Smart Hydroponic Farming Using An Android Based Mobile Application

Soilless agriculture is a method of growing crops without soil that promises to solve modern agricultural problems such as insufficient land and lack of resources. However, hydroponic systems often require heavy physical labour, lack real-time monitoring capacity, and limited availability. To overcome these limitations and user in a new era of efficient, data-driven, easy-to-use hydroponic farming, we demand a new solution: Use the Android-based mobile app Smart hydroponic farming program. This new system integrates technology, automation, artificial intelligence (AI), and mobile devices to transform the field of agricultural hydroponics. The mobile application which is Android-based mobile performances as a control center, letting farmers to monitor remotely and manage their hydroponic farms from anywhere in the world. Instant information on important parameters including temperature, humidity, pH, nutrients, and water levels is at your fingertips. Our proposed system uses Random forest algorithm that provide users with data-driven insights by analyzing sensor data to identify nutrient imbalance, temperature hikes and pH status. This system reduces the impact of manual and waste resources by automatically performing important functions such as lighting control, food distribution, and water supply. Additionally, the system provides alerts and notifications to ensure that users are informed immediately in case of any deviation or maintenance. This new approach represents an effective and efficient solution to modern agriculture that meets the changing needs of our connected world.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923471
Primary Topic
Innovations in Aquaponics and Hydroponics Systems
Type
article
Field-Weighted Citation Impact
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article

Smart Hydroponic Farming Using An Android Based Mobile Application

R. Vijay, Tupili Sangeetha, M. Yasaswini, D Santhosh
Innovations in Aquaponics and Hydroponics Systems
article

Smart Hydroponic Farming Using An Android Based Mobile Application

R. Vijay, Tupili Sangeetha, M. Yasaswini, D Santhosh
article en

Abstract

Soilless agriculture is a method of growing crops without soil that promises to solve modern agricultural problems such as insufficient land and lack of resources. However, hydroponic systems often require heavy physical labour, lack real-time monitoring capacity, and limited availability. To overcome these limitations and user in a new era of efficient, data-driven, easy-to-use hydroponic farming, we demand a new solution: Use the Android-based mobile app Smart hydroponic farming program. This new system integrates technology, automation, artificial intelligence (AI), and mobile devices to transform the field of agricultural hydroponics. The mobile application which is Android-based mobile performances as a control center, letting farmers to monitor remotely and manage their hydroponic farms from anywhere in the world. Instant information on important parameters including temperature, humidity, pH, nutrients, and water levels is at your fingertips. Our proposed system uses Random forest algorithm that provide users with data-driven insights by analyzing sensor data to identify nutrient imbalance, temperature hikes and pH status. This system reduces the impact of manual and waste resources by automatically performing important functions such as lighting control, food distribution, and water supply. Additionally, the system provides alerts and notifications to ensure that users are informed immediately in case of any deviation or maintenance. This new approach represents an effective and efficient solution to modern agriculture that meets the changing needs of our connected world.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Rajalakshmi Engineering College
Openalex Percentile: Top 73%
Innovations in Aquaponics and Hydroponics Systems
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Smart Hydroponic Farming Using An Android Based Mobile Application — R. Vijay, Tupili Sangeetha, et al. · (2024) | TGRS Research Map | TGRS