Climate Change in Wheat (Triticum spp.) Under the Light of Remote Sensing, Digital Evolution, and Artificial Intelligence
摘要
As it is known, climate change and global warming caused by humanity threaten the agricultural sector in almost every field, and their effects are increasingly felt. Forest fires, melting of glaciers, excessive rainfall in some places, lack of rain in others for a long time, the transition of winters to warm instead of cold and freezing as usual, and a decrease in water resources are just some examples. On the other hand, although the fields devoted to plant production have reached their limits, lakes and seas cannot be used effectively, the world population’s equal and healthy nutritional needs cannot be met adequately, food security cannot be ensured sufficiently, etc. It also brings with it various vital problems. Furthermore, and as mentioned above, within the framework of good agricultural practices (GAP), successful and appropriate irrigation and agricultural techniques, ensuring complete and adequate food safety, appropriate and sufficient storage, etc., require the process to be met in appropriate amounts and times, as well as the contribution and use of advanced technologies. With the support and collaboration of different branches of science, important contributions that provide valuable and long-term benefits have been achieved. In this study, the effects of climate change on wheat (Triticum spp.) cultivation are evaluated, and techniques that can be used to combat these effects are investigated. Climate change, in particular, is a growing concern in the agricultural sector and can also affect the cultivation of strategic crops such as wheat in various ways. Our study highlights how modern and advanced technologies such as remote sensing (RS), digital evolution (DE), and artificial intelligence (AI) can be used to combat climate change. While (RS) is a powerful tool for monitoring and analyzing changes in fields devoted to agriculture, DE and AI are important tools to process this data in scenarios to predict future climate scenarios. However, the technological solutions they use may be different but complementary. Again, to develop sustainable and effective solutions for wheat agriculture, such approaches may need to be used, and effective social, socioeconomic, and political factors should be taken into account. In the future, with the use of advanced technologies such as RS, DE, and AI, the sustainability of wheat agriculture and resistance to diseases and pests will gain critical importance, and thanks to these technologies, smarter and more efficient production will be made, agricultural practices will be implemented, and especially the wheat plant will be able to grow under changing climate conditions. Its cultivation will become more sustainable, and as a result, a plant of strategic importance for human nutrition and shelter (i.e., wheat) will emerge.