2012
2022
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1. Computer Aided Engineering Analysis and Design Optimization for Precision Manufacturing of Tillage Tool: Sweep Cultivator

The process optimization in advance tillage tool system conceptually designed and fabricated by computer aided engineering analysis techniques. The Software testing a field performance is taken in the soil bed preparation as well as in the various crop patterns. It was found most use full in obtaining high weed removal efficiency. The precision geometry, optimum energy utilization, multi-operational design, easy transport and flexible attachments are some of the features which results in achieving... G.U. Shinde, D.M. Salokhe, P.D. Badgujar, D.B. Sharma

2. A Generative Adversarial Network-based Method for High Fidelity Synthetic Data Augmentation

Digital Agriculture has led to new phenotyping methods that use artificial intelligence and machine learning solutions on image and video data collected from lab, greenhouse, and field environments. The availability of accurately annotated image and video data remains a bottleneck for developing most machine learning and deep learning models. Typically, deep learning models require thousands of unique samples to accurately learn a given task. However, manual annotation of a large dataset will... S. Sridharan, S. Sornapudi, Q. Hu, S. Kumpatla, J. Bier