Tempo de leitura: 15 minutos

Resultado do Caju & KOR

Guia completo: Definição, Fórmula, Calculadora e Marcas de Benchmarks de máquina

Resultado do caju — ou KOR (Rácio de Resultado do Kernel) — é o único número que determina o valor comercial de cada saco de castanha de caju cru e o desempenho operacional de cada máquina de corte em seu chão de fábrica. Este guia completo cobre a fórmula oficial ComCashew, todas as 7 categorias de defeitos do kernel, benchmarks específicos de origem em 14 países, a ciência da umidade por trás de toda a recuperação do kernel, e a relação direta entre o design da máquina de corte e o resultado que você alcança.

O que é o resultado de Cashew?

Resultado caju é a métrica de qualidade mais importante no comércio global de caju. Ele mede o peso do kernel utilizável que você recuperar de uma determinada quantidade de castanhas de caju cru — e determina o valor comercial de cada saco comercializado entre agricultor, exportador e processador.

A própria palavra importa. OUTTURN como marca foi escolhido deliberadamente porque na indústria de processamento de caju, o resultado é tudo. Quando um gerente de fábrica diz que seu resultado é bom, eles significam que toda a taxa de recuperação do kernel é alta. Quando um comerciante cita o resultado 48, eles significam 48 libras de kernel utilizável por 80 kg saco. Todas as conversas na cadeia de valor de caju acabam por voltar a este número.

Duas Definições — Uma Palavra

Resultado significa coisas diferentes, dependendo de onde você está na cadeia de suprimentos de caju. Entender ambas as definições é essencial porque confundi-las leva a erros de aquisição e gerar erros de cálculo.

Contexto	O que significa "resultado"	Expresso Como
Comércio RIC	Peso dos grãos utilizáveis a partir de saco de 80 kg de nozes em casca — O índice de referência da qualidade da carga	Lbs por saco de 80 kg (por exemplo, «volume 48»)
Fábrica / Processamento	Percentagem de grãos inteiros recuperados a partir de frutos de casca rija — o parâmetro de desempenho da máquina	% de recuperação total do kernel (por exemplo, «WKR 77%»)

Distinção crítica: A KOR do comerciante mede a qualidade ao entrar na fábrica. O WKR (Whole Kernel Recovery) da fábrica mede o que a máquina de corte faz com essa entrada. Uma carga de alto KOR processada em uma máquina mal calibrada pode produzir WKR pobre. Uma carga de KOR mais baixa em uma máquina Outturn precisa ainda pode produzir grãos W320 e W240 inteiros de qualidade premium.

O que o KOR representa

KOR significa razão de resultados do Kernel — ou em alguns documentos comerciais, taxa de saída Kernel. Ambos significam a mesma coisa. Outros termos que você encontrará:

Execução — mais frequentes em África Ocidental, Vietname, Índia
KOR — sigla comercial universal
Resultado (hifenizado) — variante de documentação formal
Produção de kernel — por vezes utilizado por compradores e fabricantes de alimentos
WKO (Resultado do Kernel Inteiro) — utilizado em contextos académicos e laboratoriais

Quem Mede o Resultado — E quando

O controlo de qualidade utilizando resultados ocorre em múltiplos pontos ao longo da cadeia de abastecimento de caju:

Agricultores — medida que justifica o pedido de preço e evita a subavaliação dos compradores
Compradores locais — testar lotes de entrada para evitar a aceitação de lotes abaixo da categoria de fornecedores
Exportadores — controlo da qualidade nos principais portos (Abidjan, Tema, Lomé) antes da expedição para a Ásia
Fábricas locais de bombardeamento — CCN de ensaio à chegada antes do processamento; a qualidade deteriora-se durante o armazenamento

Nota de tempo da fábrica: Sempre testar RCN antes de processar — não só na compra. Uma carga que passou por inspeção no porto pode ter se degradado durante o trânsito e armazenamento. Um segundo teste de corte na chegada à fábrica é a melhor prática e protege toda a taxa de recuperação do kernel desde o primeiro turno.

Equipamento necessário para o ensaio de corte KOR

A seguir está a lista oficial de equipamentos ComCashew/GIZ. Todos os itens são necessários para realizar um teste KOR preciso e comercialmente defensável:

Equipamento	Objecto	Especificação
Balança electrónica	Pesar a amostra e todas as categorias do kernel	Precisão 0,5 grama mínimo
Saco de cateter (tubo de amostragem)	Extrair nozes dos sacos durante a amostragem	Metal or rigid plastic probe
Cashew scissors	Cut each nut through its natural seam	Specially designed for shelling RCN
Scooper	Extract kernel from shell after cutting	Adapted screwdriver or local craft item
Plastic buckets	Hold mother sample and sub-samples	One bucket per sub-sample
4 coloured bowls	Sort kernels by category during classification	Green, yellow, blue, red — one per category
Latex gloves	Protect hands from CNSL during cutting	CNSL causes severe chemical burns — mandatory

Safety: Always wear latex gloves during the cutting test. Cashew Nut Shell Liquid (CNSL) contains anacardic acid which causes severe skin irritation and burns on contact with bare skin.

Sampling Procedure — The Mother Sample Method

Accurate KOR calculation depends entirely on representative sampling. A poor sample will give a wrong KOR result regardless of how carefully the formula is applied. The official procedure uses the mother sample and quarter method.

Step 1 — Collect the Mother Sample

Use a catheter bag probe to extract nuts from different bags throughout the lot. Sampling frequency by batch size:

Large batches (30–40 tonnes) — sample 1 in every 10 bags
Small batches (15–20 tonnes) — sample 1 in every 5 bags
Buyer receiving cargo — sample each bag individually; this prevents suppliers from hiding poor-quality bags in the middle of the shipment

Mix all collected nuts on a flat clean surface to create a homogeneous pile — this is the mother sample.

Step 2 — Compose Sub-Samples Using the Quarter Method

Divide the mother sample into 4 equal quarters. Compose two sub-samples from opposite quarters:

Sample 1 = Quarter 1 + Quarter 3
Sample 2 = Quarter 2 + Quarter 4

Each sub-sample is weighed to approximately 1 kg. This is W1, the reference weight for all calculations. W1 should fall between 998g and 1002g.

Witness sample: Keep a 1 kg witness sample separate from both sub-samples. If the test result is disputed, the witness sample can be used for a retest without needing to return to the original lot.

The Official KOR Formula — Complete Variable System

The official ComCashew formula uses five weight variables (W1 through W5). Understanding all five enables you to calculate KOR, defective rate, and nut count from a single sample — the complete quality picture in one test.

Variable Definitions

Var.	Refers To	What It Contains	Bowl
W1	Sample weight	Total weight of the 1 kg sample (998–1002g)	—
W2	Good kernels + testa	Wholesome kernels with inner skin intact — 100% accepted	Green bowl
W3	50%-group kernels + shells	Spotted and premature kernels still inside their shells — weighed combined	Blue (before shelling)
W4	50%-group kernels only	Same spotted and premature kernels after extraction from shells — kernels only	Blue (after shelling)
W5	100%-rejected kernels + shells	Stunted, mouldy, brown, moth-eaten, empty — weighed with shells	Red bowl

The Formulas

Nut Count = N / W1 // N = number of nuts counted before cutting

Useful Kernels (g) = W2 + (W4 / 2) // W4 halved applies the 50% acceptance rate

KOR (lbs/80kg) = Useful Kernels (g) × 0.176 // Factor 0.176 = 80 ÷ 454 — converts g from 1kg sample to lbs per 80kg bag

Defective Rate (%) = (W3 + W5) / W1 × 100 // Quick test — if >24% the batch is typically rejected without proceeding to full KOR

Alternative full formula from ComCashew official documentation:

Out-Turn = % of useful kernels / 100 × 80 × (1 / 0.45359) // Mathematically identical to × 0.176 — makes the unit conversion explicit

Quick Estimate Formula (Planning Only)

Kernel weight (kg) ≈ RCN weight (kg) × 0.22 // Rough estimate only — not for commercial use

Warning: The 0.22 multiplier is a rough estimate that can be 15–25% wrong depending on origin, season, and storage conditions. Always use the full 5-step procedure for commercial procurement decisions.

Official Worked Example — ComCashew Technical Manual

Measurement	Valor	Notas
Good kernels (W2) with testa	264 g	100% accepted
Spotted kernels (W4 portion) ÷ 2	15 ÷ 2 = 7.5 g	50% accepted
Premature kernels (W4 portion) ÷ 2	24 ÷ 2 = 12 g	50% accepted
All useful kernels	264 + 7.5 + 12 = 283.5 g
KOR	283.5 × 0.176 = 49.9 lbs	Standard grade

Kernel Classification — All 7 Defect Categories

Every kernel in the sample must be classified into one of the following categories. This classification determines its contribution to KOR. Correct classification is the most skill-intensive part of the test and requires good lighting and trained inspectors.

100% Accepted — Green Bowl

GOOD KERNELS — 100% ACCEPTEDWholesome, complete kernels with no flaws. Sound, light ivory or cream colour. Testa (inner skin) intact. No spots, marks, discolouration, or damage. Weighed with their testa as W2.

50% Accepted — Blue Bowl

SPOTTED KERNELS — 50% ACCEPTEDReceived insect bites before the shell developed, resulting in at least one black spot or black mark. Parts without spots are consumable. Because only part is affected, 50% is accepted.

PREMATURE KERNELS — 50% ACCEPTEDShriveled, underdeveloped kernels harvested too early. Not fully formed but partially usable. Because part of the kernel is commercially usable, 50% is accepted.

100% Rejected — Red Bowl

Five defect types are 100% rejected. They contribute 0% to KOR and are all counted together as W5 for the defective rate calculation.

STUNTED NUTS	MOULDY KERNELS	BROWN KERNELS	MOTH-EATEN	EMPTY NUTS
Small nuts with underdeveloped kernels. Water stress or tree abortion. Kernel too small to be useful.	White marks from poor drying or humid storage. Fungal growth has affected the kernel. Entirely rejected.	Nut too long on ground after falling. Oily, yellowish throughout. Rancidity makes it unusable.	Eaten by insects. Yellow powder (frass) visible inside cavity. Structurally destroyed.	No kernel inside or only a shriveled fragment. White marks from poor drying. No commercial value.

Classification tip: Good lighting is essential — spotted kernels look like good kernels in poor light. Look for: black marks (spotted), yellowish colour throughout (brown), yellow powder inside (moth-eaten). Train inspectors with reference samples from each defect category.

Cashew KOR Calculator — Know Your Outturn

Enter weights from your 1 kg cutting test to instantly calculate Kernel Outturn Ratio, defective rate, quality grade, and estimated kernel value — everything you need to assess a parcel before you commit.

⚖️ KOR Score (lbs / 80 kg) 🎯 Defective Rate % 🏆 Quality Grade 💰 Est. Kernel Value ⚙️ Machine Recommendation

< 1 min

To get your result

5 inputs

W1 · W2 · W4 · W5 · N

Industry

Standard formula

Free

No login required

How to use: Conduct a standard cutting test on a 1 kg RCN sample. Cut each nut, sort kernels into Good / Spotted & Premature / Rejected, weigh each category, then enter the weights below. See the guide above for the full step-by-step procedure.

① Sample Weight

W1 — Total sample weight (g)

Should be 998–1002 g for a standard test. Default: 1000 g

② Weigh Good Kernels (100% Accepted)

W2 — Good kernels with testa (g) 100% ACCEPTED — Green bowl

Wholesome kernels with no defects. Weigh with inner skin (testa) still attached.

③ Weigh 50% Accepted Kernels (Spotted + Premature)

W4 — Spotted + Premature kernels only (g) 50% ACCEPTED — Blue bowl

Remove these kernels from their shells before weighing. Spotted = black spots. Premature = shriveled / underdeveloped.

④ Weigh Rejected Kernels (100% Rejected)

W5 — All rejected kernels + shells (g) 100% REJECTED — Red bowl

Stunted, mouldy, brown, moth-eaten, and empty nuts. Weigh kernels together WITH their shells.

⑤ Nut Count (Optional)

N — Number of nuts counted in sample

Count all nuts before cutting begins. Used to calculate nut count (nuts/kg) and machine recommendation.

KOR (lbs/80kg) = (W2 + W4/2) × 0.176

Defective Rate (%) = (W3 + W5) / W1 × 100

// Industry Standard — factor 0.176 = 80 ÷ 454

Calculating…

Kernel Outturn Ratio

—

lbs per 80 kg bag

—

Useful Kernel Weight

—

grams from 1 kg sample

Defective Rate

—

Nut Count

—

nuts per kg

Est. Kernel Value

—

USD per 80 kg bag (at ~$3.50/kg kernel)

Defective Rate Scale

0%10% (Low)16%24% (Reject)30%+

Discuss This Result With OUTTURN Design Your Cutting Line →

KOR Grading Scale — What Your Number Means

KOR (lbs/80kg)	Grau	Trade Status	What It Means
Below 40	Poor	Typically rejected	High defect rate — not commercially viable at standard prices
40–43	Below Standard	Deep discount required	Accepted only at significant price reduction
43–47	Acceptable	Standard contract	Commercially traded — typical Nigeria, late-season West Africa
47–50	Good	Full market price	Standard grade for Cote d’Ivoire, Ghana, early-season Nigeria
50–54	Excellent	Premium pricing	Tanzania, Mozambique, Indonesia, Guinea-Bissau peak season
54+	Premium	Price premium + strong demand	Top-tier Indonesia, exceptional Tanzania new crop

Real-world 2026 benchmark: Nigeria early 2026 season KOR trading at 47–49 lbs. Cote d’Ivoire early crop showing lower outturn than previous years. Tanzania and Mozambique remain premium origins. Indonesian RCN consistently exceeds 53 lbs on new crop.

KOR Benchmarks by Origin — 14 Origins

No single source in the cashew industry publishes comprehensive origin-specific KOR benchmarks alongside nut count, size profile, and processing implications. This table consolidates data from procurement records, inspection reports, and African Cashew Alliance documentation:

Origin	Intervalo do KOR	Grau	Nuts/kg	D-Grade %	Season	Processing Note
Indonésia	53–57	Premium	~158	4%	Sept–Feb	Largest nuts, highest WKR, easiest to cut
Vietname	50–54	Excellent	~162	4%	Feb–May	Consistent quality, domestic processing dominant
Tanzânia	51–55	Excellent	~185	8%	Sept–Feb	Premium East Africa, strong whole kernel yield
Moçambique	49–53	Excellent	~190	9%	Oct–Feb	Solid outturn, counter-seasonal supply
Guiné-Bissau	49–53	Excellent	~178	6%	Mar–Jun	Best West Africa for size and KOR
Cambodia	50–54	Excellent	~170	5%	Feb–May	Rapidly growing, large nut profile
Cote d’Ivoire	46–50	Good	~185	7%	Feb–Jun	World’s largest volume, variable quality
Benim	48–52	Good–Excellent	~182	7%	Mar–Jul	Often above-average for West Africa
Gana	47–50	Good	~195	12%	Mar–Jun	Moderate KOR, higher D-grade fraction
Senegal/Gambia	47–51	Good	~183	7%	Apr–Jul	Similar profile to Guinea-Bissau
Burkina Faso	45–49	Acceptable–Good	~195	10%	Mar–Jun	Landlocked logistics add cost
Nigéria	43–49	Acceptable–Good	~220	15%	Mar–Jul	Highest nut count, lowest KOR in West Africa
Índia	46–50	Good	~210	11%	Feb–May	Domestic processing absorbs most crop
Brasil	46–50	Good	~175	8%	Sept–Jan	Counter-seasonal, limited export volume

D-Grade % is the most important column for cutting machine selection. Nigeria’s 15% D-grade fraction requires 3–4× more machine capacity at the D-grade stream than Indonesian or Vietnamese RCN processing the same total volume.

The Four Quality Parameters — Beyond KOR

KOR is the headline number but experienced buyers and processors always assess all four parameters together before making procurement decisions. Reading any single parameter in isolation leads to poor decisions.

1. KOR (Kernel Outturn Ratio)

Covered in full above. The primary commercial benchmark — expressed as lbs per 80 kg bag.

2. Nut Count

The number of nuts per kilogram of RCN, measured by counting the sample before cutting. Expressed as nuts/kg. Combined with KOR, nut count tells you the size of the kernels you will recover — larger kernels command higher prices at every grade.

Nut Count	Nut Size	Trade Premium	Cutting Implication
< 160/kg	Very large (A+ dominant)	Highest premium	Fewer cuts/kg — faster throughput, lowest uncut risk
160–180/kg	Large (A grade)	Premium	Standard high-productivity range
180–210/kg	Medium (B grade)	Standard	Most common commercial range
210–230/kg	Small (C grade)	Discount	More cuts/kg — lower throughput per machine
> 230/kg	Very small (D grade)	Significant discount	Highest uncut rate risk — dedicated machine calibration essential

3. Moisture Content — The Science Behind Whole Kernel Outturn

Moisture content is the most misunderstood quality parameter because its effect on outturn is not linear — it interacts with both nut size and steam exposure time. Getting moisture right is not just a storage concern; it directly determines WKR on your cutting machines.

The moisture ranges and their effects:

Below 6% — kernels become brittle and fragile; breakage rate rises sharply during cutting; shells do not split cleanly even with correct blade gap
7–10% — optimal range; shells split cleanly at the seam, kernels remain elastic and absorb blade contact without shattering
Above 10% — risk of mould growth during storage and sea transit; shells may compress rather than split, leading to kernel bruising
Above 12% — significant quality risk; cargo may be rejected by inspection agencies; cutting performance severely compromised

Scientific finding: Research published in the Journal of the Saudi Society of Agricultural Sciences confirms that whole kernel outturn during shelling is maximised at moisture contents of 8.34% for large and small nuts (combined with 30 min and 28 min steam respectively) and 11.80% for medium nuts (combined with 32 min steam) at 700 kPa. The single most important finding: neither moisture alone nor steam time alone determines WKO. It is always an interaction of moisture × nut size × steam time. Optimising only one factor without the others produces suboptimal results.

Nut Size	Optimal Moisture	Optimal Steam Time	Pressure
Large nuts (26–35mm)	8.34% wet basis	30 minutes	700 kPa
Medium nuts (23–25mm)	11.80% wet basis	32 minutes	700 kPa
Small nuts (< 23mm)	8.34% wet basis	28 minutes	700 kPa

Practical implication: when processing Nigerian origin RCN (high D-grade = many small nuts), steam time should be 28–30 minutes. When processing Indonesian RCN (A+ dominant), 30–32 minutes is optimal. Applying a single steam time across all origins is one of the most common causes of avoidable WKR loss in African processing factories.

4. Total Defective Rate

The percentage of nuts in the sample that are defective: bad/rotten, void, insect-damaged, mouldy, or severely premature. Faster to calculate than KOR — gives a first impression of cargo quality before the full cutting test is performed.

Under 10% — low defect rate; standard commercial grade
10–16% — acceptable; some buyers negotiate a price adjustment
16–24% — below grade; significant discount or blending required
Over 24% — typically rejected by major processors; batch commercially compromised

How Your Cutting Machine Determines Your Outturn

This is the section that exists nowhere else in the cashew industry’s published resources. Every guide covers KOR as a procurement metric — what you buy. Nobody covers KOR as a production metric — what your machine creates from what you bought. OUTTURN cutting machines are designed around one principle: maximise whole kernel recovery from every size grade of RCN, across every origin, on every shift.

The Three Machine Factors That Control Whole Kernel Recovery

Factor 1 — Blade Gap Calibration Per Grade

The cutting blade must be set to a gap that precisely matches the diameter of the nut being processed. Too wide: the blade fails to cut cleanly through the shell — high uncut rate. Too narrow: the blade compresses the kernel before the shell opens — kernel damage and breakage.

Grau	Nut Diameter	Blade Gap	Uncalibrated Result	OUTTURN Approach
A+	26–35 mm	Widest setting	Smaller grades crushed	Dedicated 2-head machine
A	23–25 mm	Wide setting	C/D grades damaged	Dedicated 4-head machine
B	20–22 mm	Medium setting	D-grade uncut	Dedicated 6-head machine
C	18–19 mm	Narrow setting	Shell fragments in kernel	Dedicated 8-head machine
D	< 18 mm	Narrowest setting	High breakage rate	Dedicated 4-head machine

Factor 2 — Per-Grade Machine Dedication

Running mixed-size grades through a single machine is the single biggest cause of poor WKR in cashew factories. A machine calibrated for B-grade will shatter D-grade nuts and under-cut A+ grade nuts in the same stream. This is the exact same logic the KOR cutting test applies: each kernel category is sorted and weighed separately — because mixing them produces meaningless results. Your cutting line must apply the same discipline.

OUTTURN machines are deployed one configuration per grade — never mixed. The cutting line design assigns a dedicated machine to each grade stream, sized to that grade’s throughput share. This is why OUTTURN machines consistently achieve 72–77% whole kernel recovery where poorly configured lines achieve 55–65%.

The grade isolation principle: Pre-sort RCN by size grade BEFORE the cutting stage. Each grade (A+, A, B, C, D) runs on its own dedicated machine calibrated to the correct blade gap for that nut diameter. This is non-negotiable for premium whole kernel output.

Factor 3 — Horizontal Rotary vs Vertical Piston Mechanism

OUTTURN machines use a horizontal rotary cutting mechanism — the nut is placed in a cup, the cup rotates continuously into the blade plane, the blade splits the shell, and the nut is discharged. The cycle repeats without direction reversal. This contrasts with vertical piston machines (the dominant design from India) where a blade strikes downward and then reverses direction on every stroke.

Performance Factor	Horizontal Rotary (OUTTURN — Vietnam design)	Vertical Piston (India design)
Cutting mechanism	Continuous rotary cycle — no direction reversal	Reciprocating — reverses direction on every stroke
Throughput per kW	Higher — motor continuously in motion	Lower — direction reversal wastes energy
D-grade uncut rate	5–8% — cups seat small nuts consistently	12–18% — small nuts shift in the guide during reversal
D-grade breakage	Low — consistent blade contact angle	High — reversal impact damages small fragile kernels
A+ grade handling	Excellent — gap adjusts cleanly for large nuts	Variable — piston speed affects cut quality on large nuts
Blade change time	< 5 minutes	10–20 minutes
CNSL resistance	Full CNSL-resistant design throughout	Varies by manufacturer
Energy per 100kg	Lowest in class — 0.75 kW all configurations	Higher motor load per equivalent throughput
Best for	All origins — especially West Africa high D-grade	Large uniform nuts — Vietnam, Indonesia domestic

The horizontal rotary advantage is most pronounced on Nigerian and Ghanaian origin nuts — the origins with the highest D-grade fraction. This is precisely where the rotary mechanism’s consistent cup seating of small nuts delivers its greatest commercial impact. On D-grade nuts, the piston’s reversal stroke creates a second impact on the already-opened nut, causing breakage that the rotary design avoids entirely.

OUTTURN Whole Kernel Recovery Performance by Origin

The table below shows WKR rates achieved by OUTTURN cutting machines under correctly calibrated per-grade conditions, compared to industry average:

Origem do NCR	OUTTURN WKR	Industry Avg WKR	OUTTURN Advantage	Key Differentiating Factor
Indonésia	76–77%	68–72%	+5–8%	Largest nuts, most uniform size profile
Vietname	75–77%	70–74%	+3–5%	Consistent size across batches
Tanzânia	74–76%	67–71%	+5–7%	Good A/B grade uniformity
Guiné-Bissau	73–76%	66–70%	+5–8%	Very low D-grade fraction
Cote d’Ivoire	71–74%	64–68%	+5–7%	Variable origin quality managed by per-grade isolation
Gana	70–73%	62–67%	+6–8%	High D-grade — rotary mechanism critical
Nigéria	70–73%	60–65%	+8–10%	Highest D-grade — biggest machine impact of all origins
Índia	72–75%	66–70%	+5–7%	Mixed size profile — grade isolation essential

Outturn From Three Perspectives

The same metric means different things depending on where you sit in the cashew supply chain. Here is how to read outturn data for your specific role.

If You Are a Farmer or Cooperative

Your outturn determines your negotiating position. Buyers test your cargo with the cutting test before setting the price. A KOR above 48 lbs puts you in the standard commercial range. Above 50 lbs gives you leverage for a premium. Below 43 lbs and you face rejection or heavy discounting.

What you can control:

Harvest timing — harvest fully ripe nuts only; premature nuts reduce KOR by 3–8 lbs
Drying — sun-dry for 4 days to reach 7–10% moisture; wet nuts show lower KOR on the cutting test
Storage — use jute bags only; maintain dry conditions; check every 2 weeks for mould
Nut count — report nut count honestly; buyers who receive smaller nuts than stated lose trust permanently
Learn the test — if you know your KOR before the buyer tests, you negotiate from knowledge, not hope

If You Are a Trader or Importer

KOR is your risk management tool. Every lb difference changes your processing economics and the kernel value you deliver to your processor buyer.

A 1 lb difference in KOR from a 100-tonne cargo at $3.50/lb kernel price:

100 tonnes ÷ 0.08 kg/bag × 1 lb × $3.50 = ~$4,375 value difference per lb of KOR

Always conduct your own cutting test on every consignment before shipment — never rely solely on the seller’s stated KOR. Request the full W1–W5 weighting sheet, not just the final number — it reveals the composition of the batch (high W5 means high defects; high W4 means spotted cargo). Use independent agencies (SGS, Vinocontrol, RBS) for transactions above 50 tonnes.

If You Are a Factory Operator or Processor

You manage two outturn numbers simultaneously: the RCN KOR (what you bought) and the WKR (what your machine delivers). Your profitability sits in the gap between the two.

Every percentage point of WKR improvement on a 5-ton/day factory:

5,000 kg/day × 0.22 recovery × 0.01 WKR gain × $3.50/kg kernel × 250 days = $9,625/year

A 5% WKR improvement on a mid-size factory is worth $40,000–$50,000 in annual revenue. This is why correct cutting machine selection, per-grade dedication, moisture management, and blade calibration are not operational preferences — they are financial decisions.

OUTTURN machine design target: Achieve 77% whole kernel recovery on well-graded, properly steamed RCN across all major origins. This is the benchmark every machine leaves our Binh Phuoc factory tested against — WKR result documented and shipped with the machine.

How to Improve Your Cashew Outturn — Practical Steps

Improving RCN KOR — For Procurement

Source from premium origins first: Tanzania, Indonesia, Guinea-Bissau for KOR above 50
Buy early in the season: new crop nuts consistently show 2–5 lbs higher KOR than late-season
Require full W1–W5 cutting test certificates from independent labs for every consignment above 20 tonnes
Specify moisture at origin: maximum 9% at loading — test with calibrated moisture meters
Avoid blended-origin shipments: mixed profiles make cutting machine calibration impossible

Improving Factory WKR — For Processing

Grade RCN by size before cutting — never run mixed grades through a single machine
Calibrate blade gap for each grade at the start of every shift — especially after origin changeover
Optimise steam time per nut size: 28 min for small, 30 min for large, 32 min for medium — at 700 kPa
Maintain moisture at 8–10% going into the cutting stage — check with moisture meter before each batch
Replace carbide-tipped blades on schedule: measurable WKR decline after 200–300 hours on abrasive African origins
Monitor WKR shift by shift: weigh whole kernels out vs RCN in; calculate and log daily — trends reveal problems early
Use OUTTURN’s Cutting Machine Design Calculator to size your line correctly per grade and per origin

Frequently Asked Questions

What is a good KOR for cashew nuts?

47–50 lbs per 80 kg bag is considered good and commands full commercial prices. 50–54 lbs is excellent and attracts a price premium. Below 43 lbs is poor and likely to be rejected or heavily discounted. The benchmark varies by origin — Indonesian and Tanzanian nuts regularly exceed 53 lbs, while Nigerian nuts typically range 43–49 lbs.

What is the difference between KOR and whole kernel recovery?

KOR measures the quality of raw cashew nuts going into your factory — expressed as lbs of usable kernel per 80 kg bag from a laboratory cutting test. Whole Kernel Recovery (WKR) measures what your cutting machine actually delivers — the percentage of whole, undamaged kernels recovered from the shelled nuts. A high-KOR cargo on a poorly calibrated machine can still produce poor WKR. Managing both numbers is essential for factory profitability.

Why do OUTTURN machines deliver higher whole kernel recovery?

OUTTURN machines use a horizontal rotary cutting mechanism that processes nuts in a continuous cycle without direction reversal — delivering consistent blade contact with each nut. The key design principle is per-grade machine dedication: each size grade (A+, A, B, C, D) runs on its own dedicated machine calibrated to the correct blade gap for that nut diameter. This eliminates the breakage caused by mixed-grade streams, which is the primary cause of poor WKR in cashew factories. On Nigerian and Ghanaian nuts — the most challenging for D-grade breakage — OUTTURN machines deliver 8–10% higher WKR than industry average. The rotary mechanism avoids the second reversal impact that piston designs inflict on already-opened nuts.

How do I calculate KOR from a cutting test sample?

Collect a 1 kg mother sample using the quarter method. Cut each nut through its natural seam using cashew scissors (wear gloves — CNSL burns). Classify: Good kernels (W2, 100% accepted), Spotted + Premature kernels + shells (W3), then extract those kernels and weigh them alone (W4, 50% accepted), and all rejected kernels + shells (W5). Formula: KOR = (W2 + W4/2) × 0.176. The result is KOR in lbs per 80 kg bag.

What moisture content gives the best whole kernel outturn?

Scientific research shows optimal WKR at 8.34% moisture for large nuts (steam 30 min) and small nuts (steam 28 min), and 11.80% for medium nuts (steam 32 min) at 700 kPa. The critical finding is that moisture and steam time interact — optimising one without the other produces suboptimal results. For most African origins (mixed sizes), maintain 7–10% moisture and 28–32 minutes steam time for consistently high WKR.

Does origin affect how I should set up my cutting machine?

Significantly. Indonesian nuts have ~158/kg and only 4% D-grade — the D-grade machine is a small 2-head unit. Nigerian nuts have ~220/kg and 15% D-grade — the D-grade stream needs 3–4× more machine capacity for the same total throughput. Steam time also differs by origin because nut size profiles differ. Always design your cutting line using the specific origin’s size profile, not a generic average. OUTTURN’s Design Calculator uses real origin-specific distributions for 14 origins to output a correct per-grade machine recommendation.

How often should cashew cutting blades be changed?

Carbide-tipped blades show measurable WKR decline after 200–300 hours on abrasive African origins (Nigeria, Ghana). On Indonesian or Vietnamese nuts (softer shells, lower CNSL content), blades last 300–400 hours. Field test: if WKR drops more than 2 percentage points on a normally consistent batch, inspect blade sharpness before investigating other causes. OUTTURN supplies all blade configurations from factory stock — standard orders dispatch within 48 hours from Binh Phuoc.

More Cashew Processing Resources

Cashew Outturn Calculation Formula (step-by-step methodology) → cashew-machine.org
Cashew Calculator (interactive quality assessment tool for RCN sampling) → cashewplus.com
How to Design a Cashew Cutting Line (7-step guide) → cashew-technology.com/how-to-design-a-cashew-cutting-line/
OUTTURN Cutting Machine Range (2-head to 12-head) → cashew-technology.com/
Cutting Machine Design Calculator → cashew-technology.com (homepage)

Get a cutting line recommendation: Tell OUTTURN your daily RCN volume, origin, and shift hours. We recommend the correct machine configuration per grade — free, with factory-direct pricing. WhatsApp: +84 979 378 602

Official KOR methodology source: The W1–W5 variable system and sampling procedure in this guide follow the ComCashew/GIZ Technical Manual ‘How to Estimate the Quality of Raw Cashew Nuts (RCN)’ — the international standard used by inspection agencies and commodity boards worldwide.