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researcher

Ajay Sharda

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0001-5161-4123

identity via Semantic Scholar / OpenAlex

most citedA New Dataset and Comparative Study for Aphid Cluster Detection

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields

Raiyan Rahman, Christopher Indris, Goetz Bramesfeld +8

Aphid infestations are one of the primary causes of extensive damage to wheat and sorghum fields and are one of the most common vectors for plant viruses, resulting in significant…

cs.CV2023★ 1 cited

Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models

Tianxiao Zhang, Kaidong Li, Xiangyu Chen +7

Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying…

cs.CV2023

On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild

Raiyan Rahman, Christopher Indris, Tianxiao Zhang +5

Aphid infestations can cause extensive damage to wheat and sorghum fields and spread plant viruses, resulting in significant yield losses in agriculture. To address this issue, far…

cs.CV2023★ 2 cited

A New Dataset and Comparative Study for Aphid Cluster Detection

Tianxiao Zhang, Kaidong Li, Xiangyu Chen +7

Aphids are one of the main threats to crops, rural families, and global food security. Chemical pest control is a necessary component of crop production for maximizing yields, howe…

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