Bio Controler

A greenhouse complex has several levels: blocks, greenhouses, sections, rows, and cells. The interface has to do more than visualise this structure. It becomes the foundation for crop assignments, rotation planning, and every future observation.

A staged setup keeps a dense configuration manageable. Users define the geometry first, group cells into operational zones, and then assign a crop, variety, supplier, and responsible employee.

Biological monitoring is a recurring process rather than a single report. Teams inspect the same zones on a schedule, record pests and beneficial organisms, and observe how an outbreak changes from week to week.

A stable map provides the shared coordinate system; the time dimension reveals movement. Users can move from a period overview to a specific zone and see not just the current state, but the trajectory of the problem.

When monitoring reveals a problem, the next action should remain connected to its place and cause. An intervention record combines date, operator, chemical or biological agent, concentration, water volume, application method, and selected zones.

This structure lets a team reconstruct the decision: what was found, where treatment happened, which parameters were used, and what should be checked during the next inspection. The intervention becomes part of the operational history instead of an isolated form submission.

Catalogues of pests, beneficial organisms, crops, varieties, treatments, and manufacturers support the core workflows. They are not a detached encyclopaedia, but a structured source of data for inspections and interventions.

A record can combine identification cues, attention thresholds, application guidance, and related control methods. This reduces the gap between recognising a problem and choosing the next action while keeping terminology and parameters consistent across the team.

B-Control extended the platform from manually recorded observations to connected devices. Teams could organise hives into groups, assign automatic opening and closing schedules, issue manual commands, and monitor device state.

Activity analytics helped expose an unusual drop in flights, while battery and schedule statuses made hardware health visible to the operator. My task was to bring commands, schedules, telemetry, and exceptions into one coherent workflow.