The Use of Climate Data for Better Irrigation Decision-Making

Abstract

An increasing lack of water and a rising demand for agricultural output have made it important to handle irrigation well for farming to continue in the future. This essay looks at how temperature data can be used to help people make decisions about irrigation in order to save water and increase food yields. Farmers can learn a lot about how much rain falls, how the temperature changes, and how hot it is by using advanced climate models and real-time weather data. Using this information, people involved in agriculture can find the best times to water crops, waste less water, and make the crops healthier overall. This study talks about different ways to gather and analyze climate data, such as using satellite images, weather stations, and tools for making climate predictions. Our study looks at examples of how using temperature data in irrigation has made a big difference in how water is managed and how much food is produced. The results show that farmers who use climate data are better able to predict weather problems like droughts or too much rain, which lets them make changes to their watering plans in time. In addition, the study talks about how technology, such as mobile apps and automatic watering systems, can help people make decisions based on data. These new technologies not only give farmers useful information, but they also encourage environmentally friendly ways to use water.