NUTRITIONAL LOG

The Truth About Cherry

A Deep-Research Journal

Dr. Aria Vance
Dr. Aria Vance Lead Nutrition Data Scientist
Last Reviewed: Jun 3, 2026 • Data Sources: USDA FoodData Central, NutriSnap Volumetric Models

Structured Nutritional Data & Citations

SECTION 1: Nutritional and Physical Data Analysis - Cherry (Prunus avium)

1.1 Nutritional Profile (Sweet Cherries, Raw)

Metric Per 100g (Raw, edible portion) Per Standard Serving (1 cup, pitted ≈ 150g) Reference
Energy 63 kcal (264 kJ) 95 kcal (396 kJ) USDA FoodData Central (FDC ID: 170068)
Macronutrients
Protein 1.0 g 1.5 g USDA FoodData Central (FDC ID: 170068)
Total Carbohydrates 16.0 g 24.0 g USDA FoodData Central (FDC ID: 170068)
  - Sugars (total) 12.8 g 19.2 g USDA FoodData Central (FDC ID: 170068)
  - Dietary Fiber 2.1 g 3.2 g USDA FoodData Central (FDC ID: 170068)
Total Fat 0.2 g 0.3 g USDA FoodData Central (FDC ID: 170068)

1.2 Key Micronutrients & Bioactive Compounds

1.3 Functional Impact

1.4 Physical Properties


Field Notes: Dr. Aria Vance

Subject: Cherry
Focus: Volumetric expansion/contraction, historical context, tracking challenges.

SECTION 2: Dr. Aria Vance's Field Notes - The Elusive Cherry & The Tracking Conundrum

Why Cherry Is Difficult to Track

My laboratory, quite literally, reeked of cherry for a week. A beautiful, cloying sweetness, yes, but also a persistent, slightly fermenting note that drove our cleaning staff mad. This isn't just about sensory overload; it's about the profound, almost philosophical, difficulty in pinning down something as seemingly simple as a cherry for nutritional tracking. It's a tiny, red orb of delicious defiance.

Imagine a user, bright-eyed and health-conscious, trying to log their morning snack. They grab a "handful" of cherries. What does a "handful" even mean? My petite colleague's "handful" is a stark contrast to my own, let alone someone with hands like dinner plates. This isn't precision; it's a guesstimate wrapped in a wish. And then there's the pit. Oh, the pit! A significant portion of the cherry's mass, completely inedible. Does our user meticulously weigh their cherries, then pit them, then re-weigh the flesh? Preposterous. Utterly tedious. We're talking about a process so granular, so infuriatingly meticulous, that most people would rather throw their scale out the window than log a second serving.

Historically, cherries have always been somewhat slippery to define. From their origins in ancient Anatolia, across the Roman Empire's spread, to becoming "fruit of the gods" in various mythologies, they were appreciated for their fleeting beauty and taste, not their precise caloric density. How could they be? Pliny the Elder wasn't conducting macro analyses. Their very nature – a seasonal bounty, often consumed fresh off the branch or quickly processed into preserves – spoke to a spontaneity that defies rigid categorization. Different cultivars, too! A Bing isn't a Rainier, isn't a Montmorency. The subtle variances in sugar, water content, and thus caloric payload, while minor for a single fruit, compound rapidly. Over a week, over a month, these minor discrepancies create a dietary ghost, a phantom calorie intake that subtly sabotages even the most diligent tracker.

The current systems? Barcodes are useless for loose fruit. Measuring cups? Do you pack them tight? Loosely? Are the cherries uniform in size, or a jumbled mess of big and small? Scales are the gold standard, but who carries a digital scale to a picnic? And honestly, who has the patience to zero out for a bowl, add cherries, subtract the pits' weight? It's a nutritional obstacle course! This manual data entry is a relic. A well-intentioned, but ultimately flawed, approach to dietary accountability. It's the equivalent of using a quill pen in the age of processors. The friction is too high. The margin for user error, colossal.

This is precisely why we built NutriSnap. Because the human eye, augmented by forensic visual AI, can parse the nuance. It recognizes the cherry, estimates its volume with startling accuracy, even accounts for the expected pit percentage without a single weigh-in. No more guessing. No more culinary math acrobatics. You just snap, and our algorithms untangle the delicious, historical, and numerically challenging enigma of the cherry. Finally, precision that doesn't feel like a punishment.

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