Analysis of Internet of Things Build Autonomous Crops the Sustainability Precision Agriculture

The increasing global population has driven a surge in agricultural production, emphasizing the need for efficient and high-quality crop yields within shorter timeframes. To address this challenge, modern agriculture is seeking innovative solutions that maximize resource utilization and minimize waste. This review study examines the potential of IoT-based precision agriculture systems in optimizing crop production processes. Specifically, we focus on a prototype that employs an ESP32 development board and Arduino Cloud platform to monitor and control various agricultural parameters, including irrigation, fertilization, temperature, soil humidity, and electrical magnitudes. The integration of a 3D printer for precise planting and a photovoltaic system for sustainable energy generation further enhances the system's capabilities. This review concludes that IoT-based precision agriculture systems offer a promising approach to improving resource efficiency, reducing environmental impact, and ensuring sustainable food production.

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Published
2024-10-15
DOI
https://doi.org/10.1109/icses63445.2024.10762954
Primary Topic
Smart Agriculture and AI
Type
article
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article

Analysis of Internet of Things Build Autonomous Crops the Sustainability Precision Agriculture

A. Padma, Swatmaram, M. Ganeshwar Rao
Smart Agriculture and AI
article

Analysis of Internet of Things Build Autonomous Crops the Sustainability Precision Agriculture

A. Padma, Swatmaram, M. Ganeshwar Rao
article en

Abstract

The increasing global population has driven a surge in agricultural production, emphasizing the need for efficient and high-quality crop yields within shorter timeframes. To address this challenge, modern agriculture is seeking innovative solutions that maximize resource utilization and minimize waste. This review study examines the potential of IoT-based precision agriculture systems in optimizing crop production processes. Specifically, we focus on a prototype that employs an ESP32 development board and Arduino Cloud platform to monitor and control various agricultural parameters, including irrigation, fertilization, temperature, soil humidity, and electrical magnitudes. The integration of a 3D printer for precise planting and a photovoltaic system for sustainable energy generation further enhances the system's capabilities. This review concludes that IoT-based precision agriculture systems offer a promising approach to improving resource efficiency, reducing environmental impact, and ensuring sustainable food production.

Chaitanya Bharathi Institute of Technology (IN)
Zero hunger
Openalex Percentile: Top 88%
Smart Agriculture and AI
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Analysis of Internet of Things Build Autonomous Crops the Sustainability Precision Agriculture — A. Padma, Swatmaram, et al. · (2024) | TGRS Research Map | TGRS