Abstract:
Precision agriculture is a technology-driven approach, integrating ad-
vanced methods such as Variable-Rate Irrigation (VRI) systems and remote sensing
technologies, to optimize farming practices. This study explores the impact of preci-
sion agriculture on water use efficiency (WUE) and crop productivity. Our objective
was to investigate VRI enhance WUE and crop yields. Sensors were deployed across
various fields to monitor soil moisture and crop health, enabling tailored irrigation.
The VRI systems adjusted the water distribution in order to minimize water wastage,
using this data. Crop health was monitored using remote sensing technology, which
involved the use of satellites and drones. This allowed for the identification of specific
locations that had different water requirements. The data was analyzed using Artificial
Intelligence (AI) to create accurate watering schedules. The results of our study
demonstrate a significant improvement in WUE, with VRI systems increasing WUE
by up to 30% and remote sensing technology lowering water use by 20%. In addition,
these technologies significantly enhanced agricultural productivity, with VRI result-
ing in a 10% rise and remote sensing leading to a 5% rise. The results validate that
precision agriculture is a successful approach for enhancing WUE and enhancing crop
output, emphasizing its potential as a sustainable agricultural solution.
