mlsanityData to 14 Oct 2026

Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn

arXiv 2206.01734 ↗First posted 2 Jun 2022cs.CV cs.AI eess.IVcited by 1

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Abstract (arXiv)

Currently, weed control in a corn field is performed by a blanket application of herbicides that do not consider spatial distribution information of weeds and also uses an extensive amount of chemical herbicides. To reduce the amount of chemicals, we used drone-based high-resolution imagery and computer-vision techniques to perform site-specific weed control in corn.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 133 references that are in the map. First posted on arXiv 2 Jun 2022.

Builds on

3 of 133 references.

References · 3

  1. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
  2. 2021Towards agricultural autonomy: crop row detection under varying field conditions using deep learningcited by 4
  3. 2019Farm land weed detection with region-based deep convolutional neural networkscited by 1

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVscited by 13