Revolutionizing Agriculture: Harnessing the Power of IoT and ML Synergy to Unlock Opportunities and Address Challenges

Author: Khushbu Maurya
Published Online: July 1, 2024
DOI: https://doi.org/10.63766/spujstmr.24.000024
Abstract
References

The present study focuseson the revolutionary potential of emerging machine learning (ML) and Internet of Things (IoT). The combination of IoT and ML offers a wide range of opportunities to enhance existing farming practices by optimizing resource management, and improving overall productivity. By utilizing these technologies for real time data collection and decision making , farmers can improve their farming by precision agriculture , minimizing the environmental impact, improving environmental impact, and enhancing sustainability. This kind of integration is invaluable and paves a way for crop yield estimation, disease detection, and optimal resource allocation.However, challenges such as data privacy, security, infrastructure requirements, and farmer adoption must be addressed for successful implementation. This study intends to demonstrate the vital significance of utilizing IoT and ML synergy in agriculture for a more productive, sustainable, and technologically advanced future by thoroughly examining the potential and constraints. It also highlights how important it is for stakeholders to work together to overcome obstacles and optimize the advantages of this creative synthesis.

Keywords: Agriculture, Machine Learning, disease detection, optimal resource allocation, Predictive modeling
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