University of Twente Student Theses
Assessment of Nutrients in Crop Canopy to Estimate Nutrients in Yield Using Ground Spectral Measurements
Meme, P.K (2024) Assessment of Nutrients in Crop Canopy to Estimate Nutrients in Yield Using Ground Spectral Measurements.
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| Abstract: | This study explores the use of ground spectral measurements to estimate the concentrations of eight macro- and micro-nutrients (Ca, Mg, Fe, N, Zn, S, K, and P) in wheat canopies across vegetative and reproductive growth stages, as well as in the final grain yield. Partial Least Squares Regression (PLSR) models were used to estimate nutrient concentrations from spectral data, with important spectral regions identified for different nutrients. The models showed moderate predictive capabilities, with R² values ranging from 0.2 to 0.87 across different growth stages. The estimated nutrient concentrations in the canopy were compared with laboratory measurements, resulting in varying degrees of accuracy, with RMSE values ranging from 0.2 to 1441.41 mg/kg. The study highlights the potential of ground spectral measurements for non-destructive and efficient nutrient assessment in crops, offering insights for improving remote sensing tools for nutrient management in agriculture. The findings suggest that further validation across different crops and conditions, as well as the exploration of alternative models, could enhance prediction accuracy and practical applications, ultimately aiding in optimizing agricultural practices and ensuring food security. |
| Item Type: | Essay (Master) |
| Faculty: | ITC: Faculty of Geo-information Science and Earth Observation |
| Subject: | 48 agricultural science |
| Programme: | Geoinformation Science and Earth Observation MSc (75014) |
| Link to this item: | https://purl.utwente.nl/essays/102215 |
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