Geodata to Control Potato Late Blight in Bangladesh

GEOPOTATO

To combat the diesease, mPower has developed a decision support service (DSS) that uses precision agriculture technology to warn farmers of a potential attack before the disease hits, and also prescribe appropriate preventive and curative interventions. The DSS takes in variables such as farmer registration data, satellite imagery and data from Automated Weather Stations (AWS). The system uses these resources to continuously measure weather forecasts and satellite imagery and evaluates this information against crop models in relation to the disease cycle of the pathogen. The DSS then provides farmers with preventive spray advice when a late blight infection period is predicted to occur. It also assesses past sprays and evaluates if an infection is likely to have occurred in the past few days, which may result in curative spray advice. The resulting outcome saw a yields increase by 8.4% and income increase by 10.4%. mPower anticipates that the increased income plays a significant part in achieving SDG 1 and eliminating poverty, specifically in underdeveloped farming communities. The boosted productivity will to work towards SDG 2 in achieving food security, improved nutrition and promote sustainable agriculture in the community.

https://www.mpower-social.com/agriculture.php

National implementation: Bangladesh

Ongoing from 01/01/2016 to 01/06/2019

TerraSphere, BCAS, Wageningen University, DLO Foundation, IAS, ICCO

      * E-agriculture

• Goal 1: End poverty in all its forms everywhere
• Goal 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture

• Project