SlideShare a Scribd company logo
1 of 17
RELACIÓN ENTRE LAS PLANTAS Y EL CLIMA: MEDICIÓN
DE LAS CONDICIONES IDEALES PARA EL CRECIMIENTO
DE LAS PLANTAS
Daniel Castro
Danna Rojas
Introduction
The delicate balance between climatic conditions and the specific moisture needs of plants is crucial for
their optimal growth and development. Precipitation, being an essential source of water, plays a
fundamental role in vital processes such as photosynthesis, nutrient supply and thermal regulation.
Lack of precipitation can lead to water stress, plant wilting and damage, while a constant supply of water
and nutrients will boost growth, promoting a healthier appearance and preventing water stress that can
reduce growth and increase susceptibility to disease.
Summary:
The goal of the project is to create an advanced rainfall and humidity sensor that will enable accurate
and efficient measurement of environmental factors that affect plant health. The project seeks to better
understand the needs of your plants by combining sensor technology with knowledge of electrical
circuits. Measuring and analyzing soil moisture and rainfall contributes to healthier and more sustainable
plant growth.
In addition, this project aims to have an emphasis in the field of electronics and circuitry. Also, to the
Development of skills in sensor programming and circuit creation. This will encourage learning and
exploration in technology.
Background
1.Prediction of humidity and environmental temperature in agriculture using Mamdani inference
systems. International Journal of Electrical and Computer Engineering.
2.Predictive model of humidity in greenhouses by means of fuzzy inference systems applying
optimization methods, under development.
3.Greenhouse environment management by means of an electronic microcontroller for the cultivation of
Vegetables of vegetables. Espacios Magazine.
4.Systematic review of greenhouse moisture prediction and control models using fuzzy inference
systems.
The project is based on the essential premise of optimizing crop management by obtaining accurate,
real-time data on critical factors, specifically soil moisture and precipitation.
Defining humidity behavior through systems allows decisions to be made to improve climate control and
regulation.Monitoring and control systems to ensure the operational efficiency and vitality of the facilities.
Justification
Problem statement
Plants are an essential part of terrestrial ecosystems and play an important role in air purification,
the water cycle, and the provision of food and shelter for wildlife. However, environmental factors,
including poor rainfall and humidity conditions, threaten their health and vitality. There is an
increase in the frequency and intensity of extreme weather events, such as prolonged droughts and
torrential rains, which may cause imbalances in water supply to plants as climate change
intensifies.
Problem question:
How can a study be conducted using electronic circuitry to evidence humidity and precipitation patterns,
and how this affects plant development, thus helping to optimize plant vitality under changing
environmental conditions?
Main objective:
To create an advanced humidity and rainfall sensor that enables the accurate capture of environmental
conditions crucial to plant health, with the purpose of deepening the understanding of how these conditions
impact their growth and well-being.
Specific Objectives:
1.Create a well-developed electrical diagram layout can provide clarity of the assembly.
2. Design a humidity and rain sensor that incorporates technology to analyze environmental conditions
relevant to plant development.
3. Develop a data collection and storage system that can efficiently record and analyze the information
collected by the sensor.
Methodology:
1.Data Collection
2.Sensor Design and Development
3.Testing and Calibration
4.Relationship to Plant Vitality:
5.Documentation and Communication
6.Component Selection
7.Circuit Connections
8.Hypothetical Analysis
9.Data Collection System
ACTIVITY DEVELOPMENT TIME
Project approach Study and analysis of the
possibility of carrying out the
project.
August 5
Data collection Collection of data and information
about sensors and factors
important for plant vitality.
August 20
Sensor simulation Make the sensor design in the
digital tool Tinkercad and in turn
create the programming code.
August 26
Sensor development Physical creation of both
sensors
October 28
Summary of findings This includes data, statistics
and any important information
related to the research topic.
November 7
Interpretation of results The data are analyzed and
interpretations of their
significance are offered. The
implications of the findings in
the context of the problem or
research question are
explained.
November 10
Table. 1
Development:
Implementation of topics seen and applied in the project through the use
of humidity sensors, each with their respective physical assembly in
addition to making their previous programming and analysis apart from
making a data collection and hypothetical analysis.
Figure 1. Simulation Figure 2. Simulation
Development:
Figure 3. Simulation Figure 4. Simulation
Preliminary results
This project has been devoted to the study of plant vitality in relation to important environmental factors such as
soil moisture and precipitation. Important conclusions have been reached that give us a deeper understanding of
the dynamics between these important factors and plant health. Accurate and detailed data collection was
achieved through setups equipped with specialized sensors, allowing for rigorous analysis.
Statistical analysis showed a significant correlation between soil moisture and rainfall and several
vitality indicators, such as growth rate, chlorophyll content and disease resistance. These
interactions highlight the complexity of environmental factors in the plant growth environment.
Day Soil moisture (%) Rainfall (mm) Plant vitality
1 30 0 60
2 40 5 65
3 50 10 70
4 60 15 75
5 70 20 80
6 80 5 78
7 90 2 75
Table. 2
Sensor assemblies have proven crucial for real-time data collection, allowing for a more detailed and dynamic
understanding of environmental conditions. This demonstrates how crucial continuous monitoring is to adapt
to seasonal changes and climatic shifts.
Conclusions
The findings of this project provide new insights for sustainable agriculture and crop
management. The ability to anticipate and respond to changes in moisture and rainfall
can significantly increase agricultural productivity and reduce the risk of losses.
In summary, this project has increased scientific understanding of the interaction
between moisture, rainfall and plant vitality. Furthermore, it has demonstrated that
sensor technology is essential for a more accurate and applied understanding of
these phenomena. These findings have direct practical implications for improving
agricultural practices and resource management, as well as providing a solid
foundation for future research.
Bibliographies
Public Function (2014, December 31). Decree 1076 of 2015. Portal Único de
Normatividad del Estado Colombiano.
Hernández, F., & Paredes, J. (2019). Impact of Climate Change on Sustainable
Agriculture. Journal of Scientific and Technological Research of the Autonomous
University of the State of Hidalgo, 16(63), 46-51.
Canna Spain (n.d.). Influence of environmental temperature on plants. Canna España.
Altieri, M. A., & Nicholls, C. (2008). Climate change impacts on peasant and traditional
farming communities and their adaptive responses. Agroecology, 3, 7-24.
Fernandez, J. L. U. (2013). Climate change: its causes and environmental effects. Annals
of the royal academy of medicine and surgery of Valladolid, (50), 71-98.
Raven, P. H., Evert, R. F., & Eichhorn, S. E. (1992). Plant biology.

More Related Content

Similar to Diapositiva digitales.pptx

Smart city: an advanced framework for analyzing public sentiment orientation ...
Smart city: an advanced framework for analyzing public sentiment orientation ...Smart city: an advanced framework for analyzing public sentiment orientation ...
Smart city: an advanced framework for analyzing public sentiment orientation ...IJECEIAES
 
ENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final Report
ENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final ReportENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final Report
ENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final ReportBrian Ly
 
Realtime monitoring for groundwater level and local climate based on universa...
Realtime monitoring for groundwater level and local climate based on universa...Realtime monitoring for groundwater level and local climate based on universa...
Realtime monitoring for groundwater level and local climate based on universa...CSITiaesprime
 
Review on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agricultureReview on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agricultureIRJET Journal
 
Deep learning for large scale biodiversity monitoring
Deep learning for large scale biodiversity monitoringDeep learning for large scale biodiversity monitoring
Deep learning for large scale biodiversity monitoringGreenapps&web
 
IRJMETS40700148728(21-22).pdf
IRJMETS40700148728(21-22).pdfIRJMETS40700148728(21-22).pdf
IRJMETS40700148728(21-22).pdfshruthi810379
 
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...ijsc
 
An efficient method for assessing water
An efficient method for assessing waterAn efficient method for assessing water
An efficient method for assessing waterijsc
 
Advances in greenhouse_automation_and_co
Advances in greenhouse_automation_and_coAdvances in greenhouse_automation_and_co
Advances in greenhouse_automation_and_coPrasuna V
 
Internet of things based automated monitoring for indoor aeroponic system
Internet of things based automated monitoring for indoor  aeroponic systemInternet of things based automated monitoring for indoor  aeroponic system
Internet of things based automated monitoring for indoor aeroponic systemIJECEIAES
 
Internet of things in Irrigation sector
Internet of things in Irrigation sectorInternet of things in Irrigation sector
Internet of things in Irrigation sectoravyayrao1
 
https://twitter.com/ijcseajournal1/status/1514111418504658944
https://twitter.com/ijcseajournal1/status/1514111418504658944https://twitter.com/ijcseajournal1/status/1514111418504658944
https://twitter.com/ijcseajournal1/status/1514111418504658944IJCSEA Journal
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIJCSEA Journal
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORK IOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK IJCSEA Journal
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIJCSEA Journal
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORKIOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIJCSEA Journal
 

Similar to Diapositiva digitales.pptx (20)

Smart city: an advanced framework for analyzing public sentiment orientation ...
Smart city: an advanced framework for analyzing public sentiment orientation ...Smart city: an advanced framework for analyzing public sentiment orientation ...
Smart city: an advanced framework for analyzing public sentiment orientation ...
 
ENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final Report
ENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final ReportENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final Report
ENGR_4328_UHD_Brian Ly_ Sustainable Community Garden_ Final Report
 
Design and development of control and monitoring hydroponic system
Design and development of control and monitoring hydroponic  systemDesign and development of control and monitoring hydroponic  system
Design and development of control and monitoring hydroponic system
 
L41037176
L41037176L41037176
L41037176
 
Realtime monitoring for groundwater level and local climate based on universa...
Realtime monitoring for groundwater level and local climate based on universa...Realtime monitoring for groundwater level and local climate based on universa...
Realtime monitoring for groundwater level and local climate based on universa...
 
Review on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agricultureReview on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agriculture
 
Access.2020.3025590
Access.2020.3025590Access.2020.3025590
Access.2020.3025590
 
Deep learning for large scale biodiversity monitoring
Deep learning for large scale biodiversity monitoringDeep learning for large scale biodiversity monitoring
Deep learning for large scale biodiversity monitoring
 
IRJMETS40700148728(21-22).pdf
IRJMETS40700148728(21-22).pdfIRJMETS40700148728(21-22).pdf
IRJMETS40700148728(21-22).pdf
 
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...
 
An efficient method for assessing water
An efficient method for assessing waterAn efficient method for assessing water
An efficient method for assessing water
 
Advances in greenhouse_automation_and_co
Advances in greenhouse_automation_and_coAdvances in greenhouse_automation_and_co
Advances in greenhouse_automation_and_co
 
Internet of things based automated monitoring for indoor aeroponic system
Internet of things based automated monitoring for indoor  aeroponic systemInternet of things based automated monitoring for indoor  aeroponic system
Internet of things based automated monitoring for indoor aeroponic system
 
Internet of things in Irrigation sector
Internet of things in Irrigation sectorInternet of things in Irrigation sector
Internet of things in Irrigation sector
 
https://twitter.com/ijcseajournal1/status/1514111418504658944
https://twitter.com/ijcseajournal1/status/1514111418504658944https://twitter.com/ijcseajournal1/status/1514111418504658944
https://twitter.com/ijcseajournal1/status/1514111418504658944
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORK IOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORKIOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
 
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORKIOT BASED SMART IRRIGATION SYSTEM BY  EXPLOITING DISTRIBUTED SENSORIAL NETWORK
IOT BASED SMART IRRIGATION SYSTEM BY EXPLOITING DISTRIBUTED SENSORIAL NETWORK
 
Paper2507.pdf
Paper2507.pdfPaper2507.pdf
Paper2507.pdf
 

Recently uploaded

microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacingjaychoudhary37
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLDeelipZope
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 

Recently uploaded (20)

microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacing
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 

Diapositiva digitales.pptx

  • 1. RELACIÓN ENTRE LAS PLANTAS Y EL CLIMA: MEDICIÓN DE LAS CONDICIONES IDEALES PARA EL CRECIMIENTO DE LAS PLANTAS Daniel Castro Danna Rojas
  • 2. Introduction The delicate balance between climatic conditions and the specific moisture needs of plants is crucial for their optimal growth and development. Precipitation, being an essential source of water, plays a fundamental role in vital processes such as photosynthesis, nutrient supply and thermal regulation. Lack of precipitation can lead to water stress, plant wilting and damage, while a constant supply of water and nutrients will boost growth, promoting a healthier appearance and preventing water stress that can reduce growth and increase susceptibility to disease.
  • 3. Summary: The goal of the project is to create an advanced rainfall and humidity sensor that will enable accurate and efficient measurement of environmental factors that affect plant health. The project seeks to better understand the needs of your plants by combining sensor technology with knowledge of electrical circuits. Measuring and analyzing soil moisture and rainfall contributes to healthier and more sustainable plant growth. In addition, this project aims to have an emphasis in the field of electronics and circuitry. Also, to the Development of skills in sensor programming and circuit creation. This will encourage learning and exploration in technology.
  • 4. Background 1.Prediction of humidity and environmental temperature in agriculture using Mamdani inference systems. International Journal of Electrical and Computer Engineering. 2.Predictive model of humidity in greenhouses by means of fuzzy inference systems applying optimization methods, under development. 3.Greenhouse environment management by means of an electronic microcontroller for the cultivation of Vegetables of vegetables. Espacios Magazine. 4.Systematic review of greenhouse moisture prediction and control models using fuzzy inference systems.
  • 5. The project is based on the essential premise of optimizing crop management by obtaining accurate, real-time data on critical factors, specifically soil moisture and precipitation. Defining humidity behavior through systems allows decisions to be made to improve climate control and regulation.Monitoring and control systems to ensure the operational efficiency and vitality of the facilities. Justification
  • 6. Problem statement Plants are an essential part of terrestrial ecosystems and play an important role in air purification, the water cycle, and the provision of food and shelter for wildlife. However, environmental factors, including poor rainfall and humidity conditions, threaten their health and vitality. There is an increase in the frequency and intensity of extreme weather events, such as prolonged droughts and torrential rains, which may cause imbalances in water supply to plants as climate change intensifies.
  • 7. Problem question: How can a study be conducted using electronic circuitry to evidence humidity and precipitation patterns, and how this affects plant development, thus helping to optimize plant vitality under changing environmental conditions?
  • 8. Main objective: To create an advanced humidity and rainfall sensor that enables the accurate capture of environmental conditions crucial to plant health, with the purpose of deepening the understanding of how these conditions impact their growth and well-being.
  • 9. Specific Objectives: 1.Create a well-developed electrical diagram layout can provide clarity of the assembly. 2. Design a humidity and rain sensor that incorporates technology to analyze environmental conditions relevant to plant development. 3. Develop a data collection and storage system that can efficiently record and analyze the information collected by the sensor.
  • 10. Methodology: 1.Data Collection 2.Sensor Design and Development 3.Testing and Calibration 4.Relationship to Plant Vitality: 5.Documentation and Communication 6.Component Selection 7.Circuit Connections 8.Hypothetical Analysis 9.Data Collection System
  • 11. ACTIVITY DEVELOPMENT TIME Project approach Study and analysis of the possibility of carrying out the project. August 5 Data collection Collection of data and information about sensors and factors important for plant vitality. August 20 Sensor simulation Make the sensor design in the digital tool Tinkercad and in turn create the programming code. August 26 Sensor development Physical creation of both sensors October 28 Summary of findings This includes data, statistics and any important information related to the research topic. November 7 Interpretation of results The data are analyzed and interpretations of their significance are offered. The implications of the findings in the context of the problem or research question are explained. November 10 Table. 1
  • 12. Development: Implementation of topics seen and applied in the project through the use of humidity sensors, each with their respective physical assembly in addition to making their previous programming and analysis apart from making a data collection and hypothetical analysis. Figure 1. Simulation Figure 2. Simulation
  • 13. Development: Figure 3. Simulation Figure 4. Simulation
  • 14. Preliminary results This project has been devoted to the study of plant vitality in relation to important environmental factors such as soil moisture and precipitation. Important conclusions have been reached that give us a deeper understanding of the dynamics between these important factors and plant health. Accurate and detailed data collection was achieved through setups equipped with specialized sensors, allowing for rigorous analysis. Statistical analysis showed a significant correlation between soil moisture and rainfall and several vitality indicators, such as growth rate, chlorophyll content and disease resistance. These interactions highlight the complexity of environmental factors in the plant growth environment.
  • 15. Day Soil moisture (%) Rainfall (mm) Plant vitality 1 30 0 60 2 40 5 65 3 50 10 70 4 60 15 75 5 70 20 80 6 80 5 78 7 90 2 75 Table. 2 Sensor assemblies have proven crucial for real-time data collection, allowing for a more detailed and dynamic understanding of environmental conditions. This demonstrates how crucial continuous monitoring is to adapt to seasonal changes and climatic shifts.
  • 16. Conclusions The findings of this project provide new insights for sustainable agriculture and crop management. The ability to anticipate and respond to changes in moisture and rainfall can significantly increase agricultural productivity and reduce the risk of losses. In summary, this project has increased scientific understanding of the interaction between moisture, rainfall and plant vitality. Furthermore, it has demonstrated that sensor technology is essential for a more accurate and applied understanding of these phenomena. These findings have direct practical implications for improving agricultural practices and resource management, as well as providing a solid foundation for future research.
  • 17. Bibliographies Public Function (2014, December 31). Decree 1076 of 2015. Portal Único de Normatividad del Estado Colombiano. Hernández, F., & Paredes, J. (2019). Impact of Climate Change on Sustainable Agriculture. Journal of Scientific and Technological Research of the Autonomous University of the State of Hidalgo, 16(63), 46-51. Canna Spain (n.d.). Influence of environmental temperature on plants. Canna España. Altieri, M. A., & Nicholls, C. (2008). Climate change impacts on peasant and traditional farming communities and their adaptive responses. Agroecology, 3, 7-24. Fernandez, J. L. U. (2013). Climate change: its causes and environmental effects. Annals of the royal academy of medicine and surgery of Valladolid, (50), 71-98. Raven, P. H., Evert, R. F., & Eichhorn, S. E. (1992). Plant biology.