Features of the Development of Industry 4.0 in the Agro-industrial
Complex
J. V. Idrisova
1a
, E. R. Guzueva
1
and R. I. Akhyadov
2
1
Kadyrov Chechen State University, 32 Sheripova Street, Grozny, Russia
2
Grozny State Oil Technical University named after M.D. Millionshchikov, Grozny, Russia
Keywords: Agriculture, industry 4.0, agriculture, digitalization.
Abstract: This article is devoted to the peculiarities of the development of industry 4.0 in the agro-industrial complex,
analyzes current trends and prospects for the development of the application of industry 4.0 in the agro-
industrial complex. Currently, environmental conditions are changing at a high speed and, as a result, an
important factor in increasing competitiveness is the optimization of business processes. This issue can be
solved with the help of digitalization of agricultural production.
1 INTRODUCTION
Few companies in this industry are willing to invest
in the digitalization of agriculture. There are a number
of reasons for this fact: enterprises are not ready to
take risks by introducing innovative products in
production, fearing that the installed product,
equipment, software will not pay off. A large number
of solutions cost a fortune, and in addition to
purchase, installation, there can be expensive
maintenance.
A significant factor that hinders the development
of digitalization in the agro-industrial complex is that
the product developed by the company is not finalized
on the spot individually for the enterprise. Each
manufacturing enterprise has its own differences, the
same product will not be a "panacea" for all
companies, it needs to be improved.
The five main issues that will affect global
agriculture and the food chain in the future will be:
demographics, limited resources, climate change,
food waste, government policies (Bondar, 2018).
With population growth, fertile farmland is
expected to decline.
According to the FAO (Food and Agriculture
Organization), soil quality is deteriorating
everywhere due to excessive use of fertilizers,
deforestation and climate change due to global
warming (Tuskov, 2018). By 2050, the amount of
a
https://orcid.org/0000-0001-6962-9593
arable land per person is projected to be a quarter of
the total available in 1960.
By 2050, 2.4 billion people will be added to urban
areas, and this will help develop city farming, the
refrigeration market and cold store chains, as well as
lead to an increase in demand for processed food and
protein products.
Already today, farmers face the problem of
urbanization. And that raises an important question:
who is going to farm in the future, when climate
change may make it even more difficult to grow rich
crops on depleted soils?
In addition to urbanization, another major
challenge facing society is an unbalanced food value
chain. Food waste is what leads to imbalances in the
food value chain in agribusiness that is virtually non-
existent in other industries. Over 30% of food is
wasted every year, and 800 million people go to bed
hungry every night.
Therefore, the main goals of agriculture 4.0
include balancing between food production and
consumption. Agriculture 4.0 will need to take into
account both the demand side and the supply side of
the value chain in the food scarcity equation.
In general, agriculture 4.0, the coming agricultural
revolution, must be sustainable, based on the
achievements of science and technology, use
sophisticated technologies such as robots,
temperature and humidity sensors, aerial
84
Idrisova, J., Guzueva, E. and Akhyadov, R.
Features of the Development of Industry 4.0 in the Agro-industrial Complex.
DOI: 10.5220/0011555100003524
In Proceedings of the 1st International Conference on Methods, Models, Technologies for Sustainable Development (MMTGE 2022) - Agroclimatic Projects and Carbon Neutrality, pages
84-87
ISBN: 978-989-758-608-8
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
photographs, GPS technology, and so on
(Shestakova, 2019).
2 MATERIALS AND METHODS
Business owners largely refuse to introduce
innovative solutions for agro-industrial production
because when installing new digital equipment, it
may be necessary to train employees to work on a
particular equipment or program; hiring additional
employees. New hardware or software may not
"match" existing hardware.
However, in Russia there are solutions for
digitalization in the field of agro-industrial complex,
which help to increase production efficiency and
guarantee payback (Shestakova, 2019).
The Russian company Matler has developed an
innovative solution based on computer vision and
neural networks, which makes it possible to increase
the efficiency of manual labor in conveyor
production. Morigan.Lean - allows you to keep an
online record of the actual output of an employee to
motivate employees for results.
The system provides online control of
intermediate and final results of order fulfillment: if
an employee of the conveyor fails to comply with
production standards, the production director receives
information about deviations (sms, email). The
system allows you to increase labor motivation, since
payroll depends on actual output. The development
allows you to increase the efficiency of the agro-
industrial complex with existing resources.
The software has an intuitive interface that allows
you to quickly learn how to use the system. The
system allows the shift foreman to automatically
generate a report for each employee.
The system has already been implemented at
several poultry farms. During the use of the solution,
the productivity of employees increased by 50% in
conveyor production; the speed of the conveyor has
been increased to the maximum with a simultaneous
reduction in the number of employees involved. The
released people were moved to other areas.
Today, the optimization of business processes
with the help of digital technologies is the basis of a
competitive advantage for agro-industrial enterprises.
The development of agriculture will largely
depend on the development of geographic
information systems (GIS), remote sensing (RS) and
global positioning systems (GPS).
Combined with indicators such as yield, quality
and disease prevalence, they can indicate the most
appropriate intervention in a given area. In addition to
assisting in farm management, they can be used by
consumers to determine the origin of products
(Minchichova, 2020).
This is the real starting point for agriculture 4.0.
Modern agriculture works by using data from various
sensor technologies to improve the accuracy and
efficiency of farming.
Depending on the nature of the task, human
intervention may no longer be required. Sensors can
range from imaging technologies to GIS and
equipment sensors. Others, such as smart crop
sensors, can analyze variables such as water, soil
electrical conductivity, altitude, organic matter
content, soil nitrogen, and pH.
Potential applications are numerous, such as
warning producers of unexpected frosts. Asparagus
farmers in California are using smart sensors to
double their yields while reducing water use by 6%.
On-farm data can be used to plan the movement of
agricultural goods to reduce soil compaction.
Harvesting can be improved by synchronizing the
movement of vehicles. At the field level,
environmental data can be used to ensure proper
fertilizer levels, cost savings and pollution reduction.
Combined with developments in automation, this
information revolution could very well lead to
minimal human intervention. Implementation of
precision farming requires new hardware and
software, including robots.
They range from systems with limited mobility
such as robotic parlors to AgBots that perform field
tasks such as seeding, weeding or spraying. Some, of
course, are already on the market. Smartphone
controlled manure robots have been used for several
years at Coleg Llysfasi, Ruthin. There are also
automated pasture grazing systems.
They use solar-powered bot pairs to move lines of
electrical fence equipment, communicating with each
other via Bluetooth to maximize pasture use. Feeders
can be programmed to deliver different feed mixes to
livestock at a given time, and AgBots weeders can
automate tedious tasks like harrowing. This type of
artificial intelligence (AI) will lead to even greater
efficiency and could lead to new farming practices
based solely on data.
The ability of devices to work in automatic mode
will be determined by their ability to interact both
with each other and with data centers. As controllers
of these devices, future farmers will need systems that
allow them to collect and analyze data and initiate
tasks. Such IoT-enabled control systems are already
under development, such as Agrivi or BovControl.
They also exist for collaborative supply chains
such as Farmers Web. These systems interact with
Features of the Development of Industry 4.0 in the Agro-industrial Complex
85
cloud data stores to archive, retrieve and compare
data. In the future, this data will be integrated with
inventory, financial and business planning data to
give farmers an overall view of their business.
3 RESULTS AND DISCUSSION
Regardless of the presence of robots and artificial
intelligence, agricultural machinery will continue to
improve. Modern tractors are already equipped with
modern on-board computers for processing GPS, GIS
and remote sensing data. The next step is fully
autonomous or controlled driverless tractors
equipped with sensors and cameras to monitor the
condition and health of plants. As agricultural
equipment is likely to be equipped with a wider range
of accessories in the future, making it larger and
heavier, new components are being developed, such
as highly flexible tires and more efficient engines.
These advances will enable businesses to improve
profitability without compromising the environment.
Agriculture 4.0 must strive to become
independent of vast amounts of fresh water, synthetic
fertilizers and pesticides. Thanks to science, farmers
will be able to grow crops in drylands and tap into a
range of undervalued resources, such as seawater for
crops[3,4].
Finally, city farming will increase its presence in
the agro-industrial complex with new farming
methods (vertical farming, hydroponics, aquaponics,
insect farming, algae farming, cultivated meat, etc.).
The good news is that digital and technological
advances are making urban farming more affordable.
Every year, new agricultural technology startups
enter the market. Business leaders Bill Gates, Richard
Branson, Jack and Susie Welch, along with venture
capital firm DFJ (known for its investments in Tesla
and Twitter) and food conglomerate Cargill, have
invested in Memphis Meats, a pioneering lab-grown
cultured meat company. And the SoftBank Vision
Fund, led by Japanese billionaire Masayoshi Son, has
invested millions of dollars in vertical farming
startups.
Technology giants such as CNH, John Deer,
AGCO, Mahindra, Bosch, Mahindra, Kubota,
Trimble, Topcon, etc. have invested millions of
dollars in precision farming technology, automation
and data analytics.
Agricultural machinery manufacturer CNH
recently added precision technology to its portfolio in
response to growing demand for precision farming.
The technology enables real-time soil monitoring,
weather monitoring, data collection for sustainable
weed control solutions, and helps the farmer make
important decisions (Ivonin, V. M., 2009).
Artificial intelligence has various applications in
agriculture, ranging from computerized water
systems and driverless (autonomous) tractors /
combines to a farm planner: fertilizer and plant
protection stock management, agronomic research,
equipment optimization, financial accounting - all in
one place!
If we go back and look at the history of the
development of agriculture, we will see that the main
driving factor in agribusiness, as elsewhere, is
profitability. Digitalization and robotization meet this
requirement.
Using a simple tablet, you can manage the entire
farm: control the operation of tractors, inspect cows
in a remote pasture by sending an agricultural drone
there, program irrigation, and perform field mapping
for optimized localized fertilization (Polyakova,
2011).
Smart farming is a way to increase productivity
and protect the environment, which is so often said.
Here is a recent example. In 2019, New Holland
(part of CNH) introduced the world's first mass-
produced T6 methane tractor at AGRITECHNICA
2019 and won the 2020 Green Tractor of the Year
award.
4 CONCLUSIONS
It is worth noting that national governments must
understand the importance of the new agricultural
revolution and structure state support measures in
such a way as to benefit every level of farmers.
It doesn't matter the type of farm, whether it's row
crop farmers in the US or Brazil, mid-sized European
grain farmers, or small farmers in developing
countries like India or Mexico.
For example, agriculture 4.0 in Asia or Africa will
not soon become a reality without a special plan and
government support, since most peasant farms are far
from even 100% mechanization and are now at the
level of agriculture 0.
Governments, and especially those in developing
countries, could revitalize the agricultural industry by
helping farmers innovate and achieve self-sustaining
production. In the modern world, it is not the import
of food products that is appropriate, but the import of
innovations and technologies.
“Digitalization can increase yields by 10-30%,
reduce costs by 5-15%, and these are quite
conservative estimates. Without taking into account
the depreciation of the purchased equipment,
MMTGE 2022 - I International Conference "Methods, models, technologies for sustainable development: agroclimatic projects and carbon
neutrality", Kadyrov Chechen State University Chechen Republic, Grozny, st. Sher
86
profitability can be increased by two or three times,”
Maxim Nikitochkin calculates. Despite the inevitable
increase in manufacturers' expenses for technical re-
equipment, the costs will be recouped in a short time.
“In developed countries, the use of such
technologies makes it possible to save 5–10% on
costs and increase yields by more than 10%,” Anton
Vinogradov gives a close assessment. “Given the
current stage of technological development of
domestic crop production, the expected effect from
the introduction of such solutions in Russia is
significantly higher,” the expert believes.
Already at the initial stage, many enterprises can
save 25% due to relatively simple techniques that are
not even directly related to business digitalization.
These are the optimization and standardization of
business processes, training and development of
personnel, the introduction of a lean manufacturing
system, effective models for managing purchases and
stocks, and optimizing logistics routes (Porfiriev, B.,
2010).
This also includes measures to monitor
equipment, reduce its downtime and fuel costs.
The transformation of the industry will take time:
small enterprises operating in the old fashioned way
are still relatively competitive, including due to cheap
labor. In addition, it is necessary to ensure an
acceptable level of Internet penetration in Russian
villages, as required by the integration of the agro-
industrial complex into Industry 4.0.
The degree of development of industrialization
and the widespread introduction of new technologies
unquestioningly lead to the transition of the world
into a new digital era. This period is characterized by
the rapid development of high technologies,
penetrating into all spheres of our lives. The
widespread use of cloud technologies, the Internet of
Things (IoT), virtual and augmented reality, 3D
printing, the development of quantum technologies,
robotics and other technologies as a result has become
the driving force behind the Fourth Industrial
Revolution, also known as Industry 4.0.
The conducted study allows us to conclude that
the digitalization of the agro-industrial complex will
entail the release of better products. In addition,
"Industry 4.0" will lead to the creation of more
flexible systems, the participants of which will
exchange information via the Internet, which in turn
will significantly increase labor efficiency and reduce
costs in production processes.
Digitalization is an absolutely logical process that
takes place in all areas of the economy: in marketing,
retail, and service (
Nikoláeva, L. B., 2018). Modern
information systems and neural networks will be able
to analyze more factors and significantly increase the
efficiency of any business process. Of course, this
also applies to agriculture.
Any agricultural producer in a competitive market
faces two main tasks: to minimize the cost of
production and increase the net income received,
while maintaining product quality at a consistently
high level. To solve them, at all stages the production
process must be fully manageable and transparent.
For example, you need to clearly, step by step track
the value chain for each unit of production. To do this,
a single information space is being created at an
agricultural enterprise, where high-tech equipment,
analytical and management IT systems exchange data
non-stop.
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