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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Agrotelligence INC
Agrotelligence INC

Agrotelligence INC

Founded 2019

Monitor orchard health and manage irrigation schedules using satellite imagery and field sensors

Pricing model

Demo

You can use Agrotics to manage orchard operations by combining data from field sensors, weather forecasts, and satellite imagery into actionable farming decisions. It tracks soil moisture, leaf conditions, and canopy health to guide precise irrigation schedules and reduce water waste. The system detects crop stress, disease risks, and anomalies early using multispectral imagery and automated alerts. You can also coordinate field workers, standardize practices across multiple orchard locations, track historical harvest outcomes, and plan future crop treatments without replacing existing farm hardware.

What Agrotelligence INC does

Review NDVI anomaly alerts for specific crop zonesGenerate irrigation recommendations based on sensor readingsConnect LoRaWAN sensors to field gatewaysCompare harvest performance across multiple farm blocksTrack historical soil moisture and weather trendsAssign field intervention tasks to farm crew membersAssess crop disease risk scores prior to chemical applicationMultispectral satellite tracking for early crop stress detectionAutomated disease risk scoring with zone-level precisionIrrigation scheduling based on soil, weather, and canopy conditionsIntegration with existing third-party agricultural sensors and devicesSupport for LoRaWAN gateway networks across remote fieldsCentralized dashboard to manage multiple orchard locations and blocksOutcome tracking to evaluate the success of past field decisions

Pricing breakdown

Pricing model: Book a demo

Frequently asked

LoRaWAN

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Agrotics, orchard management, smart agriculture, satellite crop monitoring, irrigation management, soil sensor analytics, crop risk detection, NDVI anomaly detection, disease risk scoring, LoRaWAN farm sensors, harvest timing, yield forecasting, precision farming, leaf sensors, farm operations