抄録
Using big data in smart agriculture represents a significant technological revolution in the agricultural sector. This paper delves into the primary application areas of big data in smart agriculture, encompassing precision agriculture, intelligent farming machinery, and sustainable agriculture. To begin with, big data technology offers comprehensive data support for decision-makers in agriculture. Through real-time monitoring and extensive data analysis, agricultural producers can gain more precise insights into soil conditions, crop growth status, and other crucial information. Furthermore, implementing big data in precision agriculture facilitates intelligent agricultural production by integrating precision fertilization, irrigation, and pest and disease monitoring, thereby enhancing production efficiency. The advancement of intelligent farming machinery also plays a pivotal role in enhancing the intelligence and efficiency of field operations. Moreover, big data technology contributes to sustainable agriculture by providing scientific support for agricultural decisions through data analysis on climate change, resource utilization, and other pertinent aspects, thereby promoting the transition towards environmentally friendly agricultural practices. Looking ahead, with continuous innovation and widespread adoption of big data technology, smart agriculture is poised for significant development opportunities.
