Agricultural output depends on local environmental and weather variables such as rainfall, temperature, and soil measures. While satellite imagery can provide global estimates of these variables, they cannot not resolve micro climate effects that have differential impacts on agricultural outputs.
Our aim is to collect more granular data on environmental aspects such as rainfall and temperature through the use of sensors and crowdsourced weather feedback from farmers. These data are then cross validated with satellite measurements. Such data is useful to a wide range of applications in agriculture, including weather insurance, precision agriculture and disaster response.