نوع مقاله : مقاله ترویجی
نویسنده
موسسه تحقیقات فنی و مهندسی کشاورزی
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
Frost is a serious threat to food security worldwide, including in Iran. Every year, significant damage is caused by frost, especially radiation frost, to agricultural products. Monitoring crops and timely forecasting of frost events can be highly beneficial for farmers in reducing frost-related damage. Due to the specific characteristics of radiation frost and its dependence on topographical, climatic, and crop conditions, traditional models have limited predictive capabilities. In recent years, the development of artificial intelligence, the Internet of Things, and cyber-physical systems has provided a promising basis for frost forecasting. Additionally, the use of remote sensing technology has improved monitoring and estimating the extent and severity of frost damage. This paper introduces modern methods and technologies for frost forecasting and crop monitoring. The application of intelligent, especially local systems for radiation frost prediction, as well as the use of Unmanned aerial vehicle to create thermal maps and the identification of frost regions for the systematic deployment of protective equipment, is recommended.
کلیدواژهها [English]
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