We are planning to develop Project ANI. It helps people where to plant or what plant is suitable for their location. It works when a user search for the plant he wants and the app will show locations where that specific plant is suitable to grow, and the user could also view his location or a specific location and the app will show the plants suitable for the location. It is important because a lot of people just hope their plant to grow but it doesn't, which may led them not to plant anymore. A lot of people also don't have any knowledge about planting, specifically about the location where to plant. We hope to achieve a greener planet, a sustained ecosystem.
The project's conceptual development was derived by the enthusiasm of the members towards the environment. By using atmospheric parameters, we plan on correlating it with the soil temp and pH parameters, using predictive algorithms to create a forecast regarding the qualities of the soil and atmospheric conditions. On extracting API file formats (NASA data), they plan on extracting it using JavaScript and HyperTextMarkupLanguage (HTML), and develop the application using either MIT App Inventor 2 or Android Studio (In this case, we suggest on using Android Studio). In the beginning of developing the concept, we were pressured on how we are going to develop the application, finding out that the background of our members to programming ranges about no or to little experience. However, we still inspired ourselves to develop the prototype using Adobe Photoshop even though we are all first timers in the field of prototyping and editing. Having able to finish the graphics, we intend to finish the application if possible to help the general in accessing satellite data into the comfort of their own hands.
We were only able to use 2 kinds of satellite data (NDVI and imagery), and by using daily weather forecasts by google, with this, we were able to check the possibilities of calculating soil pH and moisture using imagery and temperature. By using the number of pixels, and the use of other data parameters, we might be able to complete the holes that we need with regards to monitoring the soil.
https://docs.google.com/presentation/d/1CW4go6vHd5mVI5vwRGGg-obAvfFH8_GNTw4gG3MhXVE/edit#slide=id.g9ad0024a69_0_114
The functionality of the application is shown here, also the overall data proceses.
landviewer, eos.com/crop-monitoring, and NASA API