How can emerging digital technologies such as remote sensing, geographic information systems (GIS), artificial intelligence (AI), and Internet of Things (IoT) be systematically integrated into climate-smart agricultural frameworks to enhance real-time decision-making, climate risk forecasting, precision farming practices, and resource optimization for smallholder farmers in low- and middle-income countries?
I’ve recently published a short research paper titled:
" A Numerical Simulation of Spherical Tank Drainage Using the Modified Euler Method: A Physics-Based Approach "
It presents a simplified yet insightful Modified Euler’s method for solving differential equations and an physical applications on it.
Feel free to check it out, and if you find it useful, I’d really appreciate your recommendation on ResearchGate.
[https://www.researchgate.net/publication/390947672_A_Numerical_Simulation_of_Spherical_Tank_Drainage_Using_the_Modified_Euler_Method_A_Physics-Based_Approach ]
Hi.,
AI and IoT integration in smart farming. Smart farming integrates Artificial Intelligence (AI) and the Internet of Things (IoT) into cyber-physical systems for comprehensive farm management. AI applications cover various areas such as soil management, crop health monitoring, disease detection, and weed control.
Best Wishes..
Dear Himanshu Tiwari,
to design a climate-smart agricultural framework in which the system components -- Geographic Information Systems (GISs), Artificial Intelligence (AI) and Internet of Things (IoT) -- are integrated, I would try to use the idea of Digital Twin Federation.
For an idea see:
https://www.researchgate.net/publication/366167747_Digital_Twins_in_IoT
Figure 10 (Example of using Digital Twins in Smart Cities to monitor Building Safety with Help of virtual Sensors and virtual Actuators) may provide an idea for solving your problem.
Best regards
Anatol Badach
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