Do all farms need one new platform?

Clear data sources and specific transmission are needed. Existing farm, technical and accounting tools can ensure most of the progress.

How does digital data help with fieldwork planning?

Field history, workflows, observations and technical readiness help to make a work plan as well as spot the places to be checked. Data is evaluated in conjunction with existing field and weather conditions. Agronom makes decisions about cultivation actions, and the system helps to pass them on to employees and record the work done.

How do you measure the benefits over different seasons?

Separate a direct change in coordination, registration, or waiting from the biological and price result.

How do you select solutions based on the farm's cultivation method and available equipment?

The evaluation assesses what plants and under what conditions the farm is growing, how the works are planned and where the results are recorded. A field farm, greenhouse or mixed operation may require different functions. The options of available facilities and programs are checked before installation to help manage specific farm work by the selected system.

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Industry digitalisation analysis

Crops: opportunities for digitalization

Field work and costs are visible by specific field

Digital maturity Typical digital maturity Shows the level of digitalisation companies in this line of business typically operate at. The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data. A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.: medium
Digitalisation potential Digitalisation potential Shows the scale of business impact digitalisation could have in this line of business. It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions. A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.: 72/100
Biggest challenge: History of fields, crop rotations and works fragmented
Biggest opportunity: Works and costs are recorded by field or growing area

Operating model

The grain farm, garden and greenhouse have different arrangements for growing and harvesting. Data are recorded by specific fields, plantings or growing zones.

Growing of grain and oil crops in the fields

The farm plans seeding, maintenance and harvesting by field. Combines harvesting pace with transportation, drying and storage space for grain.

Gardens and outdoor vegetables

Harvest can be collected several times, sorted by quality and quickly transferred for storage or sale. The number of employees, the containers and the output shipment are important to the plan.

Seed and specialized crops

The lots are formed according to the variety, the conditions of separation and the quality requirements of a particular buyer.

Greenhouses and a controlled growing environment

Work is planned by greenhouse compartments, beds or other growing zones. The team follows the growing cycle, environmental conditions and work done for a specific zone.

Market context

The crop farm plans works by fields, crops, weather and available equipment. The result of the sale is affected by the quantity of harvest, quality, storage and contracts with the collectors. The data of the work is useful when the agronomist and the head of the farm can link them to the costs and production of a specific field.

Weather and season conditionsFor sowing, maintenance and harvesting, the timing may be short, so the plan needs to be updated quickly.
Harvest preparation for saleThe removal must be compatible with drying, sorting, storage or rapid removal options.

Workflow and responsibilities

Location and Cycle

Meet boundaries, culture and history in a true cultivation model.

Agronomic solution

Evaluate the condition and prepare the work to be applied.

Resources and Enforcement

Combine the right equipment, man and conditions and register the fact.

Harvest and Origin

To link the takedown to batch, quality and real storage or transfer.

Season Preview

Agree on utilization and economics while maintaining the boundaries of biological comparison.

Digital maturity scale

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

The plan must be comparable to the work done and the materials used. When assessing yields and costs, it is important to take into account differences in weather, soil, quality and prices.

Common digitalisation challenges

History of fields, crop rotations and works fragmented

High

Field boundaries, leases, soil surveys, crops, crop rotation, work done and yields are kept in different systems, maps and tables.

Consequences: There is a lack of reliably linked field-specific and season-specific data when planning work and costs.

Soil, plant and air data are not linked to solutions

High

Soil studies, humidity, meteorology, satellite images, plant surveys and variety data are analysed separately.

Consequences: Fertilization, watering and plant protection solutions are too late or too uniform for different outdoor areas.

Fertilization and plant protection plans do not match actual uses

High

Recommendations, warehouse stock, technical tasks, actual operator performance, weather conditions and the amount of product consumed are not connected in a single chain.

Consequences: The cost of raw materials, the risk of non-compliance and the difficulty in estimating the economic outcome of a given measure are increasing.

Technical, operator, and seasonal work plan is continuously manually revised

High

Work windows, field condition, technical performance, implements, operator qualification, fuel and repair need are planned separately.

Consequences: Optimal sowing, spraying and harvesting windows are skipped, and equipment and people wait for each other.

The causes of harvest losses are indistinguishable at the field and zone level

High

The actual harvest, quality, diseases, weeds, weather, soil, technological operations and technical data are not combined.

Consequences: Inefficient technology is repeated and it is difficult to determine where an investment in seed, fertilizer or drainage has created value.

Harvest forecast not sufficiently tied to storage and sales

High

Field maturity, harvest forecasts, harvest capacity, grain moisture, dryers, warehouse capacity, contracts and market prices are planned separately.

Consequences: During the harvest peak, logistic queues are formed, quality deteriorates and urgent and sub-optimal sales decisions are made.

The economy of the farm is seen at a general level, rather than at the field and cultural level

High

Working hours, technical depreciation, fuel, seed, fertilizer, plant protection, rent and harvest income are not accurately enough attributed to the field and season.

Consequences: It is unclear which cultures, technologies and fields are realistically creating the margin, and which are funded at the expense of other activities.

Plant protection and sustainability records are prepared manually

Medium

Product use, waiting terms, justification for integrated protection, buffer zones, soil and sustainability indicators are collected from notes and technical systems.

Consequences: Administration takes a long time, the origin of the data is difficult to prove, and the non-compliance is noticed too late.

Opportunities

Opportunities to improve operations

Crop production traceability systemHigh impactField work and the means used are visible at the production batch.The work of collecting documents is decreasing, and splitting, mixing, or adjusting a lot can trace its origin.

Harvest, storage and field profitability analysis toolHigh impactThe harvesting option is comparable to the actual capacity for reception, preparation and storage.The pre-expected wait decreases, and the team can select an executable sequence based on the state of production.

Crop monitoring and fieldwork management systemHigh impactThe agreed record of the work done is used in the season history without rematch.The agronomist can measure field change along with real action and distinguish the monitoring signal from the already verified conclusion.

Farm machinery and seasonal work planning systemHigh impactThe entire combination of equipment, implement and operator is checked before appointment.The decline is due to time periods spent on jobs due to resource conflict, and the disruption shows which part of the day plan needs to be changed.

Biggest opportunity

Works and costs are recorded by field or growing area

Employees at a specific field, garden or greenhouse zone register the work and materials they have done. The manager compares the fact with the plan, combines the follow-up work and links the costs to the yield obtained.

Less job data rewriting
Clearer field costs
More accurate planning of equipment and works
The origin of a specific field crop and the work done can be justified by the production buyer

Business impact assessment

Potential operational benefitsActual fieldwork and batch origins allow for more reliable season planning and explanation of its results.
Why the problem mattersA short period of suitable weather increases the cost of technical conflict and late signaling.
Implementation dependenciesThere needs to be a balance between geographic data, seasons, technical interfaces and actual use of the tools.
Production bid according to buyer's needChecking the origin of the batch facilitates the buyer's assessment, and analysis of storage and disposal helps to choose a sales plan. Assessing actual post-harvest income and storage costs.

Sprendimai

How to solve these problems

Solution directions linked to specific business area problems they address.

Problem

History of fields, crop rotations and works fragmented

There is a lack of reliably linked field-specific and season-specific data when planning work and costs.

Solution direction

Crop monitoring and fieldwork management system

Agronom plans field work according to the goals of the season and the state of the crop. Surveys and work done are saved near the field so that the changes have a clear basis.

Problem

Fertilization and plant protection plans do not match actual uses

The cost of raw materials, the risk of non-compliance and the difficulty in estimating the economic outcome of a given measure are increasing.

Solution direction

Crop monitoring and fieldwork management system

Agronom plans field work according to the goals of the season and the state of the crop. Surveys and work done are saved near the field so that the changes have a clear basis.

Problem

Soil, plant and air data are not linked to solutions

Fertilization, watering and plant protection solutions are too late or too uniform for different outdoor areas.

Solution direction

Crop monitoring and fieldwork management system

Agronom plans field work according to the goals of the season and the state of the crop. Surveys and work done are saved near the field so that the changes have a clear basis.

Problem

The causes of harvest losses are indistinguishable at the field and zone level

Inefficient technology is repeated and it is difficult to determine where an investment in seed, fertilizer or drainage has created value.

Solution direction

Crop monitoring and fieldwork management system

Agronom plans field work according to the goals of the season and the state of the crop. Surveys and work done are saved near the field so that the changes have a clear basis.

Problem

Technical, operator, and seasonal work plan is continuously manually revised

Optimal sowing, spraying and harvesting windows are skipped, and equipment and people wait for each other.

Solution direction

Farm machinery and seasonal work planning system

The farm manager assigns the right equipment, implement and operator for the field. Fault or changed weather conditions indicate which works need to be rescheduled.

Problem

Harvest forecast not sufficiently tied to storage and sales

During the harvest peak, logistic queues are formed, quality deteriorates and urgent and sub-optimal sales decisions are made.

Solution direction

Harvest, storage and field profitability analysis tool

The farm manager compares harvest, storage and sales options. Outdoor costs and the amount of production of the right quality help to assess the result.

Criteria for assessing the investment

Investment justified

Field and harvest data are collected anew when the purchaser submits the origin information of the batch.
Harvest reception needs to be combined with drying, storage and removal capacity.
Fieldwork plans, actual use of the tools and observation data are stored separately.
In the short period of seasonal work, there is a need to balance overall equipment, operator and field readiness.

Implementation requirements

Crop solutions require a traceable relationship between location, agronomic decision and work done.The detail of the registration is combined by culture, the formation of harvest lots and the responsibility of available management tools.

Field grains and oil crops

Link field work, actual areas and quantities of measures to harvest lots.

Gardens and outdoor vegetables

Describe the work of beds or garden blocks and identification of picking lots.

Seed and specialized crops

Combine variety data, seeding and harvesting accounts and the separation of lots for disposal.

Greenhouse and controlled growing environment

Link agronomic surveys and harvest batches to environmental data while maintaining climate controller functions.

Key implementation requirements

Season plan and equipment performance

The season register manages the applied agronomic plan and actual utilization. The progress of the equipment assigns resources and returns the fact of work without creating a second agronomic plan.

Signal and agronomic cause

Monitoring prioritizes surveying and substantiates agronomic action. Satellite index or vintage map correlation alone does not determine the cause.

Traceability and proof of conformity

Traceability links existing records to a specific batch of production and the recipient's requirement. An automatically produced document does not automatically prove compliance.

The Harvest Option and the Actual Economy

Harvest and economic analysis compare options, but do not itself allocate equipment or sell output. The change in humidity, the loss of quantity, and the financial result are counted separately.

Operational performance indicators

Unverified actual usenumber of cases

A specific product, area and working time are checked.

Expectations of harvests due to capacity conflicthours

Distinguish a pre-known planning error from an unexpected condition.

Preparation of a batch Origin Responseworking minutes

Restoring the real vintage connection to the growing place and works.

Harvest sales earnings after holding costsEUR

The actual sales revenue minus the drying, storage and transportation costs is compared. Both periods maintain the same volume of costs and take into account the quality of output.

Part of the output origin datasets accepted by the buyer%

Accepted kits are divided by all sets submitted for comparable buyer checks. Buyer data acceptance is separated from the general product compliance confirmation.

Key risks

Index becomes unverified agronomic instructionRemote change is considered to be the identified cause.How to manage Apply proper inspection and competent selection of actions.
The difference in quantity is mistakenly called a lossThe wet and recalculated harvest mass is directly compared.How to manage Save units, moisture basis and unexplained stock.

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Crops: opportunities for digitalization

Operating model

Growing of grain and oil crops in the fields

Gardens and outdoor vegetables

Seed and specialized crops

Greenhouses and a controlled growing environment

Market context

Workflow and responsibilities

Location and Cycle

Agronomic solution

Resources and Enforcement

Harvest and Origin

Season Preview

Digital maturity scale

Separate records and manual work

Organised data within individual teams

Partially integrated systems

Coordinated systems and teams

Continuous measurement and improvement

Executive conclusion

Related digitalisation topics

Common digitalisation challenges

History of fields, crop rotations and works fragmented

Soil, plant and air data are not linked to solutions

Fertilization and plant protection plans do not match actual uses

Technical, operator, and seasonal work plan is continuously manually revised

The causes of harvest losses are indistinguishable at the field and zone level

Harvest forecast not sufficiently tied to storage and sales

The economy of the farm is seen at a general level, rather than at the field and cultural level

Plant protection and sustainability records are prepared manually

Opportunities to improve operations

Works and costs are recorded by field or growing area

Business impact assessment

How to solve these problems

Recommended solutions

Crop monitoring and fieldwork management system

Farm machinery and seasonal work planning system

Harvest, storage and field profitability analysis tool

Crop production traceability system

Criteria for assessing the investment

Implementation requirements

Field grains and oil crops

Gardens and outdoor vegetables

Seed and specialized crops

Greenhouse and controlled growing environment

Key implementation requirements

Season plan and equipment performance

Signal and agronomic cause

Traceability and proof of conformity

The Harvest Option and the Actual Economy

Operational performance indicators

Key risks

Innovation and practical applications

Selection of crop changes from remote data

Transferring a variable rate task to a technician

Frequently asked questions

Do all farms need one new platform?

How does digital data help with fieldwork planning?

How do you measure the benefits over different seasons?

How do you select solutions based on the farm's cultivation method and available equipment?

Let's discuss your farm or service process