## 4 Conclusions  
The PLSR approach for soil spectroscopic analysis was evaluated using hyperspectral data from soil samples obtained in a laboratory in Radhapuram, India, to estimate the amounts of the soil nutrients AOC, AN, AP, and AK. The soil nutrients could be predicted using RGB bands, near-infrared, individual RGB, and the VR+NIR region, according to the results. The PLSR method performed best for the combined VR+NIR regions, with an R2 value of 0.970, indicating that nutrients could be better predicted. PRISMA hyperspectral images were also used to evaluate lab-driven models in Radhapuram's Tirunelveli district to increase soil nutrient content on a regional scale. The RMSE values for all soil nutrients in the validation datasets are indicated by PLSR approaches and AOC has the greatest impact on HIS images. As a result, spectral prediction models could be improved, and soil nutrient content could be predicted more accurately using PRISMA hyperspectral images. The research findings provided an important reference for the high-accuracy prediction of soil nutrients. Figure 11: Spectral mapping with PRISMA and ground truth data using SAM classifier. **Author Contributions:** Conceptualization, A.R. and R.S. ; methodology, R.S. ; software, A.R. ; validation, R.S. ; formal analysis, A.R. ; investigation, A.R. and R.S. ; resources, data Creation, writing--review and editing, visualization, A.R. and R.S. ; supervision. All authors have read and agreed to the published version of the manuscript. **Funding:** This research received no external funding. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Data Availability Statement:** Data is contained within the article. **Conflicts of Interest:** The authors declare no conflicts of interest. * [PERSON] and [PERSON] (2012) [PERSON]; [PERSON] Interpolation and extrapolation problems of multivariate regression in analytical chemistry: Benchmarking the robusANess on near-infrared (NIR) spectroscopy data. _Analyst_**2012**, _137_, 1604-1610. [CrossRef] [PubMed]
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