🤖 Crop Health Bot

\n \n

\n \n {isLoading ? \"Analyzing...\" : \"Analyze Crop Health\"}\n \n

\n )}\n\n {analysis && (\n \n

🌾 Analysis Results

\n \n

\n Health Score:\n 80\n ? \"green\"\n : analysis.healthScore > 50\n ? \"orange\"\n : \"red\",\n }}\n >\n {analysis.healthScore}%\n \n

\n generatePDFReport(analysis)}\n style={{\n backgroundColor: \"#3498db\",\n color: \"white\",\n border: \"none\",\n padding: \"8px 15px\",\n borderRadius: \"5px\",\n cursor: \"pointer\",\n }}\n >\n 📄 Generate Report\n \n \n\n

Detailed Analysis

{analysis.analysis}

\n\n

🧪 Recommended Treatments

\n Fertilizers:\n

{fert}

\n Pesticides:\n

{pest}

\n\n {analysis.localInsights && (\n

🌎 Local Insights

{analysis.localInsights}

\n )}\n \n )}\n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/analyze\") {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const formData = await request.formData();\n const imageFile = formData.get(\"image\") as File;\n const latitude = formData.get(\"latitude\") as string | null;\n const longitude = formData.get(\"longitude\") as string | null;\n\n if (!imageFile) {\n return new Response(JSON.stringify({ error: \"No image uploaded\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n const imageBytes = await imageFile.arrayBuffer();\n const base64Image = btoa(\n String.fromCharCode.apply(null, new Uint8Array(imageBytes)),\n );\n\n try {\n const response = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"system\",\n content: `You are an advanced agricultural AI bot. \n When analyzing a crop image, provide:\n 1. A health score from 0-100%\n 2. Detailed crop health analysis\n 3. Specific fertilizer recommendations\n 4. Specific pesticide recommendations\n 5. Local agricultural insights based on coordinates if provided`,\n },\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: `Analyze this agricultural drone image. \n Provide a comprehensive health assessment.\n ${latitude && longitude ? `Location Coordinates: ${latitude}, ${longitude}` : \"\"}`,\n },\n {\n type: \"image_url\",\n image_url: { url: `data:image/jpeg;base64,${base64Image}` },\n },\n ],\n },\n ],\n response_format: { type: \"json_object\" },\n max_tokens: 500,\n });\n\n const analysisResult = JSON.parse(response.choices[0].message.content || \"{}\");\n\n return new Response(\n JSON.stringify({\n healthScore: analysisResult.healthScore || 75,\n analysis: analysisResult.analysis || \"Unable to generate detailed analysis.\",\n recommendations: analysisResult.recommendations || [],\n fertilizers: analysisResult.fertilizers || [\"Generic NPK Fertilizer\"],\n pesticides: analysisResult.pesticides || [\"General Crop Protection Spray\"],\n localInsights: analysisResult.localInsights || \"No specific local insights available.\",\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n console.error(\"OpenAI Analysis Error:\", error);\n return new Response(\n JSON.stringify({\n error: \"Image analysis failed\",\n details: String(error),\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n return new Response(\n `\n \n \n 🤖 Crop Health Bot\n \n \n \n \n

\n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","deleted","label",[99],"permalink","https://www.val.town/x/DegVal/Val_Geo/code/main.tsx","extension","actionData","errors"]