Yield Estimation for Pasture Management
Accurate Yield Estimation for Better Planning
Farmdeck’s Yield Estimation methodologies predict the potential outcome of your crops by analysing crop health, soil quality, weather conditions and water availability.
Prediction models
Farmdeck’s Yield Estimation using NDVI, NDRE, historical readings, and external factors involves integrating diverse data sources through machine learning models.
Simple models like linear regression can establish basic relationships, while our advanced models like random forests and neural networks can capture complex interactions and improve prediction accuracy. By leveraging these models, you can now make better decisions to optimize your crop management and enhance productivity.
Key Factors in Yield Prediction
Farmdeck provides you with accurate information on the four key factors in Yield Estimation:
- NDVI (Normalized Difference Vegetation Index): Measures the health and vigor of vegetation based on the difference between near-infrared and red light reflectance.
- NDRE (Normalized Difference Red Edge Index): Measures chlorophyll content and plant health using the red-edge and near-infrared bands.
- Historical Readings: Past yield data, soil quality, irrigation patterns, and crop management practices.
- External Factors: Weather conditions (temperature, rainfall, humidity), pest and disease presence, and soil nutrients.
Elevate Pasture Insights with Comprehensive Data
Farmdeck’s comprehensive approach to data collection integrates multiple sources to optimise pasture yield estimation. Remote sensing data from satellites and drones provide NDVI and NDRE values over time. Historical data, including pas ation schedules, is stored and accessible.
Weather data is captured through our weather stations and/or your local closest weather station. Additionally, soil data, encompassing soil type, pH, and nutrient levels, is gathered using Farmdeck’s soil moisture sensors. This robust dataset enables precise and informed pasture management.
NDVI (Normalised Difference Vegetation Index)
NDVI is a widely used remote sensing index that measures the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs).
It can be used for:
- Vegetation Health: Higher NDVI values indicate healthier and more vigorous vegetation.
- Biomass Estimation: Correlates with green biomass and can predict crop yield potential.
- Stress Detection: Identifies areas of the field under stress from drought, disease, or nutrient deficiencies.
NDRE (Normalised Difference Red Edge Index)
NDRE is similar to NDVI but uses the red-edge band instead of the red band. This makes it more sensitive to chlorophyll content and plant health, especially in dense vegetation.
NDRE can be used in:
- Chlorophyll Content: More sensitive to chlorophyll levels, making it useful for detecting subtle changes in plant health.
- Crop Vigor: Helps in assessing crop vigor and potential yield more accurately in later stages of growth.
- Precision Agriculture: Enhances precision in applying fertilizers and other inputs.
NDVI, NDRE and …
Green Matter
Green Matter indicates the current health and vigor of your crop. Higher green matter often correlates with better photosynthetic activity and potential yield.
NDVI measures photosynthetic activity, correlating high values with healthy, vigorous crops and abundant green matter, while NDRE enhances this by focusing on chlorophyll content providing a refined measure (for example in dense canopies where NDVI may saturate). Higher green matter often correlates with better photosynthetic activity and potential yield.
Dry Matter
Dry matter refers to the biomass of the crop after all water is removed. High dry matter is vital for crops harvested for their biomass.
Both NDVI and NDRE can estimate dry matter indirectly by assessing the overall health and biomass of the crop. Although NDRE offers a more accurate estimation, especially in later growth stages.
Smarter Yield Insights with NDVI and NDRE
NDVI and NDRE are both valuable for Yield Estimation. NDVI is effective in early growth stages, while NDRE provides better insights during later stages. Combining both indices can improve the accuracy of yield predictions by capturing the full growth cycle of the crop.
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