Jun 16 2019
How Does the Digital Transformation in Agriculture Occur?
Why do fields and dairy farms not "love" IT?
Historically, the high cost of solutions and their components hampered the wide use of technologies in agriculture. As a rule, technology solutions for farms were distinguished by their large size and high-energy consumption. This all led to difficulties in the organization of service and repair. And it is critical for agriculture, where equipment is often operated in rough conditions.
However, the possibility of fully automating work in the field has existed for a long time. The problem lies in the economic dimension of such decisions. Today the situation has changed and real assistance in agriculture can be obtained using a small drone and a smartphone for control. However, it is only possible when we talk about simple monitoring tasks. Managing a farm, planting or harvesting using a tablet – doesn’t work without specialized solutions and technology. Thanks to the spread of simple solutions, complex ones gradually lose in value and become affordable.
The farm on the smartphone
It is possible to manage entire farms via smartphones, and it’s no longer an idea of the distant future, but the reality of the modern world. This is a normal practice, and it is technically not as difficult to do, as it may seem at first glance. To automate the process of animal housing, special systems are used to control humidity and temperature, air velocity, lighting, feeding, and watering. More sophisticated and modern equipment can reduce the need for labor. Besides, people tend to make mistakes, but cars do not. Nevertheless, it is necessary to take into account a number of aspects. It is important to understand how timely and appropriate the introduction of new technologies is and whether it can pay off.
Here is a real case: about 10 years ago, an owner of one of the largest agricultural holdings in Europe saw a sausage factory in Bulgaria that had almost no employees. Last year, a similar plant opened in one of the EU countries. Of course, the project is interesting, the factory is unique, but it will be paying off for at least ten years.
For a long time, agriculture was not an attractive area for investment. Potential investors were frightened by a long production cycle and the fact that natural phenomena could lead to crop losses, and it was impossible to automate biological processes.
Today automation and digitization of agriculture are attracting more and more investments, since automated production implies a predictable level of costs. Meanwhile, labor is expensive because of taxes, and it involves unpredictable expenses. Not surprisingly, many enterprises aim for modernization and move from manpower to machine labor. The main problem in this field is a long payback on the cost of production automation.
The farm of the future
This year in March, World Agri Tech Innovation Summit 2019 took place. The conference has been held twice a year since 2013 and is considered one of the main events in the ag-tech (agrotechnology) industry. This is a meeting place for international investors, promising startups, technology giants and leading companies in the agro-business field. The summit brings together experts discussing best practices, innovative developments, and opportunities for their commercialization. According to the moods, trends and innovations that have already appeared and will soon spread to the agricultural sector, we can say that a “farm of the future” managed via a smartphone is a question of three, maximum five years.
One of the trends is the use of artificial intelligence and machine learning methods to analyze the situation in the field. It is believed that particularly sensitive sensors can be installed on irrigation systems, or on quad bikes and agricultural equipment in the form of receivers, not to mention drones and compact satellites. Data collected by these sensors will be digitized and transmitted either to cloud servers or special hubs, where AI will analyze the information received about the soil condition, the presence of harmful insects or the first signs of plant disease, and then transfer the analysis results with further recommendations to a farmer's tablet or smartphone. The second point is the autonomous operation of robotics. After the analysis, it is not the farmer himself who is going to irrigate a specific arid part of the field, spray pesticides or fertilize the field, special equipment or drones will go instead. The third trend is the unmanned vehicles. That is, after all mentioned above, the farmer approves the recommendations proposed by the system on a tablet or smartphone and authorizes the equipment for further independent actions. Therefore, a quad bike or a tractor independently navigated by a GPS system or a farmer, at this moment lying on the couch, moves to a specific part of the field to solve the encountered problem.
All mentioned above is a question of a few years, as companies are already creating and testing prototypes for these purposes. Moreover, preliminary numbers for the purchase, establishment and maintenance of such decisions have already been provided. There is even a digital platform that simplifies the process of buying and selling seeds, crop protection agents, and fertilizers. It allows automating the search for suppliers, purchasers, providing additional channels of communication with colleagues or receiving consulting support from manufacturers. All these services are now available in a single application installed on a user's smartphone or computer.
What is working today?
Today, agriculture successfully uses drones and AI software solutions for crop planning. It allows effective distribution of the free area for planting crops and taking into account the specifics of each area for growing certain crops. Another innovation is the cloud-based monitoring of pumping stations of water supply systems in agricultural complexes and small farms that deal with crop production, livestock, and poultry farming. It is possible to manage the water supply system via a smartphone, tablet, or desktop.
At the same time, the system monitors over 100 parameters of the pumping station in the agricultural complex (farm) and warns of important changes, it can customize and archive parameters. Due to this, the system optimizes the technological process, efficiently uses energy resources, and reduces the cost of water supply.
Another solution is relevant for farms and allows using AI and IoT together in agriculture. It deals with the logistics of livestock. Special devices that feed cows, track not only the parameters of animal health, but also their daily activities. These parameters allow the prediction of the quality and volume of milk produced in a better way.
The machine vision is also applied in agriculture. For example, a startup Aquabyte taught the computer how to feed fish on a specially designed farm. Machine vision and AI allowed optimizing the use of feed, as well as improving the quality of the living condition of fish.
The solution of Soft Robotics is among the latest IT innovations in agriculture. The company produces robotic arms with soft grips that can be used to handle delicate items such as fruits and vegetables in processing plants.
What awaits agriculture tomorrow?
Although a bit late, technologies are being introduced to agriculture. Since 2017, funding in the agrotechnology field has been growing due to investments. Compared to 2016, the inflow of investments increased by 32% to $ 2.6 billion, and 10 largest technological startups in agriculture attracted $ 50 million in private investment. The reason for the increase in the level of technological effectiveness in agriculture is that the Earth population is constantly growing, which means that we need technologies that will allow us to quickly produce products for people. In this regard, it is expected that the total industry performance will grow by 60% by 2030, and it will require technology implementation in all areas.
Jun 9 2019
Artezio Is Among Top 10 Java Developers 2019
“There are a few companies that differ by their expert approach to software development on Java. Certainly, it’s very difficult to distinguish the best ones from them. To successfully implement a project, you need to hire an experienced team with an Analyst, Java Developer and Project Manager, and QA Team. We want to simplify the business goal of choosing a reliable partner and have made a list of Top 10 Java Developers in 2019. Java developers with a huge expertise got into this list”, say the rating authors.
According to the analysts’ opinion, Artezio ranks second in Top 10 Java Developers with a small margin from the leader.
Evaluating Artezio’s abilities, the analysts stated that “expertise in different technologies, programming languages, and operating systems and huge experience in big data allow Artezio to create the most flexible and cost-saving business solutions”.
Company information Artezio
Since establishment in 2000, Artezio has completed over 1000 projects for its international corporate customer base. The time and effort of the most experienced developers is also invested in R&D activities, including but not limited to AI, ML, and blockchain.
As a senior-level technology company we continuously strive to gain expertise and stay on top of the curve of innovation.
Our competences include:
- Enterprise application development
- Business process automation software based different BPM engines (Activiti BPM, jBPM)
- High loaded based SOA system development using both whole JEE stack (CDI, EJB, JPA, JSP, JSF, JMS, SOAP, REST) plus related frameworks(Spring, Seam) and whole .Net stack (ASP.Net MVC, WPF, WCF)
- Portal solutions based on Liferay Portal , Sharepoint WSS/MOSS, WebLogic Portal, WebSphere Portal
- Integrations solutions using ESB (OSB, Oracle ESB, IBM WebSphere ESB, JBoss ESB), Spring integration, MSMQ, eMule
- System based reporting Jasper, BIRT, Pentaho, SQL Server Reporting Services
- Large, distributed systems and highly-scalable network servers using GoLang
- Cloud based solutions (Azure, Amazon)
- Big data related technology
- Database analysis and BI (Pentaho, Oracle BI)
- NoSQL databases (Cassandra, MongoDB, CouchDB)
- Search engines (Elastic search, Apache Solr, Sphinx)
- Intellectual Data Processing (Apache Lucene, Apache Mahout)
- Distributed Compilation (Apache Hadoop, Apache ZooKeeper)
- Mobile and web development services.
At Artezio do not believe in "one-fits-all" solutions, so individual approach, proven Agile-based customer collaboration frameworks, flexibility of the development process, and MVP delivery model ensure that Customers always get the product which meets market requirements.
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Key figures Artezio
Mr. Dmitry Rodionov
Deputy MD/Chief Operating Officer (COO)
- Service provider
Other classifications (for some countries)
NAICS (US 2012) :
Custom Computer Programming Services (541511)
SIC (US 1987) :
Computer Programming Services (7371)
How Does the Digital Transformation in Agriculture Occur?