This workflow follows the Googlegemini → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Crop Planning",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "ai-crop-planning",
"responseMode": "responseNode",
"options": {}
},
"id": "5aa25d41-2715-4520-a63c-c1b9f6419a67",
"name": "AI Planning Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
0,
0
]
},
{
"parameters": {
"jsCode": "// AI Crop Planning Logic\nvar request = $input.all()[0].json;\n// Added this so we could access data within the request body\nrequest = request.body;\n\n// Validate AI planning specific requests\nif (!request.data || !request.data.crop_type) {\n console.log(request)\n throw new Error('Error no data or crop_type');\n}\n\n// Extract planning parameters\nconst planningParams = {\n cropType: request.data.crop_type,\n season: request.data.season || 'current',\n location: request.data.location || 'unknown',\n plotSize: request.data.plot_size || '100_sq_ft',\n soilType: request.data.soil_type || 'mixed',\n userId: request.userId,\n orchestratorId: request.routing?.orchestratorId\n};\n\n// Prepare AI prompt based on action type\nlet aiPrompt = '';\nswitch(request.action) {\n case 'ai_schedule':\n aiPrompt = `Create a detailed planting and harvest schedule for ${planningParams.cropType} in ${planningParams.season} season. Location: ${planningParams.location}. Plot size: ${planningParams.plotSize}. Include: optimal planting dates, growth milestones, care instructions, harvest timeline, and expected yield.`;\n break;\n case 'crop_optimization':\n aiPrompt = `Optimize growing conditions for ${planningParams.cropType} in ${planningParams.location}. Soil type: ${planningParams.soilType}. Provide specific recommendations for: soil preparation, spacing, companion planting, pest management, and yield maximization techniques.`;\n break;\n case 'harvest_prediction':\n aiPrompt = `Predict harvest timing and yield for ${planningParams.cropType} planted in ${planningParams.season}. Consider location: ${planningParams.location} and plot size: ${planningParams.plotSize}. Include harvest windows, quality indicators, and storage recommendations.`;\n break;\n default:\n aiPrompt = `General agricultural advice for ${planningParams.cropType} cultivation.`;\n}\n\nconsole.log('AI Planning - Processing:', planningParams);\n\nreturn [{\n ...request,\n aiPrompt,\n planningParams\n}];"
},
"id": "68f79fee-dde8-4794-96df-7954456cb68a",
"name": "AI Planning Logic",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
0
]
},
{
"parameters": {
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": "ai_planning_requests",
"columns": {
"0": "u",
"1": "s",
"2": "e",
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"7": ",",
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"mappingMode": "defineBelow",
"value": {
"user_id": "={{ $json.userId }}",
"orchestrator_id": "={{ $json.planningParams.orchestratorId }}",
"season": "={{ $json.planningParams.season }}",
"crop_type": "={{ $json.planningParams.cropType }}",
"location": "={{ $json.planningParams.location }}",
"action_type": "={{ $json.action }}",
"ai_prompt": "={{ $json.aiPrompt }}",
"status": "open"
},
"matchingColumns": [
"id"
],
"schema": [
{
"id": "id",
"displayName": "id",
"required": false,
"defaultMatch": true,
"display": true,
"type": "number",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "user_id",
"displayName": "user_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "orchestrator_id",
"displayName": "orchestrator_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "crop_type",
"displayName": "crop_type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "season",
"displayName": "season",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "location",
"displayName": "location",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "action_type",
"displayName": "action_type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "ai_prompt",
"displayName": "ai_prompt",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "status",
"displayName": "status",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "created_at",
"displayName": "created_at",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": true,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"id": "f6f9a25d-7d3e-4901-81e2-26ce2a9ce423",
"name": "Log AI Request to DB",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.4,
"position": [
448,
0
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// Process AI response and structure for database storage\nconst aiResponse = $input.all()[0].json;\nconst originalRequest = $('AI Planning Logic').item.json;\n\n// Extract AI recommendations\nlet recommendations = '';\nif (aiResponse.generated_text) {\n recommendations = aiResponse.generated_text;\n} else if (aiResponse[0] && aiResponse[0].generated_text) {\n recommendations = aiResponse[0].generated_text;\n} else {\n recommendations = 'AI service unavailable - using fallback recommendations';\n}\n\n// Structure the planning result\nconst planningResult = {\n userId: originalRequest.userId,\n orchestratorId: originalRequest.orchestratorId,\n cropType: originalRequest.planningParams.cropType,\n season: originalRequest.planningParams.season,\n location: originalRequest.planningParams.location,\n actionType: originalRequest.action,\n aiRecommendations: $input.first().json.content.parts[0].text,\n confidence: aiResponse.confidence || 0.8,\n generatedAt: new Date().toISOString(),\n status: 'completed'\n};\n\n// Calculate estimated planting/harvest dates based on crop type\nconst today = new Date();\nconst plantingDate = new Date(today.getTime() + (7 * 24 * 60 * 60 * 1000)); // 1 week from now\nlet harvestDate = new Date(plantingDate);\n\n// Basic harvest timing by crop type (days to harvest)\nconst cropTimings = {\n 'tomatoes': 80,\n 'lettuce': 45,\n 'carrots': 70,\n 'beans': 60,\n 'corn': 100,\n 'peppers': 85,\n 'squash': 95\n};\n\nconst daysToHarvest = cropTimings[originalRequest.planningParams.cropType.toLowerCase()] || 75;\nharvestDate.setDate(plantingDate.getDate() + daysToHarvest);\n\nplanningResult.estimatedPlantingDate = plantingDate.toISOString().split('T')[0];\nplanningResult.estimatedHarvestDate = harvestDate.toISOString().split('T')[0];\n\nconsole.log('AI Planning Result:', planningResult);\n\nreturn [planningResult];"
},
"id": "2c4b57ef-8366-41d6-8e92-10a71324d472",
"name": "Process AI Response",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1504,
0
]
},
{
"parameters": {
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": "crop_plans",
"columns": {
"0": "u",
"1": "s",
"2": "e",
"3": "r",
"4": "_",
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"172": "t",
"mappingMode": "defineBelow",
"value": {
"id": 0,
"confidence_score": 0
},
"matchingColumns": [
"id"
],
"schema": [
{
"id": "id",
"displayName": "id",
"required": false,
"defaultMatch": true,
"display": true,
"type": "number",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "user_id",
"displayName": "user_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "orchestrator_id",
"displayName": "orchestrator_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "crop_type",
"displayName": "crop_type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "season",
"displayName": "season",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "location",
"displayName": "location",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "action_type",
"displayName": "action_type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "ai_recommendations",
"displayName": "ai_recommendations",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "estimated_planting_date",
"displayName": "estimated_planting_date",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "estimated_harvest_date",
"displayName": "estimated_harvest_date",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "confidence_score",
"displayName": "confidence_score",
"required": false,
"defaultMatch": false,
"display": true,
"type": "number",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "status",
"displayName": "status",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "created_at",
"displayName": "created_at",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": true,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"id": "3970b0fd-3cfb-4b1c-8197-286fce19e7ef",
"name": "Save Crop Plan to DB",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.4,
"position": [
1712,
-272
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "https://n8n.collective.local/webhook/microinvestment",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\n \"action\": \"check_tool_needs\",\n \"role\": \"system\",\n \"userId\": \"{{ $json.userId }}\",\n \"data\": {\n \"crop_type\": \"{{ $json.cropType }}\",\n \"season\": \"{{ $json.season }}\",\n \"plot_size\": \"{{ $('AI Planning Logic').item.json.planningParams.plotSize }}\",\n \"recommendations\": \"{{ $json.aiRecommendations }}\",\n \"check_type\": \"tool_optimization\"\n }\n}",
"options": {
"timeout": 15000
}
},
"id": "08058e0e-8fe8-454a-a4c5-4dd07daea218",
"name": "Check for Tool Investment Opportunities",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1936,
-256
]
},
{
"parameters": {
"jsCode": "// Prepare final response for orchestrator\nconst cropPlan = $('Process AI Response').item.json;\nconst toolCheck = $input.all()[0].json;\n\nconst finalResponse = {\n success: true,\n workflowType: 'ai-crop-planning',\n result: {\n cropPlan: {\n cropType: cropPlan.cropType,\n season: cropPlan.season,\n location: cropPlan.location,\n estimatedPlantingDate: cropPlan.estimatedPlantingDate,\n estimatedHarvestDate: cropPlan.estimatedHarvestDate,\n aiRecommendations: cropPlan.aiRecommendations,\n confidence: cropPlan.confidence\n },\n toolInvestmentOpportunities: toolCheck.success ? toolCheck.recommendations : [],\n nextSteps: [\n 'Review AI recommendations',\n 'Check microinvestment opportunities',\n 'Schedule planting activities',\n 'Set harvest reminders'\n ]\n },\n timestamp: new Date().toISOString(),\n orchestratorId: cropPlan.orchestratorId\n};\n\nconsole.log('AI Planning - Final Response:', finalResponse);\n\nreturn [finalResponse];"
},
"id": "05e027fd-cd2d-44a5-81f8-3e055ed05eb4",
"name": "Prepare Final Response",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2112,
-256
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ $json }}",
"options": {}
},
"id": "2c53d7ef-8715-4aff-bd1c-8f2135b3cfc3",
"name": "AI Planning Response",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
1744,
0
]
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $('AI Planning Logic').item.json.model }}",
"rightValue": "gemini",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "1475837c-0671-44c7-ad6d-06b354c808bb"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "f8473bae-aab5-472d-bfa4-7ef595a7cf48",
"leftValue": "={{ $('AI Planning Logic').item.json.model }}",
"rightValue": "chatgpt",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
}
]
},
"options": {}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
656,
0
],
"id": "a2538499-40e4-4801-a507-4d3ee24171f6",
"name": "Switch"
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-2.0-flash-lite",
"mode": "list",
"cachedResultName": "models/gemini-2.0-flash-lite"
},
"messages": {
"values": [
{
"content": "={{ $json.ai_prompt }}"
}
]
},
"jsonOutput": true,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
864,
-96
],
"id": "02e00c23-6cd8-4333-a625-41b2132c8253",
"name": "Message a model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "gpt-3.5-turbo",
"mode": "list",
"cachedResultName": "GPT-3.5-TURBO"
},
"messages": {
"values": [
{
"content": "={{ $('AI Planning Logic').item.json.aiPrompt }}"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.8,
"position": [
864,
96
],
"id": "68d7bf7c-01cc-40b6-887c-86aaccc0e9b7",
"name": "Message a model1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"AI Planning Webhook": {
"main": [
[
{
"node": "AI Planning Logic",
"type": "main",
"index": 0
}
]
]
},
"AI Planning Logic": {
"main": [
[
{
"node": "Log AI Request to DB",
"type": "main",
"index": 0
}
]
]
},
"Log AI Request to DB": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Process AI Response": {
"main": [
[
{
"node": "AI Planning Response",
"type": "main",
"index": 0
}
]
]
},
"Save Crop Plan to DB": {
"main": [
[]
]
},
"Check for Tool Investment Opportunities": {
"main": [
[]
]
},
"Prepare Final Response": {
"main": [
[]
]
},
"AI Planning Response": {
"main": [
[]
]
},
"Switch": {
"main": [
[
{
"node": "Message a model",
"type": "main",
"index": 0
}
],
[
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"Message a model": {
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"Message a model1": {
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"settings": {
"executionOrder": "v1"
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"meta": {
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"id": "LZlAHmdNaE09qHJy",
"tags": [
{
"name": "AI Crop Planning",
"id": "VHYc5GPscHpNLgTe",
"createdAt": "2025-09-30T13:40:31.657Z",
"updatedAt": "2025-09-30T13:40:31.657Z"
}
]
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googlePalmApiopenAiApipostgres
Pro
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How this works
This workflow streamlines crop planning for small-scale farmers and agricultural consultants by generating tailored planting schedules based on inputs like soil type, climate data, and crop preferences, saving hours of manual research and reducing planning errors. It leverages Google Gemini's AI capabilities to analyse these factors and produce optimised recommendations, while integrating with PostgreSQL to store and retrieve historical data for more accurate forecasts. The key step involves the AI processing your query through a secure webhook trigger, delivering a comprehensive plan that includes crop rotations, fertiliser needs, and harvest timelines directly back to your application.
Use this workflow when you need quick, data-driven insights for seasonal planting decisions, such as preparing for a new growing cycle or adjusting to weather changes, especially if you're already using webhooks for real-time inputs. Avoid it for large commercial operations requiring advanced GIS mapping or regulatory compliance checks, as it focuses on AI-assisted basics rather than enterprise-scale simulations. Common variations include swapping Google Gemini for OpenAI to incorporate different AI models or adding HTTP requests to pull live weather APIs for enhanced predictions.
About this workflow
Crop Planning. Uses postgres, httpRequest, respondToWebhook, googleGemini. Webhook trigger; 11 nodes.
Source: https://github.com/Blackmarket-coa/Black-Market-COA-/blob/f9a884bdc321f72b7fb53a6ec1235058d3ed4d2d/n8n-workflows/ai_crop_planning.json — original creator credit. Request a take-down →
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