Planting structure
Configure farms, orchards, vineyards, blocks, rows, varieties, planting age, area, and owners.
Software for agronomists and farm managers
Manage commercial orchards and vineyards in one system
Gros.farm connects sites, blocks, rows, varieties, seasonal protocols, team tasks, observations, weather, and yield. Agronomists manage the growing process, managers see plan versus actual, and every worker knows what to do in each block.
For perennial crops
Orchard and vineyard software built around the season
Orchards and vineyards differ in crops and rules, but share one management loop: map the plantings, define the protocol, deliver work to the team, and connect observations to results.
Seasonal protocol
Connect stages, rates, recurring operations, instructions, and tasks for each crop, variety, and condition.
Work and team
Give every task a block, date, worker, priority, and growing context; monitor progress and delays.
Data and analytics
Turn observations, photos, weather, metrics, events, and yield into history for experts and AI.
What breaks without a shared system
Orchard and vineyard records should not be scattered across spreadsheets and chats
Perennial-crop results accumulate over time. When block structure, protocols, work, weather, observations, and yield live separately, the farm loses production memory and repeats mistakes.
Farm structure fragments across files
Blocks, rows, varieties, area, and planting age drift away from reality in separate sheets.
The protocol never becomes daily work
Pruning, scouting, treatments, irrigation, and harvest lose their block, stage, deadline, and owner.
The result is visible, but the causes are not
Total tonnage cannot explain why one block or variety performed better than another.
Experience stays with individuals
New staff, outside experts, and AI must rebuild context from retellings and screenshots.
One production loop
Orchard and vineyard management from planting structure to seasonal result
Gros.farm organizes tools around the real cycle: where the crop grows, which protocol applies, what the team did, what was observed, and what result followed.
Map the plantings
Orchards, vineyards, blocks, rows, varieties, area, planting age, and owners.
Define the protocol
Stages, target metrics, recurring work, instructions, and crop or variety specifics.
Run the season
Team tasks, observations, photos, weather, metrics, and exception control.
Review the result
Planned versus actual yield, quality, seasonal events, block comparisons, and context for experts and AI.
Farm registry
Commercial orchard and vineyard records begin with block structure
Configure Gros.farm around the physical farm. Divide land into blocks or rows and track crop, variety, planting year, spacing, area, plant count, owners, and seasonal results.
- Sites, blocks, and rows as management units
- Varieties, planting age, area, plant count, and owners
- Links to protocols, tasks, monitoring, and analytics
- Planned and actual yield, quality, and seasonal metrics
Registry
Commercial orchard and vineyard records begin with block structure
Crop protocols
Orchard and vineyard protocols remain practical working tools
A protocol connects crop stages, targets, operations, and tasks. Start from a template, adapt it to the farm, variety, and season, then retain it as an internal asset.
- Stages and phenology as the logic of the season
- Target metrics, recurring operations, and instructions
- Team tasks generated from the protocol
- Own versions for different crops, varieties, and blocks
Protocols
Orchard and vineyard protocols remain practical working tools
Treatments and compliance
Crop-protection work must remain in each block’s history
Record not only the treatment list but also location, crop, date, owner, weather, and completion. Linking regulated work to the calendar and tasks makes in-season control and post-season review easier.
Treatment journal
Crop-protection work must remain in each block’s history
Team
Every job receives a block, deadline, and owner
Tasks and team
Every job receives a block, deadline, and owner
Pruning, scouting, thinning, treatments, irrigation, maintenance, and harvest preparation become one production plan. Each task connects to an object, crop, stage, date, worker, and instruction.
- Protocol tasks and unplanned work in one list
- Worker, date, priority, instruction, and completion status
- Overdue control and quick contact with the owner
- Simple mobile workflow, including offline work
Metrics and analytics
Weather, observations, and seasonal events gain shared context
Gros.farm combines manual entries, sensors, weather services, calculated metrics, and events on one timeline. Agronomists compare actuals with protocol targets and investigate exceptions by block and period.
- Weather, rainfall, wind, temperature, and other metrics
- Manual observations, automatic data, and calculated values
- Target ranges and stage events on charts
- Comparison of blocks, varieties, periods, and cycles
Analytics
Weather, observations, and seasonal events gain shared context
Monitoring table
Observations, weather, and stages form a crop diary
See key dates, stages, manual readings, photos, comments, weather, automatic metrics, and calculated values by day. Configure the rows for each farm and crop.
Monitoring
Observations, weather, and stages form a crop diary
Plan, actual, and quality
Yield should connect to the block, variety, and seasonal history
Total tonnage does not explain performance. Link yield and quality to blocks, varieties, weather, observations, and completed work to improve the protocol.
Planned versus actual yield
Compare expected and actual output by block, variety, and cycle.
Product quality
Track farm-defined quality metrics and exceptions in the block history.
Harvest by block
Connect dates, team tasks, and results to a specific block or row.
Conditions before the result
View weather, observations, and production events next to the outcome.
Block comparison
Compare blocks, varieties, and cycles by yield, quality, and exceptions.
Foundation for AI
The more complete the farm history, the more useful experts and AI become.
Gros.farm as an AI workspace
AI is useful when it knows this farm’s history
Gros.farm connects planting structure, protocols, tasks, observations, weather, metrics, and results. With that context, AI can find inconsistencies, prepare comparisons, and frame questions without replacing the agronomist.
Which blocks are below the yield plan, and what happened beforehand?
Which varieties and blocks handled heat or heavy rain best?
Where were protocol deadlines missed most often?
Which blocks lack regular observations?
What distinguishes stable cycles from cycles with exceptions?
Which seasonal questions should go to an agronomist or outside expert?
Quick start
Start with one block, one crop, and one cycle
You do not need to digitize the whole farm first. Describe one object, choose a crop and protocol, configure the block, and begin daily tasks and observations.
Create an object
Add an orchard, vineyard, or production site and its location.
Describe the structure
Configure blocks or rows, then add crops, varieties, and key record fields.
Use a protocol as the base
Choose a template or add your own stages, rates, and operations.
Run seasonal work
Assign tasks, capture observations, and add weather, sensors, and analytics gradually.
What the team gains
Every role works with one production context
Gros.farm does not replace agronomists or local expertise. It preserves production memory so managers, specialists, and workers see the same facts.
Control at scale
See farm structure, work status, exceptions, plan versus actual, and blocks that need attention.
The protocol becomes a process
Protocols, rates, observations, corrections, and seasonal history stay linked to blocks.
Clear daily work
Tasks arrive with an object, deadline, priority, and instruction instead of disappearing in chats.
Work with complete history
Outside experts and AI receive data, protocols, tasks, and events in block, crop, and result context.
Frequently asked questions
What should orchard or vineyard agronomy software do?
Connect block and variety structure, protocols, team tasks, observations, treatments, weather, and seasonal results in one production cycle.
Can horticultural records be organized by blocks and varieties?
Yes. Configure sites, blocks, or rows and connect them to crops, varieties, planting year, area, owners, protocols, tasks, and yield.
Does Gros.farm work for both orchards and vineyards?
Yes. Registries, protocols, tasks, and monitoring adapt to the farm’s physical structure, crops, varieties, and rules.
Can we start without sensors and automation?
Yes. Begin with objects, protocols, tasks, manual observations, and monitoring. External weather is included; add sensors and local automation when needed.
What happens to existing spreadsheets and protocols?
Import farm structure, records, and protocols into one workspace and use them in daily work. Initial import and use are available free.
How do we start without overloading the team?
Register, add the first object and crop, import existing data, and expand gradually. Basic setup can be done in one day.
Does the system replace the agronomist?
No. Gros.farm preserves technology, tasks, data history, and results so agronomists and experts decide with full context.
Can Gros.farm connect to irrigation and other automation?
Yes, through a suitable local controller and explicit integration. Gros.farm supplies goals and schedules; local automation executes safely.
First step
Put one block into a system the whole team can use
Start with planting structure, one crop, a protocol, tasks, and daily observations. Add blocks, metrics, integrations, and analytics as the farm is ready.