AgriTech
Technology applied to agribusiness: process digitalization, crop monitoring and connected field solutions.
Economics · Engineering · Agribusiness · Technology
Data, engineering and artificial intelligence applied to agribusiness
Economist and Computer Engineer. I connect economic insight with technical capability to turn information into decisions and into secure, automated and scalable digital solutions.
- Economics
- Markets, indicators and strategy
- Engineering
- Software, data and infrastructure
- Agribusiness
- Field, value chain and management
- Technology
- AI, automation and security
Jhonattan Martins
Economist · Computer Engineer
Biography
Multidisciplinary work at the intersection of technology, economics and agribusiness
As an economist specialized in agribusiness, I work with a data-, market- and strategy-driven perspective, seeking to understand economic scenarios, support decision-making and develop solutions that contribute to greater efficiency and competitiveness in the agricultural sector.
In technology, I am a Computer Engineer specialized in technology applied to agribusiness, integrating engineering, data and innovation to develop solutions focused on digital transformation and the modernization of processes.
My technical practice also covers DevOps, Cloud, infrastructure, automation and cybersecurity, as well as data engineering and analysis, artificial intelligence and digital solution development.
The combination of Economics + Engineering + Agribusiness + Technology allows me to analyze challenges from different perspectives: understanding the business and its indicators, structuring data, developing technological solutions and building secure, automated and scalable environments.
I have a particular interest in applying data, artificial intelligence, automation, geotechnologies and digital infrastructure to agribusiness, connecting economic and technological knowledge to turn information into decisions and practical solutions.
Expertise
Skills that connect the field to the cloud
Agricultural Economics
Scenario reading, market indicators and economic analysis for more efficient and competitive decisions.
Artificial Intelligence
Predictive models, computer vision and intelligent automation applied to agricultural productivity and risk.
Data Engineering
Pipelines, integrations and analytical architecture to turn scattered data into reliable information.
Geotechnologies
Remote sensing, satellite imagery, vegetation indices and spatial analysis for land management.
Monitoring
Telemetry, IoT and real-time operational dashboards for continuous tracking of the operation.
Cloud & DevOps
Infrastructure as code, CI/CD, containers and observability in scalable environments.
Cybersecurity
Hardening, access management, data protection and operational resilience in critical environments.
Practice
How I turn information into results
01
Digital transformation in agribusiness
Process assessment, architecture definition and deployment of solutions that reduce rework and expand control over the operation.
02
Data and AI platforms
From ingestion to decision: modeling agronomic, economic and operational data with analytical layers and AI models.
03
Secure and automated infrastructure
Cloud, automation and cybersecurity to sustain critical agribusiness systems with availability and compliance.
Contact
Let's talk about technology and agribusiness
Open to projects, partnerships and conversations about data, AI, geotechnologies and digital infrastructure in agribusiness.