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Related Concept Videos

Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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Water and Mineral Acquisition02:34

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Specialized tissues in plant roots have evolved to capture water, minerals, and some ions from the soil. Roots exhibit a variety of branching patterns that facilitate this process. The outermost root cells have specialized structures called root hairs that increase the root surface, thus increasing soil contact. Water can passively cross into roots, as the concentration of water in the soil is higher than that of the root tissue. Minerals, in contrast, are actively transported into root cells.
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Automatic nutrient estimator: distributing nutrient solution in hydroponic plants based on plant growth.

Tupili Sangeetha1, Ezhumalai Periyathambi2

  • 1Department of Information Technology, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.

Peerj. Computer Science
|March 4, 2024
PubMed
Summary

This study introduces an automated hydroponic system that accurately estimates and delivers nutrients based on plant growth stages, optimizing yield and reducing manual adjustments for farmers.

Keywords:
Arduino UNOAutomatic hydroponicIoT sensorsMacro nutrientsMask R-CNNMicro nutrientsNutrient estimatorRegion proposal network

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Area of Science:

  • Agricultural Engineering
  • Plant Science
  • Automation

Background:

  • Hydroponics offers soil-less cultivation, minimizing water and pesticide use.
  • Challenges in hydroponics include uneven nutrient distribution and pH/EC fluctuations.
  • Optimizing nutrient delivery is crucial for plant health and yield in hydroponic systems.

Purpose of the Study:

  • To develop an automated system for precise nutrient delivery tailored to plant growth stages.
  • To address challenges in nutrient management, pH, and electrical conductivity (EC) adjustments in hydroponics.
  • To minimize resource wastage and manual labor in hydroponic farming.

Main Methods:

  • An automatic hydroponic nutrient estimator was developed using an Arduino board and four peristaltic pumps.
  • A Plant Growth Stage Identification algorithm was implemented to recognize seedling, vegetative, flowering, and fruiting stages.
  • Nutrient consumption was monitored and adjusted based on identified plant growth stages.

Main Results:

  • The system achieved 97.5% accuracy in identifying the vegetative stage (weeks 1-5) with 1,715 ppm nutrient intake.
  • The flowering stage (weeks 6-9) was identified with 97.5% accuracy, requiring 2,380 ppm nutrients.
  • The fruiting stage (weeks 10-15) was identified with 99.4% accuracy, needing 2,730 ppm nutrients.

Conclusions:

  • The automated system accurately estimates and delivers stage-specific nutrients, enhancing hydroponic cultivation.
  • The Plant Growth Stage Identification algorithm effectively optimizes nutrient management for increased yield.
  • This technology streamlines hydroponic farming, reducing manual labor and improving resource efficiency.