Paper Key : IRJ************532
Author: Nanthana I,Atchudha S,Nishandhini K,Keerthipriya T,Raja T
Date Published: 02 May 2024
Abstract
Precision agriculture is becoming increasingly popular in the modern farming industry. Predictive analytics and improved farm and crop management systems guarantee crop quality and supply.The proposed system uses ESP32, various sensors, and a water motor to collect and analyze data related to soil moisture, crop growth rate, water level and animal intervention.The system sends real time alerts to the farmer via IOT when any abnormal condition is detected. The data collected is stored in the cloud, enabling farmers to access and analyze it for better decision making. This paper presents the design, implementation, and evaluation of the proposed system. In this paper, we have proposed a novel methodology for precision agriculture by linking a smart sensing system through wireless communication technology. Our system focuses on the measurement of physical parameters such as soil moisture content, and environment condition of the plant that plays a vital role in precision agriculture. Furthermore, the integration of AI algorithms enhances the capabilities of the proposed system by providing advanced analytics and decision-making support.
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