  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.
