High-Level Project Summary
High level project Resume:We work in the development of an alert application about the farming care against solar factors from extracted data provided by NASA.We chose to develop an interactive application in which we will be able to represent the variables of temperature humidity and solar radiation these will be delivere to farmers along with advises in order to improve their farming.The value of this lies in the poor farming knowledge about the side solar effects that intervene on earth and affect their looses. Thats why we decided to create an alert applicationin order to generate solutions and improve their farming.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
The application will provide the temperature, humidity and solar radiation data in real time for each crop, it will also give the variables that are optimal, if these are not, recommendations will be made to avoid losses, supporting farmers with respect to the impact that climate generates on crops. The application requests permission from the user to access the location and weather data, this information will be sent to the POWER DATA API and once it receives them, it will respond with the variables of temperature, humidity and solar radiation, in the place where the user is and in real time. Each crop has optimal ranges of variables, so when the parameters are outside the optimal range, it will issue an advice to solve the problem.
The benefits provided by the application, contribute to the solution of a global problem, with which farmers will have fewer losses in their crops and get advice to improve the quality of their products, additionally favoring family finances.
We hope to achieve an increase in the quality and quantity of agricultural production in Sogamoso, Boyaca, a better understanding of climate variables, an improvement in the health of farmers, awareness of the influence of the sun on agriculture and the visibility of farmers by society.
For the development of the mobile application, the dart programming language was used, using the flutter framework through widgets, which facilitate access to the functions of the application.
Space Agency Data
The data used for the application are the temperature on the ground, measured in degrees Celsius, the relative humidity of the air, measured in percentage and solar radiation in the air measured in U.V. rays, these inputs were extracted from the API of the project predition of world energy resource (power) of NASA, the data of these variables were used to have the parameters in real time within the application, showing data according to the location in which the user is located.
We were inspired by these data due to the importance they have in agriculture and the lack of knowledge of them by the farmer, so we took on the task of showing them in a way that can easily understand them and at the same time help in the process of crop development.
Hackathon Journey
Our experience in the space app challenge was very enjoyable and challenging, as we were able to share and discuss in the call with all the groups in the challenge.
We learned to give more importance to the effects of space and terrestrial weather on agriculture. We chose this challenge because the data provided by NASA about the sun is very important in agriculture. That is why we decided to use this information to benefit the farmers and growers of our region, because they are facing climate variations on their crops and nowadays the effects of climate change.
With patience and discipline we have accepted this challenge, which leads to the growth of the work team, each day improving our way of acting in the situations we face as a group.
We would mainly like to thank the support of our teachers Adriana Vega Pinzón, María del Carmen Arias Vargas and our project advisor Ximena Galindo, who have helped us in the development of our idea, encouraging us to never feel less than others and always have our heads held high; to the systems engineers who have guided us in the development of the application Jorge Espindola, Francisco Vargas and Camilo Nore.
References
https://power.larc.nasa.gov/data-access-viewer/
https://app.genial.ly/
https://filmora.wondershare.es/
Pain 3D
https://power.larc.nasa.gov/docs/services/api/
Tags
#climate,#farming,#app