28 citations · 45 across the 2 of their papers we have counts for
3 papers
New methods of removing debris and high-throughput counting of cyst nematode eggs extracted from field soil
Upender Kalwa, Christopher Legner, Elizabeth Wlezien +2
The soybean cyst nematode (SCN), Heterodera glycines, is the most damaging pathogen of soybeans in the United States. To assess the severity of nematode infestations in the field,…
Robotic agricultural instrument for automated extraction of nematode cysts and eggs from soil to improve integrated pest management
Christopher M. Legner, Gregory L. Tylka, Santosh Pandey
Soybeans are an important crop for global food security. Every year, soybean yields are reduced by numerous soybean diseases, particularly the soybean cyst nematode (SCN). It is di…
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection
Adedotun Akintayo, Nigel Lee, Vikas Chawla +7
This paper proposes a novel selective autoencoder approach within the framework of deep convolutional networks. The crux of the idea is to train a deep convolutional autoencoder to…