CropDoc for Android
- Mentors
- Gabry, Mario Ezquerro
- Organization
- Liquid Galaxy project
- Technologies
- python, android, tensorflow
- Topics
- Tensorflow, Machine Learning, Android, Mobile Application, Computers, Apples, Bacterial Fire.
The main objective of this project is to develop an Android application to help companies or competent authorities and farmers to detect certain crop illnesses on the terrain and display the localization of the trees and terrains affected by the crop illness on the liquid galaxy to help them monitor the evolution of such illnesses throughout the territory.
The problem will be solved through an android application with a machine learning model that will detect the illness of the samples. After that, the location of the sample will be recorded, and the coordinates will be displayed on the liquid galaxy.
The deliverable will be an android app that will do anything that has already been commented on.