Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
CultivaPro is a web application designed specifically for farmers and agronomists, providing personalized recommendations for pest management, diseases, and cultivation practices. By analyzing user-input data such as crop type, growth stage, geographical location, and symptoms, CultivaPro generates effective solutions, application calendars, and practical advice to optimize agricultural production.

## CORE FEATURES
1. **User Data Input**: Users can enter detailed information about their crops, including type, growth stage, and symptoms. This feature includes multiple-choice options to enhance user experience and accuracy.
2. **Personalized Recommendations**: Based on the input data, the application generates tailored solutions for pest and disease management, promoting efficient agricultural practices.
3. **Application Calendar**: Users receive a calendar indicating the best times for applying treatments or interventions based on their specific conditions.
4. **Practical Advice**: The platform offers actionable tips and best practices to optimize crop production and health.
5. **Case Simulation**: Users can simulate scenarios with different crops (e.g., tomatoes, corn, and beans) to see how the application responds and what recommendations are generated.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography
- **Color Mode**: Light theme with dark text on light backgrounds
- **Primary Color**: #1978E5 (accent for buttons, links, highlights)
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs
- **Layout**: The main layout will feature a top navigation bar, a hero section for user engagement, input forms for data entry, a results display area for recommendations, and a footer with contact information.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: React Context API or Zustand (for managing user inputs and application state)

## IMPLEMENTATION STEPS
1. **Set Up Development Environment**: Install Node.js, create a new React application with TypeScript, and set up Tailwind CSS.
2. **Design the Layout**: Create the overall structure using functional components, including the navigation bar, hero section, input forms, and results display area.
3. **Implement Input Forms**: Develop forms for users to input data about their crops, ensuring to include multiple-choice options for ease of use.
4. **Build Recommendation Engine**: Create a function to process user inputs and generate personalized recommendations based on predefined criteria.
5. **Develop Calendar Feature**: Implement a calendar component that displays optimal treatment times based on user data.
6. **Simulate Case Studies**: Allow users to select different crops and generate recommendations to demonstrate the application's capabilities.
7. **Style Components**: Apply Tailwind CSS classes to achieve the minimalist design, ensuring to use the specified primary color and typography.
8. **Testing and Debugging**: Conduct thorough testing to ensure all features work as intended, with a focus on user experience.

## USER EXPERIENCE
Users will experience a streamlined process where they can easily enter their crop data through intuitive forms. Upon submission, they will receive instant feedback with personalized recommendations and a visual calendar. The app's minimalist design will ensure that users can focus on the information that matters most, enhancing their ability to make informed decisions for their agricultural practices.