This project aims to create an advanced humidity and rainfall sensor to measure environmental conditions crucial for plant health and growth. The sensor will collect real-time soil moisture and precipitation data to better understand how these factors impact plants. Preliminary results show a significant correlation between soil moisture, rainfall, and plant vitality indicators like growth and disease resistance. The sensor assemblies allow continuous monitoring needed to adapt to climate changes and ensure sustainable agriculture. In conclusion, this sensor technology provides insights that can improve agricultural practices and resource management.

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.