How to Calculate Corn Yield

How to Calculate Corn Yield: The Ultimate Guide & Calculator :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } h1, h2, h3 { color: var(–primary-color); } h2 { border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; margin-top: 30px; } .calculator-section { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .loan-calc-container { display: flex; flex-direction: column; gap: 20px; } .input-group { display: flex; flex-direction: column; gap: 8px; } .input-group label { font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { padding: 12px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group input:focus, .input-group select:focus { outline: none; border-color: var(–primary-color); box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #666; } .error-message { color: red; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; gap: 10px; margin-top: 20px; flex-wrap: wrap; } button { padding: 12px 20px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; transition: background-color 0.3s ease; font-weight: bold; } .btn-primary { background-color: var(–primary-color); color: white; } .btn-primary:hover { background-color: #003366; } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; } .btn-success { background-color: var(–success-color); color: white; } .btn-success:hover { background-color: #218838; } #results { margin-top: 30px; padding: 25px; background-color: #e9ecef; border-radius: 8px; border: 1px solid #ced4da; } #results h3 { margin-top: 0; color: var(–primary-color); } .result-item { margin-bottom: 15px; font-size: 1.1em; } .result-item strong { color: var(–primary-color); display: inline-block; min-width: 250px; /* Adjust as needed for alignment */ } .primary-result { font-size: 1.8em; font-weight: bold; color: var(–success-color); background-color: rgba(40, 167, 69, 0.1); padding: 15px; border-radius: 5px; text-align: center; margin-bottom: 20px; } .formula-explanation { font-size: 0.95em; color: #555; margin-top: 15px; padding: 10px; background-color: #f0f0f0; border-left: 4px solid var(–primary-color); } table { width: 100%; border-collapse: collapse; margin-top: 20px; box-shadow: var(–shadow); } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–border-color); } thead { background-color: var(–primary-color); color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; text-align: left; } canvas { margin-top: 20px; width: 100% !important; /* Ensure canvas scales */ height: auto !important; border: 1px solid var(–border-color); border-radius: 5px; } .chart-container { position: relative; width: 100%; margin-top: 20px; } .chart-caption { font-size: 0.9em; color: #666; text-align: center; margin-top: 5px; } .article-content { margin-top: 40px; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; } .article-content li { margin-bottom: 8px; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid var(–primary-color); background-color: #fefefe; } .faq-item strong { display: block; color: var(–primary-color); margin-bottom: 5px; } .related-links ul { list-style: none; padding: 0; } .related-links li { margin-bottom: 10px; } .related-links a { font-weight: bold; } .related-links span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } @media (min-width: 768px) { .loan-calc-container { flex-direction: column; } .input-group { flex-direction: column; } .button-group { justify-content: flex-start; } }

Corn Yield Calculator

Estimate Your Farm's Corn Production Accurately

Corn Yield Calculator

Enter the total area of the field in acres.
Typical number of corn plants in one acre.
Average number of ears on each corn plant.
Average number of kernels on each corn ear.
Average weight of a single corn kernel in grams.

Calculation Results

Total Ears:
Total Kernels:
Total Weight (Lbs):
Yield (Bushels/Acre):
Formula Used:

1. Total Ears = Field Area (Acres) * Plants Per Acre
2. Total Kernels = Total Ears * Kernels Per Ear
3. Total Weight (Grams) = Total Kernels * Weight Per Kernel (Grams)
4. Total Weight (Lbs) = Total Weight (Grams) / 453.592 (Grams per Pound)
5. Yield (Bushels/Acre) = (Total Weight (Lbs) / 56) / Field Area (Acres) (Assuming 56 lbs/bushel for corn)

Corn Yield Components Over Time
Visualizing the relationship between key yield factors.
Corn Yield Input Summary
Parameter Value Unit
Field Area Acres
Plants Per Acre Plants/Acre
Ears Per Plant Ears/Plant
Kernels Per Ear Kernels/Ear
Weight Per Kernel Grams

How to Calculate Corn Yield: The Ultimate Guide & Calculator

{primary_keyword} is a critical metric for farmers, agronomists, and anyone involved in the agricultural sector. Understanding how to calculate corn yield accurately allows for better farm management, financial planning, and yield optimization strategies. This guide provides a comprehensive overview of corn yield calculation, its importance, and practical applications, complemented by an interactive calculator to simplify the process.

What is Corn Yield?

Corn yield refers to the amount of harvested corn grain produced per unit of land area. It is typically measured in bushels per acre (bpa) in the United States, or in metric tons per hectare (t/ha) in other parts of the world. High corn yield is a primary goal for farmers as it directly impacts profitability and the overall success of a farming operation. It's a complex outcome influenced by numerous biological, environmental, and management factors.

Who should use it?

  • Farmers: To assess the productivity of their fields, compare different management practices, and forecast harvest volumes.
  • Agronomists: To evaluate the effectiveness of fertilizers, pest control, and crop rotation strategies.
  • Agricultural Researchers: To analyze experimental results and develop new farming techniques.
  • Commodity Traders and Analysts: To estimate market supply and predict price trends.
  • Landowners: To understand the potential return on investment for agricultural land.

Common Misconceptions:

  • Yield is solely determined by genetics: While genetics play a role, environmental conditions and management practices are equally, if not more, important.
  • Higher plant population always means higher yield: There's an optimal plant population; exceeding it can lead to competition for resources, reducing individual plant performance and potentially lowering overall yield.
  • Yield is a simple count: It's a complex calculation involving plant density, ear development, kernel count, and kernel weight, all influenced by numerous variables.

Corn Yield Formula and Mathematical Explanation

Calculating corn yield involves several steps, starting from the basic field measurements and plant characteristics to arrive at the final output in bushels per acre. The core idea is to estimate the total amount of grain produced and then normalize it to a standard unit of area.

The process can be broken down as follows:

  1. Calculate Total Plants: Multiply the field area by the number of plants per acre.
  2. Calculate Total Ears: Multiply the total number of plants by the average number of ears per plant.
  3. Calculate Total Kernels: Multiply the total number of ears by the average number of kernels per ear.
  4. Calculate Total Grain Weight (Grams): Multiply the total number of kernels by the average weight of a single kernel in grams.
  5. Convert to Pounds: Divide the total weight in grams by the conversion factor (453.592 grams per pound).
  6. Convert to Bushels: Divide the total weight in pounds by the standard weight of a bushel of corn (typically 56 pounds).
  7. Calculate Yield per Acre: Divide the total yield in bushels by the total field area in acres.

Variables Explained:

Corn Yield Calculation Variables
Variable Meaning Unit Typical Range
Field Area The size of the land being harvested. Acres 0.1 – 1000+
Plants Per Acre The number of corn plants established per acre. Plants/Acre 25,000 – 38,000
Ears Per Plant The average number of harvestable ears produced by each plant. Ears/Plant 1.0 – 2.0 (often close to 1.0)
Kernels Per Ear The average number of kernels on a single corn ear. Kernels/Ear 500 – 1000+
Weight Per Kernel (Grams) The average weight of a single corn kernel. This is a key indicator of kernel fill and density. Grams 0.0002 – 0.0005
Total Ears The total estimated number of ears in the field. Ears Calculated
Total Kernels The total estimated number of kernels in the field. Kernels Calculated
Total Weight (Lbs) The total estimated weight of the harvested corn grain in pounds. Pounds (Lbs) Calculated
Yield (Bushels/Acre) The final measure of corn production per unit area. Bushels/Acre (bpa) 50 – 300+

The standard weight for a bushel of corn is 56 pounds. This conversion is crucial for reporting yield in industry-standard terms. Accurate measurement of these variables, especially kernel weight and count, is vital for a reliable {primary_keyword} calculation.

Practical Examples (Real-World Use Cases)

Let's illustrate how to calculate corn yield with two practical scenarios:

Example 1: A Small Test Plot

A researcher is evaluating a new hybrid on a small test plot.

  • Field Area: 0.5 Acres
  • Plants Per Acre: 32,000
  • Ears Per Plant: 1.6
  • Kernels Per Ear: 800
  • Weight Per Kernel (Grams): 0.00035

Calculation:

  1. Total Plants = 0.5 acres * 32,000 plants/acre = 16,000 plants
  2. Total Ears = 16,000 plants * 1.6 ears/plant = 25,600 ears
  3. Total Kernels = 25,600 ears * 800 kernels/ear = 20,480,000 kernels
  4. Total Weight (Grams) = 20,480,000 kernels * 0.00035 g/kernel = 7,168,000 grams
  5. Total Weight (Lbs) = 7,168,000 g / 453.592 g/lb ≈ 15,800 lbs
  6. Total Bushels = 15,800 lbs / 56 lbs/bushel ≈ 282.1 bushels
  7. Yield (Bushels/Acre) = 282.1 bushels / 0.5 acres ≈ 564.2 bpa

Interpretation: This exceptionally high yield suggests the new hybrid performed very well under the tested conditions, or that the input parameters were set at their maximum potential. This result would be exciting for the researcher.

Example 2: A Commercial Farm Field

A farmer wants to estimate the yield from a typical field.

  • Field Area: 120 Acres
  • Plants Per Acre: 30,000
  • Ears Per Plant: 1.2
  • Kernels Per Ear: 650
  • Weight Per Kernel (Grams): 0.00028

Calculation:

  1. Total Plants = 120 acres * 30,000 plants/acre = 3,600,000 plants
  2. Total Ears = 3,600,000 plants * 1.2 ears/plant = 4,320,000 ears
  3. Total Kernels = 4,320,000 ears * 650 kernels/ear = 2,808,000,000 kernels
  4. Total Weight (Grams) = 2,808,000,000 kernels * 0.00028 g/kernel = 786,240,000 grams
  5. Total Weight (Lbs) = 786,240,000 g / 453.592 g/lb ≈ 1,733,300 lbs
  6. Total Bushels = 1,733,300 lbs / 56 lbs/bushel ≈ 30,951.8 bushels
  7. Yield (Bushels/Acre) = 30,951.8 bushels / 120 acres ≈ 257.9 bpa

Interpretation: A yield of approximately 258 bpa is a very strong result for a commercial farm, indicating excellent crop health and favorable growing conditions. This estimate helps the farmer in planning storage, marketing, and future planting decisions.

How to Use This Corn Yield Calculator

Our interactive {primary_keyword} calculator is designed for ease of use and accuracy. Follow these simple steps:

  1. Input Field Area: Enter the size of your field in acres.
  2. Enter Plant Density: Input the estimated number of corn plants per acre.
  3. Estimate Ears Per Plant: Provide the average number of ears you expect each plant to produce. This is often close to 1.
  4. Estimate Kernels Per Ear: Enter the average number of kernels found on a typical ear of corn.
  5. Input Kernel Weight: Specify the average weight of a single kernel in grams. This is a crucial factor reflecting kernel fill.
  6. Click 'Calculate Yield': The calculator will instantly process your inputs.

How to Read Results:

  • Primary Result (Yield Bushels/Acre): This is your main output, showing the estimated yield in the standard industry measurement.
  • Intermediate Values: Total Ears, Total Kernels, and Total Weight (Lbs) provide a breakdown of the calculation, helping you understand the contributing factors.
  • Summary Table: This table reiterates your input values for easy reference.
  • Chart: The dynamic chart visualizes the relationship between your inputs and the resulting yield components.

Decision-Making Guidance: Compare the calculated yield against historical averages, regional benchmarks, and your farm's goals. If the yield is lower than expected, consider the factors discussed below to identify potential areas for improvement in the next growing season. Use the 'Copy Results' button to save or share your findings.

Key Factors That Affect Corn Yield Results

Several factors significantly influence the actual {primary_keyword} achieved in a field. Understanding these can help in refining your inputs for the calculator and improving your farming practices:

  1. Weather Conditions: Rainfall, temperature, sunlight, and extreme weather events (drought, frost, hail) are paramount. Insufficient water or excessive heat during critical growth stages can drastically reduce kernel development and overall yield.
  2. Soil Health and Fertility: Nutrient availability (Nitrogen, Phosphorus, Potassium, etc.), soil pH, organic matter content, and soil structure directly impact plant growth and kernel production. Proper fertilization is key. Consider using a soil testing service to understand your nutrient levels.
  3. Pest and Disease Pressure: Insects (like corn rootworm or European corn borer) and diseases (like gray leaf spot or common rust) can damage the plant, reduce photosynthesis, and hinder kernel development, thereby lowering yield. Effective pest management strategies are essential.
  4. Weed Competition: Weeds compete with corn plants for sunlight, water, and nutrients. Early and effective weed control is critical, especially during the first 4-6 weeks after emergence.
  5. Hybrid Genetics: Different corn hybrids have varying yield potentials, disease resistance, and adaptability to specific environments. Choosing the right hybrid for your conditions is a fundamental decision.
  6. Planting Date and Practices: Optimal planting dates ensure the crop reaches maturity under favorable conditions. Planting depth, seed-to-soil contact, and row spacing also influence plant establishment and uniformity.
  7. Management Practices: Crop rotation, tillage methods, irrigation, and timely application of inputs all contribute to the final yield. Implementing best practices can significantly boost your farm's output.
  8. Grain Moisture Content: While not directly part of the yield calculation formula itself, the moisture content at harvest affects the *test weight* (lbs/bushel). Yields are often reported at a standard moisture content (e.g., 15.5%), and adjustments are made for deviations.

Frequently Asked Questions (FAQ)

Q1: What is the difference between estimated yield and actual harvested yield?

Estimated yield, like that from a calculator, is based on averages and specific inputs. Actual harvested yield is the precise amount measured after combining and accounting for moisture content and dockage.

Q2: How accurate is the corn yield calculator?

The calculator's accuracy depends entirely on the accuracy of the input values. Using precise measurements from your field (e.g., from scouting or sample counts) will yield more accurate results than using broad estimates.

Q3: What is a "bushel" of corn?

A bushel is a unit of volume traditionally used for dry goods. For corn in the US, a standard bushel is defined as 56 pounds of shelled corn at 15.5% moisture content.

Q4: Why is "Ears Per Plant" often close to 1?

While corn plants can produce multiple ears, under typical commercial farming conditions with high plant populations, the plant often focuses its resources on developing just one dominant, well-filled ear to maximize its chances of successful reproduction.

Q5: How can I get accurate "Kernels Per Ear" and "Weight Per Kernel" data?

These are best determined by manually sampling several representative ears from your field after pollination and counting the kernels, then weighing a subset of those kernels (e.g., 100 or 1000) and calculating the average. This requires field scouting.

Q6: Does the calculator account for lodging or dropped ears?

No, the calculator assumes all plants produce harvestable ears. Lodging (plants falling over) or dropped ears would reduce the actual harvested yield compared to the calculated estimate.

Q7: How does moisture content affect yield reporting?

Corn is typically sold at 15.5% moisture. If harvested wetter, the weight includes more water, so the yield needs to be adjusted down to the standard 15.5% moisture basis. If harvested drier, the weight is adjusted up. Our calculator assumes the kernel weight input reflects the dry matter, and the final bushel calculation uses the standard 56 lbs/bushel definition.

Q8: Can I use this calculator for other grains?

While the principle of yield calculation is similar, the specific units (e.g., weight per bushel for wheat or soybeans) and typical ranges for factors like kernels per ear differ significantly. This calculator is specifically designed for corn.

Related Tools and Internal Resources

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Maximum ' + maxValue + ' ' + unit + '.'; errorElement.style.display = 'block'; inputElement.style.borderColor = 'red'; isValid = false; } return isValid; } function calculateYield() { var areaAcres = parseFloat(areaAcresInput.value); var plantsPerAcre = parseFloat(plantsPerAcreInput.value); var earsPerPlant = parseFloat(earsPerPlantInput.value); var kernelsPerEar = parseFloat(kernelsPerEarInput.value); var weightPerKernelGrams = parseFloat(weightPerKernelGramsInput.value); var allValid = true; allValid = validateInput(areaAcresInput, areaAcresError, 0.1, 10000, 'Acres') && allValid; allValid = validateInput(plantsPerAcreInput, plantsPerAcreError, 1000, 50000, 'Plants/Acre') && allValid; allValid = validateInput(earsPerPlantInput, earsPerPlantError, 0.5, 3, 'Ears/Plant') && allValid; allValid = validateInput(kernelsPerEarInput, kernelsPerEarError, 100, 1500, 'Kernels/Ear') && allValid; allValid = validateInput(weightPerKernelGramsInput, weightPerKernelGramsError, 0.0001, 0.001, 'Grams') && allValid; if (!allValid) { primaryResultDiv.textContent = 'Invalid Input'; primaryResultDiv.style.color = 'red'; totalEarsSpan.textContent = '–'; totalKernelsSpan.textContent = '–'; totalWeightLbsSpan.textContent = '–'; yieldPerAcreSpan.textContent = '–'; updateSummaryTable('–', '–', '–', '–', '–'); updateChart([], [], [], []); return; } var totalEars = areaAcres * plantsPerAcre * earsPerPlant; var totalKernels = totalEars * kernelsPerEar; var totalWeightGrams = totalKernels * weightPerKernelGrams; var totalWeightLbs = totalWeightGrams / 453.592; var totalBushels = totalWeightLbs / 56; var yieldPerAcre = totalBushels / areaAcres; primaryResultDiv.textContent = yieldPerAcre.toFixed(2) + ' Bushels/Acre'; primaryResultDiv.style.color = 'var(–success-color)'; totalEarsSpan.textContent = Math.round(totalEars).toLocaleString(); totalKernelsSpan.textContent = Math.round(totalKernels).toLocaleString(); totalWeightLbsSpan.textContent = totalWeightLbs.toFixed(2); yieldPerAcreSpan.textContent = yieldPerAcre.toFixed(2); updateSummaryTable(areaAcres, plantsPerAcre, earsPerPlant, kernelsPerEar, weightPerKernelGrams); updateChart([areaAcres, plantsPerAcre, earsPerPlant, kernelsPerEar, weightPerKernelGrams], [totalEars, totalKernels, totalWeightLbs, yieldPerAcre], ['Input Area', 'Input Plants/Acre', 'Input Ears/Plant', 'Input Kernels/Ear', 'Input Kernel Weight (g)'], ['Calculated Total Ears', 'Calculated Total Kernels', 'Calculated Total Weight (Lbs)', 'Calculated Yield (bpa)']); } function updateSummaryTable(area, plants, ears, kernels, weight) { summaryArea.textContent = area === '–' ? '–' : area.toLocaleString(); summaryPlantsPerAcre.textContent = plants === '–' ? '–' : plants.toLocaleString(); summaryEarsPerPlant.textContent = ears === '–' ? '–' : ears.toLocaleString(); summaryKernelsPerEar.textContent = kernels === '–' ? '–' : kernels.toLocaleString(); summaryWeightPerKernel.textContent = weight === '–' ? '–' : weight.toFixed(6); } function resetCalculator() { areaAcresInput.value = 10; plantsPerAcreInput.value = 30000; earsPerPlantInput.value = 1.5; kernelsPerEarInput.value = 750; weightPerKernelGramsInput.value = 0.0003; areaAcresError.style.display = 'none'; plantsPerAcreError.style.display = 'none'; earsPerPlantError.style.display = 'none'; kernelsPerEarError.style.display = 'none'; weightPerKernelGramsError.style.display = 'none'; areaAcresInput.style.borderColor = '#ddd'; plantsPerAcreInput.style.borderColor = '#ddd'; earsPerPlantInput.style.borderColor = '#ddd'; kernelsPerEarInput.style.borderColor = '#ddd'; weightPerKernelGramsInput.style.borderColor = '#ddd'; calculateYield(); } function copyResults() { var resultsText = "Corn Yield Calculation Results:\n\n"; resultsText += "Primary Yield: " + primaryResultDiv.textContent + "\n"; resultsText += "Total Ears: " + totalEarsSpan.textContent + "\n"; resultsText += "Total Kernels: " + totalKernelsSpan.textContent + "\n"; resultsText += "Total Weight (Lbs): " + totalWeightLbsSpan.textContent + "\n"; resultsText += "Yield (Bushels/Acre): " + yieldPerAcreSpan.textContent + "\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "Field Area: " + summaryArea.textContent + " Acres\n"; resultsText += "Plants Per Acre: " + summaryPlantsPerAcre.textContent + "\n"; resultsText += "Ears Per Plant: " + summaryEarsPerPlant.textContent + "\n"; resultsText += "Kernels Per Ear: " + summaryKernelsPerEar.textContent + "\n"; resultsText += "Weight Per Kernel: " + summaryWeightPerKernel.textContent + " Grams\n"; var textArea = document.createElement("textarea"); textArea.value = resultsText; document.body.appendChild(textArea); textArea.select(); try { document.execCommand('copy'); alert('Results copied to clipboard!'); } catch (err) { console.error('Unable to copy results: ', err); alert('Failed to copy results. Please copy manually.'); } textArea.remove(); } function initializeChart() { var ctx = document.getElementById('yieldChart').getContext('2d'); chart = new Chart(ctx, { type: 'bar', // Changed to bar for better comparison of inputs vs outputs data: { labels: [], // Will be updated datasets: [{ label: 'Input Values', data: [], // Will be updated backgroundColor: 'rgba(0, 74, 153, 0.6)', borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, type: 'line' // Display inputs as a line for context }, { label: 'Calculated Outputs', data: [], // Will be updated backgroundColor: 'rgba(40, 167, 69, 0.6)', borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value / Quantity' } }, x: { title: { display: true, text: 'Metric' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toLocaleString(); } return label; } } } } } }); } function updateChart(inputValues, outputValues, inputLabels, outputLabels) { if (!chart) { initializeChart(); } var allLabels = inputLabels.concat(outputLabels); var allData = inputValues.concat(outputValues); // Separate input and output data for datasets var inputDataForChart = []; var outputDataForChart = []; var chartLabels = []; // Assign inputs to the first dataset and outputs to the second inputLabels.forEach(function(label, index) { inputDataForChart.push(inputValues[index]); chartLabels.push(label); }); outputLabels.forEach(function(label, index) { outputDataForChart.push(outputValues[index]); chartLabels.push(label); }); chart.data.labels = chartLabels; chart.data.datasets[0].data = inputDataForChart; // Inputs chart.data.datasets[1].data = outputDataForChart; // Outputs // Adjust y-axis scale if necessary, especially for large differences var allValues = inputDataForChart.concat(outputDataForChart); if (allValues.length > 0 && Math.max(…allValues) > 0) { chart.options.scales.y.max = Math.max(…allValues) * 1.2; // Add some buffer } else { chart.options.scales.y.max = 100; // Default max if no data or all zeros } chart.update(); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateYield(); // Add event listeners for real-time updates var inputs = document.querySelectorAll('.loan-calc-container input'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateYield); } });

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