Publication database

FutureWater’s ThirdEye was a SWFF-supported infrared flying sensors project that created a group of flying sensors operators equipped with tools to analyze near infrared imagery in order to help farmers to make better decisions concerning the use of their limited resources, such as water, seeds and fertilizers. This report analyses the results obtained by the monitoring and evaluation field intern who conducted an evaluation survey in July and August 2018 in Mozambique, after the project had been active there for 3 years.

World Hope International provides low-cost greenhouses to farmers in Sierra Leone and Mozambique. This report encompasses the monitoring and evaluation of the greenhouses installed in Mozambique’s Gaza and Maputo provinces. With the greenhouses, farmers can grow crops faster and all year round, using less water and fewer seeds. Crops and seedlings grown in the greenhouses are of better quality and have greater chances for survival, because the greenhouses protect the plants from weather variations and pests. Farmers had an overall positive attitude towards the greenhouses and 87 percent of those interviewed plan to continue using them.

This document aims to inform and empower those who may have limited technical experience as they navigate an emerging ML/AI landscape in developing countries. Donors, implementers, and other development partners should expect to come away with a basic grasp of common ML techniques and the problems ML is uniquely well-suited to solve. We will also explore some of the ways in which ML/AI may fail or be ill-suited for deployment in developing-country contexts. Awareness of these risks, and acknowledgement of our role in perpetuating or minimizing them, will help us work together to protect against harmful outcomes and ensure that AI and ML are contributing to a fair, equitable, and empowering future.