FuturCrop logo

FuturCrop

by FuturCrop · Since 2016
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Active1+ countriesCloud
Quick facts
VendorFuturCrop
Year launched2016
StatusActive
LocationAvinguda Françesc Maciá 41. Sabadell (08206) Barcelona - Spain
Countries served1+
Languages1
IntegrationsN/A
Free tierNO
Free trialYES
Contact salesNO

About FuturCrop

FuturCrop is a cloud-based pest prediction and crop protection platform that helps farmers and agricultural professionals optimize pest management through biological modeling, climate-driven forecasting, automated alerts, and AI-powered recommendations, reducing unnecessary pesticide applications while improving treatment timing, crop protection, operational efficiency, and overall farm profitability.

FuturCrop is an intelligent agricultural decision-support platform designed to improve pest management through predictive analytics and biological development modeling. Instead of relying on fixed spraying schedules or reacting after crop damage appears, the software analyzes real-time weather information together with pest phenological models to predict the ideal monitoring and treatment periods. Farmers simply locate their fields on an interactive map, select their crops, and receive automated mobile alerts before pest outbreaks occur. The platform eliminates the need for physical weather stations or field sensors, making advanced forecasting accessible without additional hardware investments. Historical agricultural data dating back to 2016 continuously improves AI prediction accuracy while supporting localized pest forecasting. FuturCrop also promotes sustainable farming by reducing unnecessary pesticide applications, lowering labor costs, minimizing crop losses, and encouraging resistance management through IRAC protocols and biological control recommendations. The software supports campaign planning, improves resource allocation, and helps maximize profitability per hectare through accurate intervention timing.

Pros & Cons

Pros
  • Eliminates hardware investments through fully cloud-based pest forecasting technology for users everywhere.
  • Improves treatment timing using predictive biological models and localized climate information accurately.
  • Provides automated alerts improving planning, monitoring, and field operation efficiency significantly every season.
  • Reduces pesticide applications while supporting sustainable and environmentally responsible farming practices consistently.
Cons
  • Limited pricing flexibility because subscriptions depend on monitored pest categories selected individually.
  • Focuses primarily on pest forecasting instead of complete farm management capabilities overall today.
  • Requires reliable internet access for receiving updates and cloud synchronization consistently everywhere.
  • Advanced biological recommendations may require agronomic knowledge for optimal implementation by users.

Features

Key features

Biological Pest Prediction

Uses phenological models and climate information to accurately predict pest development stages, helping growers apply treatments at the most effective time while minimizing unnecessary pesticide applications. Real-Time Climate Processing: Continuously collects weather information from plot locations and processes environmental conditions daily to generate accurate pest development forecasts without requiring on-site weather stations or additional hardware.

Resistance Management Support

Recommends IRAC protocols and biological control strategies to reduce pesticide resistance while encouraging sustainable crop protection practices and long-term pest management effectiveness.

Field Mapping System

Allows users to register crop plots on digital maps, automatically identifying pest risks and delivering location-specific forecasting for improved operational decision-making and resource allocation.

AI Learning Engine

Improves prediction accuracy using historical pest and climate datasets dating back to 2016, continuously refining localized recommendations through artificial intelligence and machine learning technologies.

Automated Mobile Alerts

Sends advance notifications directly to mobile devices, informing users when field monitoring or treatment should occur for maximum effectiveness and improved crop protection planning.

Additional features

Crop Plot Registration

Enables users to map agricultural fields accurately for location-specific pest monitoring, biological forecasting, automated climate analysis, and personalized treatment recommendations throughout each growing season.

Artificial Intelligence Analytics

Utilizes historical agricultural datasets and machine learning technologies to enhance prediction precision, adapt recommendations locally, and improve forecasting accuracy across multiple cropping environments.

Seven-Day Advance Alerts

Delivers early warning notifications several days before expected pest activity, helping growers prepare monitoring activities, labor allocation, equipment scheduling, and treatment planning efficiently.

Biological Development Models

Simulates pest life cycles using scientific phenological models, allowing growers to predict infestation timing before visible crop damage occurs and improve treatment effectiveness significantly.

Climate-Based Forecasting

Processes localized weather conditions continuously to calculate daily pest development, improving intervention timing while reducing uncertainty associated with traditional calendar-based spraying methods across agricultural operations.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

1
Countries served
1
Interface languages
1
Billing currencies

Available in

Spain

Interface languages

Spanish

Billing currencies

🇪🇺EUR

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