AGRIFUTURA : Intelligent Crop Selection for a Sustainable Tomorrow

Knowing the changes in climate issues and the depletion of resources on the planet is ever-growing, a balanced approach to sustainability within agricultural practices needs to be done. This article presents an integrated IoT-based crop recommendation and management system, with an associated mobile application. The system enables real-time monitoring of soil parameters, including tds , turbidity ,rainfall, soil mositure along with temperature and humidity. These values are measured and gathered through IoT sensors, which, combined with the current moisture content of the soil, aid in formulating real-time critical data on climate. All of this is captured and stored on a Firebase cloud, and the mobile application is synced to offer the end-user a list of pre-approved crops. Thus, the optimal cultivation model supported by IoT demonstrates agriculture technology’s ability to maximize profits and reduce environmental impact and traditional farming’s shortcomings. All empirical tests proved the system’s accuracy and functional performance. Indeed, the recommendations are offered with greater precision and reliability due to the application of machine learning and especially, K-Nearest neighbors (K.N.N)