/** @jsxImportSource https://esm.sh/react */ import React, { useState, useRef, useCallback } from "https://esm.sh/react"; import { createRoot } from "https://esm.sh/react-dom/client"; // Expanded plant database with more comprehensive entries const PLANT_DATABASE = { 'Rosa damascena': { scientificName: 'Rosa damascena', commonName: 'Damask Rose', description: 'A fragrant rose variety known for its essential oil production and historical significance.', careInstructions: { sunlight: 'Full sun, at least 6 hours of direct sunlight daily', water: 'Moderate watering, allow soil to dry between waterings', soil: 'Well-draining, slightly acidic soil', temperature: '60-75°F (15-24°C)' }, habitat: 'Native to Middle East, particularly Syria and Iran', uses: [ 'Perfume production', 'Culinary applications', 'Traditional medicine', 'Essential oil extraction' ], toxicity: 'Non-toxic to humans and most pets', bloomSeason: 'Late spring to early summer', height: '4-6 feet (1.2-1.8 meters)', imageUrl: 'https://maxm-imggenurl.web.val.run/damask-rose-detailed' }, 'Monstera deliciosa': { scientificName: 'Monstera deliciosa', commonName: 'Swiss Cheese Plant', description: 'A popular tropical houseplant known for its distinctive split leaves and easy care.', careInstructions: { sunlight: 'Bright, indirect light', water: 'Weekly, allowing top inch of soil to dry', soil: 'Well-draining potting mix', temperature: '65-85°F (18-29°C)' }, habitat: 'Tropical forests of southern Mexico and Panama', uses: [ 'Indoor decoration', 'Air purification', 'Edible fruit in mature plants', 'Ornamental gardening' ], toxicity: 'Toxic if ingested, can cause mouth and stomach irritation', bloomSeason: 'Rarely blooms indoors', height: '10-15 feet (3-4.5 meters) in natural habitat', imageUrl: 'https://maxm-imggenurl.web.val.run/monstera-deliciosa' }, 'Ficus lyrata': { scientificName: 'Ficus lyrata', commonName: 'Fiddle Leaf Fig', description: 'A trendy indoor plant with large, violin-shaped leaves, popular in modern interior design.', careInstructions: { sunlight: 'Bright, indirect light', water: 'When top inch of soil is dry', soil: 'Well-draining potting mix', temperature: '60-75°F (15-24°C)' }, habitat: 'West African tropical rainforests', uses: [ 'Indoor decoration', 'Air purification', 'Modern interior design' ], toxicity: 'Mildly toxic if ingested', bloomSeason: 'Does not typically bloom indoors', height: '6-10 feet (1.8-3 meters) indoors', imageUrl: 'https://maxm-imggenurl.web.val.run/fiddle-leaf-fig' } }; // Plant Identification Service (Simulated with more sophisticated matching) async function identifyPlant(imageFile) { return new Promise((resolve, reject) => { // Simulate API call with image processing const reader = new FileReader(); reader.onloadend = () => { // Basic image analysis simulation const imageData = reader.result; // Sophisticated matching logic const matchConfidences = { 'Rosa damascena': calculateImageSimilarity(imageData, 'rose'), 'Monstera deliciosa': calculateImageSimilarity(imageData, 'monstera'), 'Ficus lyrata': calculateImageSimilarity(imageData, 'fiddle-leaf') }; // Find the most likely match const bestMatch = Object.entries(matchConfidences) .reduce((a, b) => a[1] > b[1] ? a : b); if (bestMatch[1] > 0.6) { // Confidence threshold resolve({ plant: PLANT_DATABASE[bestMatch[0]], confidence: Math.round(bestMatch[1] * 100) }); } else { reject(new Error('Plant not recognized with sufficient confidence')); } }; reader.readAsDataURL(imageFile); }); } // Simulated image similarity calculation function calculateImageSimilarity(imageData, plantType) { // In a real scenario, this would use machine learning techniques const randomFactor = Math.random() * 0.4 + 0.3; // Base randomness const typeSpecificBoost = { 'rose': imageData.includes('flower') ? 0.3 : 0, 'monstera': imageData.includes('large-leaf') ? 0.3 : 0, 'fiddle-leaf': imageData.includes('violin-shape') ? 0.3 : 0 }; return Math.min(randomFactor + (typeSpecificBoost[plantType] || 0), 1); } function PlantDetailCard({ plant, confidence }) { return (

{plant.commonName}

{plant.scientificName}

Confidence: {confidence}%

{/* Rest of the PlantDetailCard remains the same as previous implementation */}

🌞 Care Instructions

Sunlight: {plant.careInstructions.sunlight}
Water: {plant.careInstructions.water}
Soil: {plant.careInstructions.soil}
Temperature: {plant.careInstructions.temperature}

🌍 Habitat

{plant.habitat}

🌱 Height

{plant.height}

{/* Rest of the component remains the same */}

); } function PlantIdentifierApp() { const [selectedImage, setSelectedImage] = useState(null); const [plantInfo, setPlantInfo] = useState(null); const [identificationError, setIdentificationError] = useState(null); const [isLoading, setIsLoading] = useState(false); const [captureMode, setCaptureMode] = useState(false); const videoRef = useRef(null); const canvasRef = useRef(null); const handleImageUpload = async (event) => { const file = event.target.files[0]; processImage(file); }; const processImage = async (file) => { if (file) { setSelectedImage(URL.createObjectURL(file)); setIsLoading(true); setIdentificationError(null); try { const result = await identifyPlant(file); setPlantInfo(result.plant); setIsLoading(false); setCaptureMode(false); } catch (error) { console.error('Plant identification error:', error); setIdentificationError(error.message); setIsLoading(false); } } }; // Rest of the component remains the same as previous implementation const startCamera = useCallback(async () => { setCaptureMode(true); try { const stream = await navigator.mediaDevices.getUserMedia({ video: true }); if (videoRef.current) { videoRef.current.srcObject = stream; } } catch (err) { console.error("Error accessing camera:", err); setCaptureMode(false); } }, []); const capturePhoto = useCallback(() => { if (videoRef.current && canvasRef.current) { const context = canvasRef.current.getContext('2d'); context.drawImage(videoRef.current, 0, 0, 400, 300); canvasRef.current.toBlob((blob) => { processImage(new File([blob], 'captured-plant.jpg', { type: 'image/jpeg' })); }, 'image/jpeg'); } }, [processImage]); const resetCapture = () => { setSelectedImage(null); setPlantInfo(null); setIdentificationError(null); setCaptureMode(false); }; return (

🌿Plant Identifier

{/* Previous implementation remains the same */} {!captureMode && !selectedImage && (

📤 Upload Image

)} {/* Error handling section */} {identificationError && (

Identification Error: {identificationError} ❌

)} {/* Rest of the component remains the same */} {captureMode && (

)} {selectedImage && (

)} {isLoading && (

🌱 Identifying plant...

)} {plantInfo && ( )}

); } function client() { createRoot(document.getElementById("root")).render(); } if (typeof document !== "undefined") { client(); } export default async function server(request: Request): Promise { return new Response(` Plant Identifier

`, { headers: { "content-type": "text/html", }, }); }

mahtabtattur