IoT and AI Enabled Framework to Monitor Soil and Crop Health for Sustainable Development in Precision Farming-A Study

Author: Devendra Singh Bais, Vibha Tiwari, Savita Kolhe and Saurabh Jain

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Abstract

Emerging technologies like Internet of Things (IoT) and Artificial Intelligence (AI) play a significant role in the automation of processes and improving quality of life in terms of sustainable livelihood. The significance of these technologies extends to every domain we can think of. The use of IoT and AI have helped in relieving the farmers risk and enhancing the crop productivity. The World Population Data Sheet 2022 indicates that the global population could grow to around 8.5 billion in 2030, and add 1.18 billion in the following two decades, reaching 9.7 billion in 2050 and the global demand for food which anticipated to grow 70% by 2050. Expected food supply, land requirement to fulfill this demand and reduction in emission are some major challenges. Therefore, increasing and improving the quality of the crop yield is a major field of interest. It is necessary to change the traditional methods and procedures employed in agriculture to satisfy the global demand for food. This paper underlined the comparative analysis in conjunction with an IoT enabled Framework to regulate Soil and Crop Health for sustainable development in precision farming using modern tools and technologies to mitigate challenges and opportunities.

Keywords

Precision Farming, IoT, AI, Cloud Computing, Sensors, Computer Vision

Conclusion

Recent findings suggests that agriculture is a very significant sector for Indian economy, contributing about 17% to the total GDP and offering employment to over 60% of the population. Therefore, it is indeed to reform farming by timely soil testing & crop disease detection using machine learning algorithms and AI techniques efficiently on real time datasets via computer vision to get soil fertility and crop health status regularly. This paper provides the detailed analysis to find both soil nutrient deficiencies and crop ailments to ensure proper dose of fertilisers and make available the sufficient stock of NPK & other fertilizers for future crops for achieving higher yield and quality respectively. The proposed IoT enabled Framework along with soil test result helps the farmers to regulate Soil and Crop Health for their financial growth through proper selection of crop and determining plant diseases at early stages for better prevention and cure.

References

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How to cite this article

Devendra Singh Bais, Vibha Tiwari, Savita Kolhe and Saurabh Jain (2023). IoT and AI Enabled Framework to Monitor Soil and Crop Health for Sustainable Development in Precision Farming-A Study. Biological Forum – An International Journal, 15(2): 742-749.