| Autor: |
Tholkapiyan, M., Ramadass, Sudhir, Seetha, J., Ravuri, Ananda, Vidyullatha, Pellakuri, Shankar S., Siva, Gore, Santosh |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 6s (2023): (Articles in Press); 592-598 |
| ISSN: |
2147-6799 |
| Popis: |
The study on the impacts of climate variability on agricultural phenologydelves into the exploration of climate variability's influence on agricultural phenology through the synergistic utilization of geoinformatics, satellite agrometeorology, and AI techniques. Geoinformatics serves the purpose of identifying vulnerable locations, while satellite agrometeorology furnishes indispensable weather data crucial for crop production. By employing AI techniques to analyze extensive datasets, valuable patterns in crop phenology can be discerned, leading to significant insights into crop reactions to climate change. The integration of these methodologies enables researchers to develop a comprehensive comprehension of how climate variability impacts crop phenology, thereby facilitating the formulation of adaptation plans by policymakers and farmers. Ultimately, this research contributes to the promotion of sustainable farming practices and the enhancement of food security amidst the challenges posed by climate change. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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