Triticeae Genomics and Genetics, 2025, Vol.16, No.5, 195-202 http://cropscipublisher.com/index.php/tgg 199 Figure 2 Climatic changes between the RCP8.5 scenario and present-day (Adopted from Daloz et al., 2021) Image caption: Spatial maps of the differences between the RCP8.5 scenario (2046-2065) and the present climate (1986-2005) in: a) mean precipitation (mm.day-1) and b) mean surface temperature over India simulated by the climate model WRF. The dashed lines indicate when the differences are statistically significant at the 99% level using a t-test. Blue dots show the placement of the DSSAT simulation sites spread across the IGP. The areas encompassed by the black and white boxes represent the IGP (Adopted from Daloz et al., 2021) 8 Future Directions and Research Focus 8.1 Integration with climate-smart agriculture Combining precision agriculture (PA) and climate-smart agriculture (CSA) is a good direction to improve wheat's ability to cope with climate change in the future. Doing so can help farmers make better use of resources such as water and fertilizer, while reducing greenhouse gas emissions (Finger et al., 2019). These two methods are combined to use data to guide planting, so that planting methods can be adjusted in time according to changes in weather and environment, which not only stabilizes yields but also reduces the impact on the environment (Mgendi, 2024). Future research can focus on how to better combine these two technologies to solve the two problems of food security and climate change. 8.2 Advances in automation and robotics Robots and automatic equipment are now also used in agriculture. These technologies can help farmers do many things, such as planting, weeding and harvesting, and they are fast, accurate and labor-saving. Many robots are supported by artificial intelligence and machine learning, which can analyze complex data and make decisions on their own (Sharma et al., 2021). Next, research can go in the following directions: how to make robots cheaper and more suitable for small farmers; and how to make these machines work well in different environments and less prone to problems. 8.3 Capacity building and digital literacy Although precision agriculture is easy to use, many farmers still don’t know how to use it, especially in developing countries. Some people don’t understand technology very well and have no chance to use these devices (Kendall et al., 2021). Therefore, training farmers is very important. Through education and training,
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