=Paper=
{{Paper
|id=Vol-3899/paper2
|storemode=property
|title=Information system to enhance agricultural production efficiency based on sustainable development principles
|pdfUrl=https://ceur-ws.org/Vol-3899/paper2.pdf
|volume=Vol-3899
|authors=Volodymyr Hnatushenko,Victor Shuleshko,Tetiana Bulana,Bohdan Molodets
|dblpUrl=https://dblp.org/rec/conf/advait/HnatushenkoSBM24
}}
==Information system to enhance agricultural production efficiency based on sustainable development principles==
https://ceur-ws.org/Vol-3899/paper2.pdf
Information system to enhance agricultural production
efficiency based on sustainable development principles⋆
Volodymyr Hnatushenko1,†, Victor Shuleshko1,†, Tetiana Bulana1,† and Bohdan Molodets1,*,†
1 Dnipro University of Technology, 19 av. Dmytra Yavornytskoho, Dnipro, 49005, Ukraine
Abstract
The increasing global demand for sustainable agricultural practices necessitates innovative solutions to
optimize resource use and minimize environmental impact. This paper presents the information technology
developed to automate and optimize the operation of a hydroponic system to improve energy and resource
efficiency in sustainable agriculture. An automated control platform at the system's base continuously
monitors key environmental parameters within the hydroponic facility, including water level, nutrient
distribution, lighting, and energy consumption. The system can precisely regulate the processes by
collecting real-time data on these variables, providing ideal conditions for plant growth. The hydroponic
system is equipped with a set of sensors and actuators that control water flow, fertilizer supply, and lighting
according to the needs of each plant. The developed spectral composition is based on combining the spectra
of HPS and two peaks of photosynthetic efficiency. This combination of the spectrums complements each
other, which allows photosynthesis to proceed as efficiently as possible. The system makes it possible to
save up to 25% of electricity consumption without losing quality and quantity characteristics, to reduce the
number of hours of illumination, and to be placed in cost-effective climatic conditions.
Keywords
Information technology, hydroponic system, dynamic lighting, sustainable development
1. Introduction
In 2015, the United Nations adopted the Sustainable Development Goals (SDGs), or the Global Goals,
as a universal initiative to eradicate poverty, preserve the planet, and ensure peace and prosperity
for all people by 2030 [1].
One solution that can help achieve these goals is using a recycled water supply system. It is crucial
to achieving sustainable development goals by ensuring the rational use of water resources and
contributing to the preservation of ecosystems [2-4]. In today's increasingly water-scarce world,
recycled water systems allow water reuse, reducing water loss and minimizing the need for new
water intake sources. This is especially important in regions with limited water resources and the
context of climate change. Water reuse reduces the need for wastewater disposal, which helps to
preserve marine ecosystems and reduce pollution. Water recycling systems can provide a stable and
efficient water supply for agriculture, contributing to higher agricultural output and sustainability,
even in drought regions. The use of circulating water systems helps save energy required for
pumping and filtering water, reducing the overall water management cost. This also positively
impacts the energy balance and contributes to the fight against climate change.
This paper presents the development of a model for an information system aimed at increasing
the efficiency of agricultural production. The proposed system integrates cutting-edge technologies
and practices to create a sustainable solution addressing water conservation and agricultural
AdvAIT-2024: 1st International Workshop on Advanced Applied Information Technologies, December 5, 2024, Khmelnytskyi,
Ukraine - Zilina, Slovakia
∗ Corresponding author.
† These authors contributed equally.
vvgnat@ukr.net (V. Hnatushenko); shuleshko.v.p@nmu.one (V. Shuleshko); tatyana.bulanaya@gmail.com (T. Bulana);
bogdan.molodets@gmail.com (B. Molodets)
0000-0003-3140-3788 (V. Hnatushenko); 0009-0002-1424-6856 (V. Shuleshko); 0000-0001-6346-3326 (T. Bulana); 0000-
0002-7802-389X (B. Molodets)
© 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
productivity. By leveraging advanced filtration, treatment processes, and recirculation mechanisms,
the model seeks to enhance water use efficiency, reduce operational costs, and contribute to the
broader goals of sustainable development.
The significance of this research lies in its potential to provide a scalable and adaptable framework
for water recycling in various agricultural settings. Through a detailed examination of the system's
design, implementation, and performance, this study aims to demonstrate how innovative water
management strategies can drive significant improvements in agricultural efficiency and sustainability.
2. Related works
Advancements in aquaculture and hydroponic systems have gained significant attention in recent
years, driven by the increasing need for sustainable and resource-efficient food production methods.
Key research and innovations in these fields highlight progress in recirculating water systems and
hydroponic technologies.
The patent [5] describes a recirculating water supply device. A recirculating water supply device
for the production of organic products in aquaculture includes a tank for growing aquatic organisms,
a light source, a compressor, an air sprayer, a piping system, a pump, a thin layer settling tank,
cultivation of plants, according to the utility model, the system includes a tank with a dense
plantation of herbivorous fish, with the possibility of introducing spirulina into their diet with a ratio
of 5...15 ml per 100 liters of tank volume every five days.
Figure 1: Scheme of recirculating water supply device [5].
In a study [6], authors compare leaf-to-air temperature differences among the radiation sources
and environments by applying a common mechanistic energy-balanced model. The described model
indicates that light-emitting diode (LED) technology reduces leaf temperature compared to high-
pressure sodium (HPS) technology. These results allow researchers and the horticulture industry to
make informed decisions when employing these technologies.
Paper [7] presents the improvement of the current traditional hydroponic method by providing a
system that can monitor and control the important elements to help the plant grow smoothly. That
system is efficient and user-friendly and combines a traditional hydroponic system, an automatic
control system, and a smartphone. In a study [8], authors explain six types of hydroponic systems
based on plant nutrient supply technology: Wicking system, deep water culture DWC, drip system,
aeroponics, ebb and flow system, and nutrient film technique (NFT). Paper [9] introduces a self-
fertigation hydroponic system that fosters sustainability and boosts agricultural productivity in
remote locations. That system achieves efficient plant growth with minimal resource use, optimizing
water and nutrient management to create favorable growing conditions while conserving essential
resources. In paper [10], a cost-effective automated vertical hydroponic system using an IoT platform
has been implemented. The authors studied and calculated hydroponic system parameters such as
suitable temperature, light wavelength, etc. Also, they provided web and mobile interfaces to
increase system accessibility. Paper [11] discusses developing and implementing a hydroponic
system that uses renewable energy for autonomous operation. The authors propose a solution that
combines an automated hydrolysis system with renewable energy sources, such as solar panels or
wind turbines, to support sustainable and self-sufficient plant cultivation. In a study [12], authors
investigate the effect of different hydroponic systems on lettuce growth. The aim of the study was
to evaluate how different hydroponics methods, such as deep water culture (DWC), drip irrigation,
and nutrient feeding technique (NFT), affect the biometric parameters and yield of lettuce plants.
The study showed that the type of hydroponic system plays a crucial role in the growth and
development of lettuce. The use of the NFT system is the most effective for growing lettuce due to
the optimal supply of nutrients and oxygen to the plants.
3. Model description
3.1. Requirements for the information system
The information system should support management and decision-making in the agricultural sector,
increasing efficiency by automating management processes, monitoring crops, tracking resources,
and optimizing the use of additional nutrients, water, machinery, and other resources.
Therefore, the following requirements are developed for the information system:
• The system must automatically monitor and regulate key parameters such as the pH of
the solution, Electrical conductivity (EC) of the nutrient solution, Oxygen levels in the
water, Water and air temperature, and Humidity levels.
• The system must detect deviations from normal conditions and automatically notify
operators or initiate corrective action. Keep records and control the use of fertilizers,
pesticides, water, and machinery.
• The system must manage resources such as automated nutrient dispensing, lighting
control, irrigation management (control the frequency and amount of irrigation for each
zone of the hydroponic system), and water recirculation (ensuring efficient water use and
preventing water stagnation) [13].
• The system should provide detailed reports on water, fertilizer, energy consumption, and
equipment operation times for efficient resource management.
• Farmers should have access to the system via a mobile or web application, allowing for
remote control of hydroponic system parameters, notifications about issues, and the
ability to quickly adjust settings.
Hydroponic systems, as a part of information systems, are designed to ensure the efficient use of
water resources by re-cleaning and returning water to the system without significant additional
freshwater intake. Such devices help to minimize water losses, reduce environmental impact, and
increase the economic efficiency of agricultural production [14,15]. The main tasks of these systems
are to purify used water, remove pollutants, maintain the balance of trace elements, provide optimal
conditions for plant growth, and maintain aquatic life. Key parameters in hydroponics, such as pH
balance, regulation of nutrient levels, and optimal environmental conditions, are maintained by
controlling several factors. These include light intensity, electrical conductivity, total dissolved
solids, temperature, humidity, air circulation, and water management. By precisely managing these
variables, an ideal environment for plant growth is achieved [16,17].
The requirements for hydroponic systems are determined by the goals of ensuring efficient
system operation, reliability, economy, and environmental compatibility. The main requirements for
such a system are:
• Minimize water consumption: The water must be reused with minimal losses. This is
important to reduce water consumption, especially in regions with limited access to fresh
water [18, 19].
• High recycling rate: The volume of water that can be reused after treatment must be as high
as possible. The system must recover at least 90-95% of the water.
• Cleaning efficiency: The system must effectively remove pollutants (organic matter,
chemicals, biological pollutants) and maintain water quality standards that are appropriate
for agricultural or aquacultural purposes.
• Stability of water quality indicators: The system must maintain stable pH, oxygen, nitrogen,
salinity, and other parameters for the normal functioning of biological processes.
• Low energy costs: Recirculating water supply devices must be energy efficient, including
pumping systems, compressors, and filtering units. Optimal energy use reduces operating costs.
• Integration with renewable energy sources: The system must support using solar or wind
energy to reduce environmental impact.
• Suitable growing conditions: The system requires a specific growing environment, such as
glass beads, rock wool, and sponges [20, 21].
• Minimizing emissions and effluents: The system must minimize the generation of harmful
waste and wastewater that can negatively impact the ecosystem.
• Process automation: The system must be automated, allowing all processes, including
treatment, recycling, and water quality monitoring, to be controlled with minimal human
intervention.
• Low operating costs: Operation and maintenance costs must be kept to a minimum to ensure
the system is cost-effective.
• Accessibility of technology: Technology must be available for widespread use in the
agricultural sector, especially for small and medium-sized farms.
3.2. Model for information system
In an information system, effective monitoring and control of various environmental factors —such
as nutrient levels, pH, temperature, and humidity—are crucial for optimal plant growth [22]. A well-
structured network topology can significantly enhance the efficiency and reliability of such systems.
Below are key components and considerations for the network topology of a hydroponic system:
• The central control unit (server). This unit manages data from various sensors and devices
throughout the system, allowing for centralized monitoring and control
• Sensor nodes are distributed throughout the hydroponic setup to monitor critical parameters
• Actuators, which control physical components of the system based on sensor data
• Router, which connected to server and Internet
• Client devices such as mobile or laptop
Star topology is selected for this system, which is shown in Figure 2. The sensor nodes and
actuators connect directly to the central control unit. This topology simplifies wiring and
troubleshooting, as each device can be managed independently. However, the central unit represents
a single point of failure [23,24]. Multiple routers are integrated to segment the network into different
zones or subnets. Each router connects to the central hub and manages its own set of devices, such
as computers, cameras, and sensors.
Figure 2: Network topology of the developed system.
Devices within the network connect to their respective routers using Ethernet cables or wireless
connections. Each router serves as an access point, allowing devices to communicate with one
another and the central hub.
These sensors help automate processes, ensuring that plants receive the right conditions for
growth. Below are the common types of sensors used in information systems: temperature sensors,
pH sensors, humidity sensors, and light sensors [25].
Once these sensors collect data, they must transmit it to a central control system for analysis and
action. WebSocket provides a reliable and efficient method for this real-time communication. The
sensor data is sent to the server in real-time using the established WebSocket connection. Since
WebSocket allows full-duplex communication, the client and server can send and receive messages
simultaneously. The server can also send commands back to the client or actuators (like pumps or
lights) to adjust the environment based on sensor readings. This feedback loop is crucial for
maintaining optimal growing conditions. Users can monitor the sensor data in real-time through a
web application or mobile interface connected to the server, allowing for convenient oversight of the
hydroponic system.
Cron jobs are used as tools for automating scheduled tasks to the cloud storage. In the context of
these information systems, cron jobs can be employed to synchronize sensor data with the cloud at
specified intervals. This ensures that the latest data is regularly updated without requiring manual
intervention.
Storing historical data in the cloud is crucial for hydroponic systems as it allows for long-term
analysis, trend identification, and decision-making based on past performance. For this system, use
CSV file format. CSV files tend to have a smaller file size than other formats (like JSON or XML),
especially for large datasets with repetitive values. This can lead to reduced storage costs in cloud
environments. The simplicity of CSV files leads to lower processing overhead in terms of both
storage and computational resources. This is especially important for small to medium-sized
hydroponic operations that may not have extensive infrastructure. Also, it does not enforce strict
schema requirements, allowing you to add or remove fields as necessary without complex schema
modifications. This flexibility can benefit evolving hydroponic systems where new sensors or
parameters may be introduced.
The model aims to unify the design and set up optimal lighting for specific crops. This result is
achieved by the fact that the lighting system consists of 4 linear lamps with a radiation spectrum of
350-800 nm, 50 W, and the height of the lamp is 600...650 mm for uniform illumination of the useful
area of the tray with vegetative crops.
The common features of the applied device are a tank, a light source, a compressor, an air sprayer,
a piping system, a pump, a thin layer settling tank, and a plant cultivation tank.
A distinctive feature of the device is that the lighting system consists of 4 linear lamps with a
radiation spectrum of 350-800 nm, 50 W, and installation height of 600...650 mm for uniform
illumination of the useful area of the tray with vegetative crops.
The utility model is explained graphically, where Figure 3 shows a diagram of a recirculating
water supply device for growing agricultural products [26].
Figure 3: Scheme of the proposed hydroponic system [26].
A recirculating water supply device for growing agricultural products has:
1. Tank
2. Mechanical filters
3. Biological filters
4. Pump
5. Tanks with plants (lettuce leaves, strawberries, vegetables, etc.)
6. Ozonation unit
7. Ozonator
8. Aeration unit
9. Clean water supply line
10. Light source
The tanks for plant cultivation are equipped with a light source consisting of four linear lamps
with a radiation spectrum of 350-800 nm, 50 W; the height of the lamp is 600...650 mm for uniform
illumination of the useful area of the tray with vegetative crops.
The operating mode of the lighting system is designed to simulate natural sunlight conditions,
thereby optimizing the growth environment for plants. The system operates on a 12-hour cycle,
aligning with the natural daylight duration in many regions, ensuring plants receive consistent light
for photosynthesis. The scheme is implemented and shown in Figure 4.
Figure 4: Hydroponic system implementation: a) tank with plants; b) hydroponic module.
The lighting system incorporates an 'east-west' mode to mimic the gradual increase and decrease
of sunlight intensity during sunrise and sunset. This mode involves two transitional periods: one at
the start of the lighting cycle, simulating sunrise, and one at the end, simulating sunset. Each
transition lasts for one hour, during which the light intensity gradually changes.
At the beginning of the lighting cycle, the luminaire's power output increases steadily from 0 W
to 200 W over the course of one hour, simulating the gradual rise of the sun in the morning. This
allows the plants to adapt to the increasing light intensity, reducing the shock that could occur with
a sudden increase in brightness. The 200 W power level represents the peak output of the luminaire,
equivalent to full sunlight during the day. This level is maintained for the duration of the active light
cycle, providing a stable and optimal environment for plant growth.
As the day progresses and the 12-hour lighting period ends, the system initiates the sunset
simulation. Over the course of the final hour, the luminaire's power output gradually decreases from
200 W to 0 W, mirroring the natural dimming of light as the sun sets. This gradual reduction in light
intensity allows plants to adjust to lower light levels, preparing them for the nighttime phase. This
dynamic lighting approach not only enhances plant growth by providing a natural-like light
environment but also reduces energy consumption by avoiding unnecessary high-intensity lighting
during transitions. The smooth transitions between light intensities minimize plant stress, promoting
healthier growth and better yields. Additionally, by simulating the natural light cycle, the system
supports the circadian rhythms of both plants and the ecosystem within the controlled environment,
leading to more efficient use of light energy and overall improved agricultural productivity.
Tank 1 is filled with water, and the water enters tank 5 (where lettuce leaves, vegetables, etc. are
cultivated), installed with a height difference to ensure water overflow. Tanks 5 for cultivating plants
are equipped with a light source 10, which consists of four linear lamps.
Water enters the mechanical two and biological three filters from the tanks, after which the
purified water is pumped by pump 4 to columns 6,8, where it is ozonated and enriched with oxygen-
aerated. After passing through successive levels of purification, the water enters tank 1. During the
entire cycle, at each stage, the plants “accumulate” the required substances, and the water is
gradually purified by filters and circulated back to tank 1.
The system's reservoir is filled with water and then directed to the tanks where crops such as salad
leaves and vegetables are grown. The tanks are arranged in a cascading pattern with a height difference
to ensure the gravitational flow of water between them. This makes it possible to effectively use the
natural water flow to irrigate crops evenly without additional energy consumption for circulation.
Figure 5: The spectral composition of the lamps: a) HPS GAVITA PRO DE 1150w b) PHILIPS green
power led top light drb hb 400v 230w c) Both composition.
After passing through the plant tanks, the water enters a mechanical filter, where large particles
are removed. The water then enters a biological filter and is biologically purified using special
microorganisms that neutralize organic impurities. The purified water is pumped to the columns,
where it is further processed: ozonation and oxygen saturation (aeration) occur in the columns.
Water's Ozonation helps disinfect it, and aeration increases the concentration of dissolved oxygen,
which is important for plants and microorganisms in the system.
Once this process is complete, the purified water is returned to the tank, completing the
recirculation cycle. At each stage of this process, the plants absorb the necessary nutrients, and the
water is purified gradually through filters and plant media, ensuring the system's stable and efficient
operation. The lighting system consists of 4 linear lamps with a radiation spectrum of 350-800 nm,
with one common 200 W power supply, made of an aluminum profile on which 30 cm long LED
boards with built-in white 3528 LEDs with a color temperature of 4000K and red 3030 LEDs with a
wavelength of 660 nm, manufactured by seul semiconductor, are installed. The spectral composition
of these lamps was derived experimentally and is shown in Figure 5. To provide uniform illumination
of the growing surface, it is necessary to use lighting devices with a power output of 50 W, mounted
at a height of 600-650 mm. This height allows optimal light distribution over the entire growing area,
facilitating uniform plant development and maximum photosynthetic efficiency.
By investigating the effect of different lighting spectra in hydroponic systems with the same
nutrition and comparing the results with other sources, it is determined that the effectiveness of the
developed spectral composition is based on the combination of the spectra of HPS and two peaks of
photosynthetic efficiency. This combination of the spectrums complements each other, which allows
photosynthesis to proceed as efficiently as possible. This spectrum is complete because it provides
optimal coverage of all the key spectrums necessary for healthy plant growth. This helps to increase
productivity and energy efficiency in hydroponic systems. Table 1 shows the characteristics of the
spectral composition in Figure 5.
Table. 1
The characteristics of the spectral composition
Characteristic name Description Value
PAR(mW/cm ) 2 Photosynthetic active radiation 3.547
PPFD (umol/ m2/s) Total photosynthetic photon flux density 166.425
PPFD_UV (umol/ m2/s)) Photosynthetic photon flux density in the UV spectrum 0.096
PPFD_B (umol/ m2/s) Photosynthetic photon flux density in the blue 23.739
spectrum
PPFD_G (umol/ m2/s) Photosynthetic photon flux density in the green 70
spectrum
PPFD_R (umol/ m2/s) Photosynthetic photon flux density in the red 73,2
spectrum
PPFD_FR (umol/ m2/s) Photosynthetic photon flux density in the near- 3.524
infrared
PPFD_IR (umol/ m2/s) The flux density of photosynthetic photons in the far- 0.254
infrared range
Kppfv(umol/s/klm) Photon/lumen ratio 14.855
YPFD(umol/n/s) Output photon flux density 152.551
EchA(mW/cm2) Radiation energy at the beginning of the 350 nm range 0.000
EchB(uW/cm3) Radiation energy end of the range 1050 nm 0.000
Ep(mW/cm2) Radiation energy in the fg zone of 525 nm 3.069
Eb(mW/cm2) Radiation energy in the fr zone of 445 nm 0.620
Ey(mW/cm2) Radiation energy in the fg zone of 660 nm 1.497
Er(mW/cm2) Radiation energy in the fg zone of 630 nm 1.366
Euv(mW/cm2) Radiation energy in the fg zone of 395 nm 0.003
Efr(mW/cm2) Radiation energy in the fg zone of 880 nm 0.000
Ec(mW/cm2) Radiation energy in the fg zone of 750 nm 0.000
Erb Ratio Measurement stability ratio 2.204
E(lx) Light intensity in lux 3648
Candle E(fc) The light intensity in candelas 437.33
ССT(K) Light color temperature 3650
Ra Color rendering index 87.5
Ee(mW/cm2) Total radiation energy 3.646
S/P Light to shadow ratio S/P 1.576
Dominant(nm) Dominant wavelength 580.20
Purity(%) Spectrum purity 35.6
HalfWidth(nm) Half spectral width 154.5
Peak(nm) Peak of the spectrum 659.8
Center(nm) Central wavelength value in the spectrum 592.8
After a series of experiments, the table demonstrates a comparative characteristic of the efficiency
of the LED lighting system in the same climatic conditions for the same plant variety, with the
difference in photoperiod of illumination. The spectral composition of the lighting allowed the
reduction of the photoperiod to 12 hours. It thus introduced a 12/12 (day/night) light culture cycle,
which will save electricity without losing the biochemical composition of the plant (see Table 2).
A distinctive feature of the claimed device is that the lighting system consists of 4 linear lamps
with a radiation spectrum of 350-800 nm, 50 W power, and lamp installation height of 600...650 mm
for uniform illumination of the useful area of the tray with vegetative crops. The derived spectrum
makes it possible to 1) save up to 25% of electricity consumption without losing quality and quantity
characteristics, 2) reduce the number of hours of illumination, and 3) be placed in cost-effective
climatic conditions.
Table. 2
The characteristics of basil grow experiments
Temperature °C Humidity % Light Intensity umol/ Lighting period h Source
m2/s.
20 60-70 166 12 Current
20-25 60-70 200-300 14-16 [27]
18-26 60-70 100-300 12-16 [28]
22 60-70 350-370 14-16 [29]
22-26 60-70 300-400 16 [30]
By incorporating these features, the device represents a significant step forward in sustainable
agricultural technology, supporting economic and ecological goals. This approach highlights the
potential of integrating science-driven solutions into modern farming practices, paving the way for
more efficient and sustainable food production systems.
4. Conclusions
In this article, an information system model aimed at increasing the efficiency of agricultural
production in line with the principles of sustainable development was developed. Studies have shown
that optimized hydroponic technologies contribute to more efficient use of water and energy
resources, minimizing environmental impact.
The system allows for continuous monitoring of environmental parameters (pH, temperature,
humidity) in real-time. The developed information system for hydroponics provides many
advantages that significantly enhance the management and productivity of growing operations. By
leveraging real-time monitoring, data analytics, and automation, farmers can optimize their
processes, improve yields, and contribute to more sustainable agricultural practices.
The basis of the developed utility model is the task of unifying the design with the possibility of
replacing the tanks during the growing season, increasing the useful area for growing plants, and setting
up optimal lighting in accordance with the needs of specific crops. Water is added only as it is absorbed
by plants, evaporated or removed from the system. The developed utility model will be reproduced
repeatedly and will be used as a device for recirculating water supply in agricultural production.
This approach aligns with global efforts to balance food security with environmental stewardship,
contributing to reduced greenhouse gas emissions, efficient resource utilization, and developing
resilient agricultural systems. As such, this technology represents a significant step forward in
achieving sustainable development goals in agriculture.
Declaration on Generative AI
The authors have not employed any Generative AI tools.
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