BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India

Jerome White, Chandan Agrawal, Anmol Ojha, Apoorv Agnihotri, Makkunda Sharma +1 more
4/3/2023
cs.CV

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Abstract

This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India. The dataset has been used to support a mobile application that relies on artificial intelligence to assist farmers with pest management decisions. Creation came from a mix of organized data collection, and from mobile application usage that was less controlled. This makes the dataset unique within the pest detection community, exhibiting a number of characteristics that place it closer to other non-agricultural objected detection datasets. This not only makes the dataset applicable to future pest management applications, it opens the door for a wide variety of other research agendas.

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Cite this paper

@article{white2023bollwm,
  title  = {BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India},
  author = {Jerome White and Chandan Agrawal and Anmol Ojha and Apoorv Agnihotri and Makkunda Sharma and Jigar Doshi},
  year   = {2023},
  eprint = {2304.00763},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.00763v1}
}

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