AI-Powered-Localized-Weather-Forecasting-System-for-Precision-Agriculture

website 🌾 AI-Powered Localized Weather Forecasting System for Precision Agriculture Overview

This project is a smart weather forecasting system designed to help farmers with real-time, location-based weather updates and personalized farming tips. It uses weather APIs, artificial intelligence, and a simple web interface to improve crop management and farming efficiency.

Features

Real-time weather updates based on user location.

Smart farming tips depending on temperature, wind, and rain.

Easy-to-use website with a search bar for locations.

AI-generated advice to improve crop yield and save resources.

Stores weather data and tips using MongoDB.

Technologies Used

Frontend: HTML, CSS, JavaScript

Backend: PHP

API: OpenWeatherMap API / OpenFarm API

How to Run

Extract the whearting.zip file.

Set up a PHP server (like XAMPP, WAMP, or PHP built-in server).

Configure MongoDB connection details in the backend PHP files.

Get your OpenWeatherMap API key and insert it into the weather.php file.

Open the website in your browser and search for your location.

Requirements

PHP server

OpenWeatherMap API key

Internet connection

Aim

Help farmers make smart decisions by giving accurate weather forecasts and useful farming tips based on real-time data.

Slogan

"Smart Weather, Smarter Farming."