Integrated Pest & Disease Management System - 60 Hectare Coverage

The SOLARTODO Integrated Pest & Disease Management System for 60-hectare vegetable farms represents a paradigm shift in agricultural technology, moving from reactive treatments to proactive, data-driven crop management. This comprehensive solution integrates a network of 18 advanced sensors, sophisticated AI-powered analytics, and autonomous solar power to provide unparalleled insight into farm ecosystems. By delivering real-time, hyperlocal data on weather, pest populations, and disease pressure, the system empowers growers to make optimized decisions that reduce input costs by up to 30%, cut water usage by 50%, and increase crop yields by 15-25%. The entire system is engineered for robust, maintenance-free operation in demanding agricultural environments, ensuring a reliable return on investment.

Multi-Layered Environmental Sensing Array

At the core of the system is a professional-grade weather station, compliant with World Meteorological Organization (WMO) standards. This unit provides a complete meteorological profile by measuring ten critical parameters: ambient temperature, relative humidity, barometric pressure, wind speed, wind direction, rainfall, solar radiation (pyranometer), and calculated evapotranspiration (ET). Data is sampled every 10 minutes and transmitted wirelessly to the central gateway. This high-resolution weather data is not merely informational; it is the foundational layer for the system's predictive models, allowing the AI to accurately forecast disease risk windows and optimize irrigation schedules based on real-time plant water needs, directly contributing to the reported 50% reduction in water consumption.

AI-Powered Pest and Disease Intelligence

The system revolutionizes pest management by replacing manual scouting with automated, intelligent monitoring. Species-specific pheromone lures attract target insects—such as moths, aphids, armyworms, and fruit flies—into an AI camera trap. The integrated high-resolution camera captures images at set intervals, and an onboard AI processor, trained on millions of images, automatically identifies and counts target species with an accuracy rate between 85% and 95%. This eliminates the guesswork and labor of manual traps, providing daily digital reports on pest pressure and population dynamics directly to the cloud dashboard.

For disease prevention, the system employs a dual-pronged approach. A volumetric spore trap continuously samples the air, capturing airborne pathogens like powdery mildew, downy mildew, and botrytis spores. An integrated AI microscope analyzes these samples, providing early warnings of disease pressure before symptoms are visible. This is complemented by a handheld multispectral leaf scanner. This device uses advanced imaging technology to detect subtle changes in a leaf's chlorophyll fluorescence and reflectance, identifying infections up to 7-10 days before they can be seen by the human eye. This early detection is critical for enabling targeted, preventative fungicide applications, drastically reducing chemical usage and cost.

Robust and Reliable Infrastructure

Connectivity across the 60-hectare area is established via a powerful LoRaWAN gateway, which offers a communication radius of up to 10 kilometers, providing ample coverage for the 18 distributed sensors and allowing for future expansion. For high-bandwidth data transmission from the AI camera traps and leaf scanners, the system utilizes a dedicated 4G LTE communication module, ensuring that high-resolution images and video are uploaded to the cloud in near real-time. This hybrid communication architecture, compliant with telecommunication standards, guarantees data integrity and low latency.

To ensure continuous, autonomous operation, each sensor node and gateway is powered by a dedicated solar power kit. The medium-sized 80W monocrystalline solar panels, certified to IEC 61215 and UL 1703 standards, are paired with high-capacity Lithium Iron Phosphate (LFP) batteries. This configuration provides a minimum of 5-7 days of autonomy even during periods of low solar irradiance, ensuring the system remains online 24/7/365. All outdoor components feature IP67 or IP68 ratings, guaranteeing protection against dust ingress and water immersion.

The Professional Cloud Platform: From Data to Decisions

All sensor data is aggregated and processed on the SOLARTODO Professional Cloud Platform. This secure, scalable platform provides an intuitive dashboard accessible via web or mobile app, featuring real-time data visualizations, historical trend analysis, and customizable heat maps of pest and disease distribution across the farm. The system's AI engine continuously analyzes incoming data, correlating weather patterns with pest life cycles and disease models to generate predictive alerts. When a high-risk event is detected—such as a pest outbreak threshold being crossed or conditions becoming optimal for fungal growth—the system automatically sends alerts via SMS, email, and app push notifications.

Beyond alerts, the platform offers advanced decision support tools. It integrates a crop-specific growth model to forecast development stages and provides daily irrigation recommendations to optimize water use. The system's open architecture includes a full-featured REST API, enabling seamless integration with existing farm management software (FMS), variable rate irrigation systems, and other third-party platforms in accordance with ISO 11783 (ISOBUS) principles for agricultural data exchange.