Robust Smart Irrigation System using Hydroponic Farming based on Data Science and IoT

Prabha, P. Anantha; Sarala, S M; C, Sharmila Suttur

doi:10.1109/b-htc50970.2020.9297842

“…Researchers in [4] suggest a framework for resource optimization in smart farming, incorporating data storage, image processing, etc. Addressing the crucial role of irrigation and water supply in farming, [5] presents a robust smart irrigation system. Data analysis plays a significant role in farming, enabling the storage and analysis of data from sensors, as described in [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Hydroponic Systems: Optimizing Nutrient Levels with IoT Connectivity

Vinaya Gohokar, Kunal Kulkarni

2024

jes

0

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Maintaining precise nutrient levels is essential for the thriving success of hydroponic systems. This comprehensive study delves into the intricate interplay of climatic conditions and nutrients, meticulously analysing various parameters like Total Dissolved Solids (TDS), pH, and electrical conductivity (EC) within a sophisticated smart hydroponic vertical Nutrient Film Technique (NFT) setup designed for leafy greens. The innovative system integrates a wireless sensor network and Internet of Things (IoT) connectivity, employing ESP32 microcontrollers as the primary unit alongside complementary hardware components for continuous and real-time monitoring of critical nutrient parameters. The investigation delves into the dynamic relationship between environmental factors and the growth patterns of spinach plants. Through a thorough examination of the extensive dataset gathered via deployed sensors, the study unveils variations in environmental parameters throughout various stages of plant development, including germination and root establishment. The study aims to elucidate the significance of each parameter in optimizing plant growth in hydroponic environments by analysing data associations. Results show higher Total Dissolved Solids (TDS) values correlate with better plant growth, while reduced pH levels harm plants. These findings are crucial for interpreting disease symptoms, aiding farmers in identifying issues early and optimizing yields. Understanding how nutrient values affect plant health enables proactive problem-solving. This research provides valuable insights into smart hydroponic systems, informing precision agriculture decisions.

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“…Researchers in [4] suggest a framework for resource optimization in smart farming, incorporating data storage, image processing, etc. Addressing the crucial role of irrigation and water supply in farming, [5] presents a robust smart irrigation system. Data analysis plays a significant role in farming, enabling the storage and analysis of data from sensors, as described in [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Hydroponic Systems: Optimizing Nutrient Levels with IoT Connectivity

Kunal Kulkarni

2024

jes

0

View full text Add to dashboard Cite

Maintaining precise nutrient levels is essential for the thriving success of hydroponic systems. This comprehensive study delves into the intricate interplay of climatic conditions and nutrients, meticulously analysing various parameters like Total Dissolved Solids (TDS), pH, and electrical conductivity (EC) within a sophisticated smart hydroponic vertical Nutrient Film Technique (NFT) setup designed for leafy greens. The innovative system integrates a wireless sensor network and Internet of Things (IoT) connectivity, employing ESP32 microcontrollers as the primary unit alongside complementary hardware components for continuous and real-time monitoring of critical nutrient parameters. The investigation delves into the dynamic relationship between environmental factors and the growth patterns of spinach plants. Through a thorough examination of the extensive dataset gathered via deployed sensors, the study unveils variations in environmental parameters throughout various stages of plant development, including germination and root establishment. The study aims to elucidate the significance of each parameter in optimizing plant growth in hydroponic environments by analysing data associations. Results show higher Total Dissolved Solids (TDS) values correlate with better plant growth, while reduced pH levels harm plants. These findings are crucial for interpreting disease symptoms, aiding farmers in identifying issues early and optimizing yields. Understanding how nutrient values affect plant health enables proactive problem-solving. This research provides valuable insights into smart hydroponic systems, informing precision agriculture decisions.

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“…Topic Solution [58] Irrigation Management [59], [61]- [66] Irrigation System [60] Irrigation Control [67] Irrigation Timing Decision [68] Irrigation Predictive…”

Section: Referencesmentioning

confidence: 99%

A Systematic Review of Current Trends in Artificial Intelligence for Smart Farming to Enhance Crop Yield

Widianto

¹

,

Ardimansyah²,

Pohan³

et al. 2022

Journal of Robotics and Control

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Current technology has been widely applied for development, one of which has an Artificial Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be programmed as needed. In cooperation with agricultural systems, AI is part of improving the quality of agriculture. This technology is no stranger to being applied in basic fields such as agriculture. This smart technology is needed to increase crop yields for various regions by utilizing the current trends paper. This is necessary because less land is available for agriculture, and there is a greater need for food sources. Therefore, this systematic review aims to collect the current trends in AI studies for Smart Farming papers using the latest year features from 2018-2022. This paper is handy for researchers and industry in looking for the latest papers on research to enhance crop yields. The authors utilized Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) of 534 articles from IEEE, ACM, MDPI, IAES, and ScienceDirect. After going through a careful process, 67 papers were found that were judged according to the criteria. After the authors got some of the current trends, the author has discussed several factors regarding the results obtained to enhance crop yields, such as Weather, Soil, Irrigation, Unmanned Aerial Vehicle (UAV), Pest Control, Weed Control, and Disease Control.

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Robust Smart Irrigation System using Hydroponic Farming based on Data Science and IoT

Cited by 6 publications

References 9 publications

Smart Hydroponic Systems: Optimizing Nutrient Levels with IoT Connectivity

Smart Hydroponic Systems: Optimizing Nutrient Levels with IoT Connectivity

Smart Hydroponic Systems: Optimizing Nutrient Levels with IoT Connectivity

A Systematic Review of Current Trends in Artificial Intelligence for Smart Farming to Enhance Crop Yield

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