Smart Composting Solutions for Organic Waste Management and Soil Enrichment in Agriculture with IoT and Gradient Boosting

Modern agricultural operations have significant challenges due to organic waste management since conventional approaches often prove ineffective and unsustainable. To overcome these challenges, this research suggests a new method for smart composting that combines IoT with gradient-boosting algorithms. This system accurately manages and optimizes the composting process by employing Internet of Things (IoT) sensors to monitor important factors, including temperature, moisture, pH, and oxygen content. Real-time data analysis is then performed using Gradient Boosting algorithms. By combining the IoT with gradient boosting may preventatively measures to maximize decomposition and microbial activity, which speeds up the composting process and reduces resource waste. The produced compost has higher nutritional content and more diverse microbes, making it useful as a soil supplement in farming. In addition to improving organic waste management, this novel method helps with soil enrichment and sustainable agriculture, promoting efficiency and resource conservation. Accurate sensor readings, data integration, real-time tracking, and quickly achieving optimal composting conditions are all challenges.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/icses63445.2024.10763259
Citations
34
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
20.39
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article

Smart Composting Solutions for Organic Waste Management and Soil Enrichment in Agriculture with IoT and Gradient Boosting

B Sakthisaravanan, K. Sasikala, Arshadh Ariff Mohamed Abuthahir Riazulhameed, S. Murugan et al.
34 citations
Smart Agriculture and AI
20.39
article

Smart Composting Solutions for Organic Waste Management and Soil Enrichment in Agriculture with IoT and Gradient Boosting

B Sakthisaravanan, K. Sasikala, Arshadh Ariff Mohamed Abuthahir Riazulhameed, S. Murugan, Pramod Pandey, Chitra Sabapathy Ranganathan
article en
34 citations

Abstract

Modern agricultural operations have significant challenges due to organic waste management since conventional approaches often prove ineffective and unsustainable. To overcome these challenges, this research suggests a new method for smart composting that combines IoT with gradient-boosting algorithms. This system accurately manages and optimizes the composting process by employing Internet of Things (IoT) sensors to monitor important factors, including temperature, moisture, pH, and oxygen content. Real-time data analysis is then performed using Gradient Boosting algorithms. By combining the IoT with gradient boosting may preventatively measures to maximize decomposition and microbial activity, which speeds up the composting process and reduces resource waste. The produced compost has higher nutritional content and more diverse microbes, making it useful as a soil supplement in farming. In addition to improving organic waste management, this novel method helps with soil enrichment and sustainable agriculture, promoting efficiency and resource conservation. Accurate sensor readings, data integration, real-time tracking, and quickly achieving optimal composting conditions are all challenges.

Vels University (IN), Shri Venkateshwara University (IN), Symbiosis International University (IN), Saveetha University (IN)
Zero hunger
Openalex Percentile: Top 0%
Smart Agriculture and AI
20.39
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