Enhancing Crop Productivity Through Land Dataset Analysis on Selecting the Right Crops for the Right Land

Abstract

This chapter examines the enhancement of agricultural production utilizing sophisticated data analysis methods, specifically analyzing land datasets and mapping crop suitability. Using geospatial data integration and spatial analytic approaches facilitates the assessment of land suitability for different crops. This enables agricultural stakeholders to make educated decisions. The suitability map findings specify regions with different degrees of appropriateness, guiding crop choices and land use planning. Furthermore, comparing crop production data across numerous years uncovers trends and patterns in agricultural performance. The presented data illustrates variances in crop production, financial gain, and ecological consequences, providing valuable observations on changes throughout time and pinpointing opportunities for improvement. The significance of data-driven methodologies in advancing sustainable agriculture is emphasized in our research, emphasizing the need for well-informed decision-making and focused interventions to improve agricultural output while mitigating environmental consequences.