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

**Authors:** Jerome White, Chandan Agrawal, Anmol Ojha, Apoorv Agnihotri, Makkunda Sharma, Jigar Doshi  
**arXiv:** [2304.00763](https://arxiv.org/abs/2304.00763)  
**Date:** 2023-04-03  
**Summary page:** https://www.summarizepaper.com/fr/arxiv-id/2304.00763v1/

## 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.