Exploring the Impact of Digital Farming on Agricultural Engineering Practices

Abstract

Digital farming has revolutionized agriculture by integrating technologies like IoT, AI, big data analytics, and remote sensing. This paper explores the impact of digital farming on agricultural engineering practices, highlighting the changes it has brought to the agri-food landscape. By using real-time data collection, analysis, and predictive modeling, agricultural engineers can make informed decisions, enabling precise and sustainable resource management. Precision agriculture technologies can reduce fertilizer and pesticide use by up to 30%, increase yields by 10–20%, and conserve water by up to 50%. Digital farming practices have also increased efficiency and productivity, with autonomous farm machinery and smart irrigation systems. Autonomous tractors operate without human intervention, freeing up farmers to focus on other tasks. Smart irrigation systems automatically adjust watering schedules based on real-time weather and soil moisture data, ensuring optimal watering for crops. The objective of this study is to demonstrate the capacity of digital farming to bring about significant changes in agricultural engineering techniques, in contrast to conventional approaches. It will examine the effects of digital farming on resource allocation, environmental sustainability, and the global food supply, thereby highlighting its potential for transformation. The research aims to inspire stakeholders in the agricultural sector to embrace digital farming as a transformative force, shaping the future of agricultural engineering practices for a more efficient, resilient, and prosperous agriculture sector.

Keywords

• digital farming
• agricultural engineering
• big data analytics
• remote sensing
• precision agriculture
• sustainability