Agentic AI for agriculture
Agentic AI for Farm Management
Xsupra's Alora is an agentic AI system that senses every field, decides the right action per zone, and acts — building maps, logging work, and answering in your language.
Free to get started, no credit card required
What is agentic AI in agriculture?
Agentic AI in agriculture is software that doesn't just answer questions — it takes action. Unlike a passive chatbot, agentic AI agriculture systems sense field conditions, decide what to do, and carry out the work. Xsupra's Alora is exactly that: an agentic AI built for the farm.
Agentic AI farm management means one intelligent core plans, decides, and coordinates across your whole operation. Alora reads and writes across your fields — generating variable-rate maps, logging activities, and producing compliance documents — so agentic AI turns daily field intelligence into real work, not just advice.
The agentic AI loop: sense, decide, act
Every day, agentic AI turns raw field signals into decisions and actions across your farm.
Sense
Satellite (Sentinel-2 and Sentinel-1), terrain, soil, weather, and photo vision turn every field into live data.
Decide
A rules engine of 1,000+ agronomic rules, machine learning, and VRA logic score every field and zone every day.
Act
Variable-rate maps, soil and sampling maps, compliance documents, and logbook entries are generated and written back.
Orchestrate
Manufacturer-neutral, Alora coordinates the whole operation — one brain for every machine.
Grounded in what ships today. Built toward the autonomous farm.
What makes Alora an agentic AI system
A production agentic AI core, live on 100+ farms across the EU.
LangGraph orchestration
A stateful agent graph with specialist sub-agents for agronomy, assessments, documentation, and research.
90+ agent tools
Read and write access across the operation — Alora creates entries, plans tasks, and updates fields, not just answers.
Specialist sub-agents
Dedicated agents handle agronomy, assessments, documentation, and research, coordinated by the core.
Long-term memory
Long-term user memory and conversation summaries, plus full tool and model audit logs.
Multimodal
Photograph a pest or symptom for diagnosis, or speak instead of type. Vision and voice are first-class.
Multilingual
Answers in the user's own language across 19 interface languages, with localized crop and agronomy vocabulary.
Agentic AI in agriculture: FAQ
What is agentic AI in agriculture?
Agentic AI in agriculture is software that senses field conditions, decides the right action, and acts on it. Xsupra's Alora is an agentic AI system built on LangGraph with 90+ tools, specialist sub-agents, and long-term memory — it runs a daily sense/decide/act loop across your fields.
How is agentic AI different from a farm chatbot?
A chatbot only answers. Agentic AI acts. Alora has read and write access through 90+ agent tools — it builds variable-rate (VRA) maps, logs work, and writes compliance documents, not just text replies.
What can Xsupra's agentic AI actually do?
Alora runs a rules engine of 1,000+ agronomic rules against daily satellite, soil, and weather data, then generates VRA maps, soil maps, logbook entries, and compliance documents. It's multimodal (photo and voice) and multilingual.
Is Xsupra's agentic AI vendor-locked?
No. Alora is developed vendor-independent and is switched to different AI providers as needed, and it coordinates machines manufacturer-neutrally. Its long-term memory keeps the full context of your farm.
See agentic AI on your fields
Start free and let Alora, Xsupra's agentic AI, turn daily field intelligence into action.
Free to get started, no credit card required
