Thesis Abstract

Abstract
This thesis investigates the assessment of soil health and nutrient availability in agricultural fields through the utilization of remote sensing technology. The study aims to provide a comprehensive understanding of how remote sensing can be applied to monitor soil conditions, assess nutrient levels, and enhance agricultural productivity. The research encompasses a detailed examination of soil health indicators, including organic matter content, soil pH, nutrient levels, and soil moisture. Remote sensing techniques such as multispectral and hyperspectral imaging, as well as satellite imagery, are employed to collect data on these parameters over large spatial scales. In conducting the study, a thorough literature review was conducted to explore existing research on soil health assessment, remote sensing applications in agriculture, and the relationship between soil properties and crop performance. The research methodology involved field data collection, laboratory analysis, and remote sensing data processing to evaluate soil health indicators and nutrient availability in agricultural fields. The findings of the study reveal the efficacy of remote sensing technology in providing timely and accurate information on soil conditions, nutrient levels, and crop health. The results demonstrate the potential for remote sensing to enhance precision agriculture practices, optimize fertilizer application, and improve crop yield and quality. The discussion of the findings highlights the significance of integrating remote sensing technology into soil health assessment strategies, emphasizing the benefits of real-time monitoring, data-driven decision-making, and sustainable agricultural practices. The study concludes with a summary of key findings, implications for agricultural management, and recommendations for future research in the field of soil science and remote sensing technology. Overall, this thesis contributes to the advancement of knowledge in the assessment of soil health and nutrient availability using remote sensing technology, offering valuable insights for researchers, policymakers, and agricultural practitioners seeking to improve soil management practices and optimize crop production in agricultural fields.

Thesis Overview