Cotton Farming
AI-based early pest warning system
Today, large agriculture programs in India depend on manual counting of pests and present numerous challenges with identifying pests accurately and providing advice to the small-holder farmers. We are working on AI-driven technology which runs on a basic smartphone, and classifies and counts pests based on photos of pest traps taken by farmers and agriculture program workers. This solution can be used to provide millions of farmers with timely, localised advice, reducing crop loss and over-use of pesticides by improving the timing of usage.
The Problem
Cotton is one of the largest cash crops grown globally. It is India’s third largest crop after rice and wheat and 75% of it is grown by small-holder farmers who struggle with uncertainty in yield and income. One of the critical challenges they face is the inability to manage pests despite heavy usage of pesticides.
More than a billion people live in smallholder farmer households worldwide, and many of these farmers struggle with avoidable pest damage that can wipe out up to 50% of annual crop yield. For example, in India, for the 30 million people — 6 million farmers and their families — that depend on cotton farming for a living, inability to manage pests effectively is one the biggest risks. This, despite the fact that cotton accounts for close to half of India’s pesticide usage.
We are working on algorithms to detect major pests affecting cotton farms,
and are conducting field trials in several locations in partnership with
the Better Cotton Initiative and Government of Maharashtra.
Impact through AI
The Wadhwani Institute for Artificial Intelligence is one of 20 organizations that will share $25 million in grants from Google.org, credit and consulting from Google Cloud and coaching by Google’s AI experts as a grantee of the Google AI Impact Challenge.
We are passionate about creating an impact for small-holder farmers in India and the developing world at large, and aim to develop a more comprehensive pest management tool ready for testing by October 2019.
"Small farmers worldwide depend heavily on government and nonprofit programs to figure out what to do at every step of the crop cycle. By using AI to augment human capabilities and overcome systemic challenges in these large-scale programs, we can help millions of farmers. Pest management is just the beginning."
- Raghu Dharmaraju, VP, Products and Programs
