> For the complete documentation index, see [llms.txt](https://docs.didge.io/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.didge.io/home/ridgy-vision-ai/end-user/juicy-fruit-ccp.md).
# Juicy Fruit CCP
Automated CCP Monitoring with Ridgy AI
***
### 1. Introduction
Juicy Fruit is the smart way to manage fruit and vegetable sanitation at your Critical Control Points (CCPs). Using cutting-edge AI technology integrated into the Ridgy system, Juicy Fruit automatically extracts key food safety data from images, eliminating the burden of manual entry and reducing the risk of errors. This means faster compliance checks, streamlined record-keeping, and more confidence in your HACCP program—all in a single click.
With Juicy Fruit, your CCP records are no longer just paperwork; they’re living data, powered by AI.
***
### 2. Why Sanitation Matters
Sanitation of fresh produce is a critical control point within HACCP programs because fruits and vegetables can carry physical, chemical, and microbiological hazards from the field, transport, or handling environment. Effective sanitation reduces risks such as pathogen contamination (e.g., Salmonella, Listeria, E. coli), allergen cross-contact, and chemical residues. From a food safety perspective, consistent monitoring of sanitation practices ensures compliance with regulatory standards, protects consumers, and safeguards brand reputation. By validating controls such as wash water quality, sanitizer use, and handler hygiene, organizations can demonstrate due diligence and maintain a robust food safety management system.
***
### 3. Data Extracted
When an image is uploaded to Juicy Fruit, the Ridgy AI system analyzes it and auto-populates structured data across four key tabs: Product, Sanitation, Controls, and Risks. These fields represent the data points that would normally be recorded manually during CCP monitoring.
### **4. Product Tab**
* Product – Identifies fruit or vegetable type.
* pH – Extracts pH reading of wash or product.
* Dwell Time – Captures recorded contact/exposure time (e.g., seconds).
* Damage – Detects visible damage to produce.
* Foreign Matter – Flags presence of contaminants (plastic, soil, pests).
* Cross-contact – Identifies possible cross-contact risks between batches/products.
### **5. Sanitation Tab**
* Water Clarity – Assesses turbidity or sediment in wash water.
* Sanitizer Evidence – Detects sanitizer use (foam, chemical indicator presence).
* Test Strips – Extracts results from sanitizer test strips.
* Residue – Notes visible residues left on surfaces or produce.
* Handler Hygiene – Monitors glove use, handwashing, or visible hygiene practices.
### **6. Controls Tab**
* Tools in View – Identifies tools, utensils, or equipment present.
* Labels/Tags – Captures product labels, allergen tags, or compliance stickers.
* Batch Segregation – Confirms physical separation of batches/products.
### **7. Risks Tab**
* Allergens – Detects presence of allergenic produce or cross-contact risks.
* Chemicals Nearby – Identifies cleaning chemicals or chemical storage in proximity.
* PPE Use – Verifies correct personal protective equipment worn.
* Surfaces – Notes the type and cleanliness of contact surfaces.
***
### 8. Summary
Juicy Fruit transforms CCP monitoring into a seamless digital process. By automatically extracting critical data points from images, it helps food businesses save time, improve accuracy, and strengthen compliance. Together with HACCP principles, Juicy Fruit ensures fruit and vegetable sanitation remains transparent, traceable, and verifiable—keeping food safe, fresh, and trusted.
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