Smart Farming is a family of products for managing resources and processes of crop production enterprises implementing technologies of precision farming

Our publications on Smart Farming (in English)

Our publications on Smart Farming (in Russian)

I-Can-Farm — Web-system for digitization of plant production enterprises (version 2.14.38)

Purpose

The system is designed for automation of management processes of plant production enterprises, by digitalizing the main enterprise resources (fields, equipment and others), creating their «digital twins» and manually managing the main production operations using modern web-technologies.

The proposed system is created as a basic digital web-platform for further build-up by “smart services” that will automate decision-making processes of farms, primarily for continuous monitoring of fields and operational resource management, as well as business analytics of enterprises in real time.

Application

The developed system is offered to plant-growing enterprises as a SaaS with payment by monthly subscription. It does not require significant investments or any specific computer skills.

It will be useful to top management of enterprises, agronomists, machine operators, logistic services and other specialists of large, medium and small farms, as well as individual farmers.

System Functionality

The main functions of the system allow users to enter the main enterprise resources and then perform all the main operations, including:

  • Data base of field passports – section-based field maintenance, integration with the federal land registry, land registration (ownership and lease), boundaries and relief of field sections, soil and agro-chemical analysis data, processing history;
  • Planning of crop rotation — making decisions on the choice of crops, calculating costs and possible profits down to the level of each field and taking into account application norms for fertilizers and plant protection products;
  • Maintaining machinery fleet – to the level of each equipment unit, saving data on repairs;
  • Regular space monitoring of fields – every 2-3 days, free of charge with a slight delay of 5 days or in real time for a small additional payment;
  • Local monitoring using drones – single drone landing in the center of the field for accurate detection of the situation in hard-to-reach places and in the midst of plants or a swarm of drones for effective coverage of large areas (with flight planning, modeling and management, automatic image stitching service, data storage service, etc.);
  • Initial or periodic retrospective analysis of field history to identify potentially problematic zones and any types of uneven plant growth and development;
  • Online monitoring of machinery based on GPS/GLONASS sensors for control of deviations from the route and work schedule and fuel consumption;
  • Integration with 1C-Agro and other systems to account for work performance and upload the turnover balance sheet.

System Architecture

The developed system has a web server architecture and works in all the main browsers such as Internet Explorer, Google Chrome and others. It also integrates with other systems (1C, etc.) via API or data transfer.

Advantages of the Solution

  • Reducing complexity and labor intensity of resource management;
  • Recording and controlling the use of resources;
  • Full 24/7 transparency of the enterprise for the owner and management;
  • Enterprise data is stored in one place accessible to all employees via a secure cloud;
  • Convenience, visibility and ease of use for specialists of the enterprise;
  • Web-interface for remote access from any geographically remote places.

Developer: “Smart Solutions” Software Engineering Company / “Knowledge Genesis” Group of Companies

Office 1201, 17 Moskovskoe shosse, Samara, Russia 443013

Phone: +7 (846) 279-37-74 www.smartsolutions-123.com en.kg.ru

 

Learn more about I-Can-Farm

Smart Farming – digital platform and eco-system of smart services for precision farming (under development)

Purpose

The system is designed for decision-making support of crop production enterprises engaged in development and implementation of precision farming technologies.

The main purpose of the system is to support the selected precision farming technologies, adaptively and flexibly maneuvering resources, taking into account plant development and growth conditions and their changes, minimizing dependency on the competences of specialists. In the long term, the key objective of the system is implementation of unmanned technologies in management.

The system is developed based on the I-Can-Farm web-platform and includes a number of “smart services” that allow users to digitalize knowledge and automate decision-making processes of farmers for continuous monitoring of fields and operational resource management, as well as the enterprise economy in real time.

In the future, the system will operate with any cloud-based digital platforms.

AI in Precision Farming Management

Artificial Intelligence (AI) for plant management operates based on knowledge bases and multi-agent technology in order to develop consistent solutions for distribution, planning, optimization and control of enterprise resources in real time.

In this approach, a software agent is created for each element of the enterprise production system. An agent is a small autonomous software system operating based on the Knowledge Base on crop production in the interests and following the instructions of its owner (fields, crops, machinery and equipment, employees, fertilizers, plant protection products, etc.).

Arising conflicts are resolved by software agents at a virtual “round table” – just as it is usually done by the company specialists, searching for consensus of all participants, taking into account their individual preferences and limitations.

These solutions, approved by users, adaptively adjust plans of subdivisions, ensuring high operational efficiency and flexibility of business.

System Functionality

The main functions of the system allow users to quickly respond to unforeseen external events, adaptively plan the work of subdivisions and monitor and control resource use in real time:

  • Online knowledge base — contains important information about crops, soils, crop protection products and fertilizers, machinery and equipment, seeds, etc. It also presents proven methods of precision farming, adapted to the region climate. This knowledge is formalized for computer processing in the form of semantic networks and is used by agents to develop solutions. For users, this information is available in the visual Wikipedia-type form, with simple hypertext navigation and information retrieval;
  • Smart crop rotation of the year season — creating an end-to-end business plan for the whole year with analysis of available resources in subdivisions and risk assessment: from planning purchasing of fertilizers and equipment repairs — to harvesting, preserving and selling the crops;
  • Smart monitoring: the agent of each field will not only plan and provide the image to analyze the progress of plant growth and development (“before” and “after” for each important stage) or monitor the results of each important operation. It will also automatically detect and classify problem situations, notifying agronomists via their cell phones about the possible type of problem situation detected: for example, pest attack, unsown areas, soil compaction or its excessive watering by rains, etc. Thus, agronomists do not have to personally look through images of dozens or hundreds of fields;
  • Smart employees: each employee has an agent that builds operational plans for each day and adaptively changes them in case of unforeseen events. If the task cannot be solved, users do not have to transfer it manually, as it will be automatically rescheduled to another day, taking into account particularities of the situation;
  • Smart machines: every important event, from identifying pests — to rainfall forecast for the next day — will cause adaptive re-planning of routes and schedules of machinery with simultaneous “plan versus fact” control for each unit in real time. Thus, foremen and machine operators no longer have to manually rebuild plans and create daily shift tasks. Moreover, the tasks themselves can change during the day in the course of work in the fields;
  • Smart finances: agents of field financiers will assess possible costs and revenues for each field and for each culture, identify potential problems and prompt solutions, and will also further rebuild profit forecasts;
  • Smart MRO: agents of regulations and spare parts will build service plans and calculate the best time to sell certain machines, having analyzed the plans for machinery use, which are created and tuned “on the fly” taking into account all the unforeseen events;
  • In the near future, the following «smart services» will be added: fertilizers, crop protection products, seeds, machines and mechanisms, etc.

System Architecture

The developed system has a web server architecture and works in all the main browsers such as Internet Explorer, Google Chrome and others. It also integrates with other systems (1C, etc.) via API or data transfer.

Application

The knowledge base on precision farming technologies in the developed system is created primarily for wheat and other most popular plant varieties and can be modified to meet peculiarities of the region.

The developed system is offered to plant-growing enterprises as a SaaS with payment by monthly subscription. It does not require significant investments or any specific computer skills.

It will be useful to top management of enterprises, agronomists, machine operators, planning services and other specialists of large, medium and small farms, as well as individual farmers.

Moreover, the system will also be useful to developers and suppliers of elite seeds, fertilizers, plant protection products, machinery and equipment for providing remote access to fields and remote consulting.

Advantages of the Solution

  • Shift to precision farming technologies to improve environmental friendliness of production, reduce soil erosion, and increase farm efficiency;
  • Improving the efficiency of crop production farms:
  • increase of productivity of farms by 15%;
  • cost reduction by 20%;
  • reduction of fuel losses by 15-25%;
  • Solving the complex task of managing crop production;
  • Automation of decision-making processes to identify problem situations, choose problem-solving scenarios, plan and control of resource use;
  • Reduction of labor intensity of farm management by 25-50%;
  • Accumulation, formalization and integration of key knowledge necessary for making high-quality and effective decisions on crop management;
  • Increase of operational efficiency and flexibility in decision-making;
  • Reduction of reaction time (from detecting a problem to making the required decisions) by 5-10 times;
  • Accurate computation of enterprise economy in real time in the context of fields, cultures, machines, etc.;
  • Advance forecast of situation development in order to identify problem situations and risks;
  • Reduction of dependence on the human factor in decision-making;
  • Digital basis for business development without increasing the number of managerial staff.

Development Prospects

  • new result-oriented business management models;
  • computer models of plant development for creating cyber-physical systems;
  • analytics of big data and machine learning based on neural networks;
  • use of unmanned vehicles for filed protection, targeted fertilizer and pesticide application, etc.;
  • development of new models of “shared economy” for managing precision farming enterprises;
  • use of smart contracts and bitcoins, etc.

 

Developer: “Smart Solutions” Software Engineering Company / “Knowledge Genesis” Group of Companies

Office 1201, 17 Moskovskoe shosse, Samara, Russia 443013

Phone: +7 (846) 279-37-74 www.smartsolutions-123.com en.kg.ru

Learn more about Smart Farming