Proceedings

Find matching any: Reset
Djighaly, P
Sridharan, S
Add filter to result:
Authors
Sridharan, S
Sornapudi, S
Hu, Q
Kumpatla, S
Bier, J
Gomez, F
CARCEDO, A
Diatta, A
Nagarajan, L
Prasad, V
Stewart, Z
Zingore, S
Ciampitti, I
Djighaly, P
Topics
Big Data, Data Mining and Deep Learning
Big Data, Data Mining and Deep Learning
Type
Oral
Year
2022
2024
Home » Authors » Results

Authors

Filter results2 paper(s) found.

1. 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

2. An Open Database of Crop Yield Response to Fertilizer Application for Senegal

Food security is one of the major global challenges today.  Africa is one of the continents with the largest gaps in terms of challenges for food security. In Senegal, about 60% of the population resides in rural areas and the cropping systems are characterized as a low productivity system, low input and in reduced areas, smallholder subsistence systems. Increasing crop productivity would have a positive impact on food security in this country. One of the main factors limiting crop productivity... F. Gomez, A. Carcedo, A. Diatta, L. Nagarajan, V. Prasad, Z. Stewart, S. Zingore, I. Ciampitti, P. Djighaly