AGRICULTURE

Strategic planning, sustainable growth.

Comprehensive management of the agricultural process with intelligent planning, predictive monitoring, task control, crop tracking and traceability with CO₂ footprint measurement.

MAIN FEATURES

Intelligent planning

Planning of agricultural campaigns with production scenarios and climatic data. Resource allocation, financial planning and automatic generation of work orders.

Strategic production optimization

Task control

Management of agricultural activities in the field with or without connection. Coordination of tasks, operational logistics, use of best practices and digital tracking of harvest progress.

Real-time operational traceability

Quality control

Standardization of inspections through digital protocols connected to devices. Automated quality certification from the origin of the crop, with control at each point of the process.

Technical validation of quality at origin

Picking | Harvesting

Digital registration of harvest per operator with QR or RFID identification. Weight, time, quality and yield control with integrated certification and traceability per worker.

Operational accuracy and traceability per worker

Predictive monitoring

Crop monitoring with dynamic visualization. Early anomaly detection, yield estimation and variable management with precision agriculture.

Predictive analytics for more efficient management

Traceability and CO₂ footprint.

Complete traceability of crop origin, use of inputs and regulatory compliance. Carbon footprint calculation and technological certification of the production process.

Production transparency and certified sustainability

Cost management

Recording and monitoring of all costs associated with production, including inputs, labor and machinery, with detailed analysis to optimize profitability.

Plant inventory

Inventory management with traceability by lot, location and status of each plant, facilitating planning, harvesting and life cycle tracking.

Flexible work orders

Creation and management of tasks with parameterization by type, batch, structure or line, adapting to the particularities of each intensive crop.

Data collection

Recording of agronomic observations with photographs, voice notes or text. Allows updated and accurate monitoring of weeds, pests and diseases.

Geolocation of data

Each piece of data is associated with its exact location, facilitating the analysis by lot and the traceability of agronomic events in time and space.

Data analysis

Presentation of information in graphs, maps and interactive tables. Allows you to detect patterns and make decisions based on concrete data.