Author(s): Alok K Mishra, PR Kolhe, ST Patil, PB Bansode, HN Bhange and GG Kadam

Abstract: In order to provide a thorough comparison between the Global Positioning System (GPS) and manual computations for the measuring of agricultural land, we use soft computing approaches in this research. The study's main instrument for measuring area is Google Earth Pro, a program for civil operations, with the goal of evaluating the efficacy and accuracy of various approaches. This research paper presents a comparative analysis of GPS and manual calculations for measuring agricultural land, focusing on efficiency, cost-effectiveness, and ease of use. Through field experiments and data analysis, we investigated the performance of both methods in various agricultural settings. Our findings reveal that manual calculations, despite being time-consuming and labour-intensive, demonstrate higher accuracy compared to GPS measurements. This accuracy stems from the direct involvement of surveyors in the field, enabling a comprehensive understanding of terrain nuances and potential obstacles. However, manual calculations are more suitable for small agricultural plots due to their cost-effectiveness and reliability. In contrast, GPS calculations offer speed and automation but exhibit lower efficiency and accuracy, particularly in challenging environments with signal interference or dense foliage. Although GPS technology eliminates the need for physical surveying equipment, its upfront costs and requirement for specialized training may deter adoption among small-scale farmers. The decision between GPS and manual calculations depends on factors such as land size, budget constraints, and available expertise. While manual methods are recommended for small plots, GPS technology may be more suitable for larger agricultural operations despite its initial investment. Overall, this research provides valuable insights into land measurement practices in agriculture, empowering farmers and landowners to make informed decisions to optimize productivity and resource management.

DOI: 10.33545/26633582.2024.v6.i2a.119

Pages: 18-21 | Views: 1035 | Downloads: 539

Download Full Article: Click Here