Abstract
Against the backdrop of global climate change, drought has become one of the key challenges limiting agricultural production and food security. To mitigate the negative impacts of drought on crop growth and yield, it is essential to investigate the water utilization mechanisms of drought-resistant crops in depth. This paper, utilizing big data technologies, systematically explores drought-resistant crops' soil water utilization mechanisms under various environmental conditions. Firstly, leveraging the Internet of Things sensors and remote sensing technologies, this study achieved dynamic monitoring of soil moisture and developed a high-precision soil moisture variation model. Secondly, it deeply analyzed the water use efficiency of drought-resistant crops, focusing on adaptive mechanisms in physiological processes, such as root system architecture, stomatal regulation, and transpiration. This paper further elucidated the complex relationships between crop water use efficiency and gene regulatory networks by integrating genomic and environmental data. Finally, based on big data analysis, recommendations are provided for optimizing drought-resistant crop selection and cultivation management strategies, highlighting this approach's potential in drought and irrigated conditions. This paper aims to offer practical insights for the selection, cultivation strategy optimization, and sustainable development of precision agriculture in drought-resistant crops.
