Grodi is an innovative company that offers farmers monitoring of greenhouses through multispectral cameras, helping to detect pests in their early stages, optimizing production, and projecting sales at the best price, all automatically.
Agriculture is a trade passed down from generation to generation and most farmers find it difficult to use new technologies. Currently, the pest detection process is manual, making it impossible to cover large tracts of land on a daily basis, as well as entailing heavy losses if pests are detected in advanced stages, making it impossible to predict the category of products that will be available at the end of each season.
Grodi needs to develop an easy-to-use MVP app that breaks down these barriers and provides its users with the ease and convenience of automating the process, preventing and locating problems in their early stages, enabling farmers to act quickly.
Our research consisted of gathering relevant information about the plantations such as understanding what data is most relevant to the users, understanding the routines and problems of the farmers, discovering the layout and management of the greenhouses. To do this, we created a series of questions for the interviews with the farmers.
Once our research was completed, we were able to organize the information and variables according to their priority, which was different from the one proposed by the company. The app will allow users to: receive alerts about problems in the plantations, receive messages from the agronomist, follow the variables in real-time, consult traceability and visualize production estimates.
An important finding was that farmers wanted to use the app in its mobile version and not in the desktop version as the company initially proposed.
Based on the research, we designed an app that is easy to use, with an intuitive design and relevant information for the user. With this, Grodi aims to attract investors and users, avoiding losses in each campaign by automating the monitoring of the plantations.