@ARTICLE{Rani_Suborna_Harnessing_2023,
 author={Rani, Suborna and Das, Kallol and Aminuzzaman, F.M. and Ayim, Benjamin Yaw and Borodynko-Filas, Natasza},
 volume={vol. 63},
 number={No 4},
 journal={Journal of Plant Protection Research},
 pages={387-398},
 howpublished={online},
 year={2023},
 publisher={Committee of Plant Protection PAS},
 publisher={Institute of Plant Protection – National Research Institute},
 abstract={The world population is projected to reach 9.8 billion in 2050, and 11.2 billion in 2100 (United Nations) and people will need food, and decrease the farming land. Thus, the importance of Internet of Things (IoT) and Computer Science (CS) in plant disease management are increasing now-a-days. Mobile apps, remote sensing, spectral signature analysis, artificial neural networks (ANN), and deep learning monitors are commonly used in plant disease and pest management. IoT improves crop yield by fostering new farming methods along with the improvement of monitoring and management through cloud computing. In the quest for effective plant disease control, the future lies in cutting-edge technologies. The integration of IoT, artificial intelligence, and data analytics revolutionizes monitoring and diagnosis, enabling timely and precise interventions. Cloud computing facilitates real-time data sharing and analysis empower farmers to combat diseases with unprecedented efficiency. By harnessing these innovations, agriculture can embrace sustainable practices and safeguard crop health, ensuring a bountiful and secure future for the global food supply.},
 type={Article},
 title={Harnessing the future: cutting-edge technologies for plant disease control},
 URL={http://www.czasopisma.pan.pl/Content/129614/PDF-MASTER/OA_09_JPPR_63_4_1690_Rani.pdf},
 doi={10.24425/jppr.2023.147829},
 keywords={agriculture, computer science, crop protection, IoT, plant diseases},
}