Cropler provides farmers with a 24/7 AI-powered digital agronomist

Cropler, a startup specializing in real-time remote photo monitoring, has enhanced its field scoring and analytics system with artificial intelligence. The AI-driven operations planner provides agronomists with detailed insights into crop health, enabling them to cut scouting time by 50%. This improvement aids in decision-making and increases the efficiency of input applications by 30%, leading to a 20% rise in crop yields.

Cropler is the world’s first real-time remote photo plant monitoring technology. It comprises:

• Hardware: A mobile multispectral agri-camera working on a solar-powered battery.
• Software: A multiuser web platform and a mobile app for AI-driven field scoring, fieldwork planning, improved crop rotation, and analysis of satellite imagery, and photos from agri-cameras.

Now, the field monitoring system is supplemented with AI technology that helps agronomists and agri-businesses identify the key phenophases, diseases, leaf damage, and potential threats automatically. Then, Cropler offers highly personalized alerts and recommendations allowing to plan and perform plant-driven agricultural operations timely.

The use of the latest AI algorithms transforms Cropler’s technology into a full-fledged digital agronomical assistant. In addition to capturing high-resolution RGB/NDVI photo series three times daily, Cropler gathers images from satellites, measures temperature, humidity, and pressure and provides AI-powered data-based insights daily. All this promotes a smart operation-focused approach that boosts business efficiency. It becomes possible to take immediate action to save the yield and make the most of it, as well as assess the effectiveness of new crop varieties and fertilizers more precisely.

AI-driven analytics and recommendations allow agronomists and agri-businesses to reduce crop damage and financial losses:

• Yield harvesting increased by 20%: Identifying phenological stages helps to predict specific threats, manage diseases, and optimize the use of fertilizers and chemicals. A more accurate choice of harvesting time maximizes yield potential and helps to lower costs and time resources.
• Chemicals’ effectiveness increased by 25%: Choosing the ideal time for applying fertilizers, fungicides, and other chemicals, in terms of both the growth stage and environmental conditions.
• Scouting time reduced by 50%: Real-time field health scoring and AI-based notifications reduce the need for in-person monitoring, helping save time and resources and know exactly when and what agronomic operations to perform for top efficiency.
• Decreased CO₂ emissions: Optimized and timely use of fertilizers, pesticides, water, and other resources decreases crop loss and reduces CO₂ emissions per ton of production.

“What makes Cropler different is that, unlike weather stations, it allows us to see the plant inside and out, helping to monitor actual crop health round the clock, come rain or snow,” says Nikita Bedunkevich, CEO at Cropler. “With AI integration, our technology now offers both 24/7 gap-free data and actionable insights facilitating decision-making. Moreover, Cropler helps to identify diseases and other threats early enough to prevent significant damage, saving yield and promoting sustainability. And all this — through compact, portable, solar-powered cameras and cross-platform software available at an affordable price.”

With AI integration, tracking of plant development dynamics becomes automatic, and the need for manual inspection reduces. In any weather condition and during each phenological stage, from emergence to ripening, farmers, agronomists, and agri-businesses receive information about current and possible threats as well as the potential need for irrigation, applying fertilizers, fungicides, herbicides, etc. Cropler also serves as a paperless crop rotation planner that saves data history over long periods of time and helps agronomists and consultants make more precise decisions.

Cropler’s system is fully autonomous: agri-cameras are solar-powered and portable, sending data to the servers via GSM. They can be easily installed and reinstalled in any field; before the installation, Cropler suggests the most representative locations for efficient monitoring.

“With Cropler, there is no need for guesswork when it comes to agronomic decisions, and you don’t miss important changes,” says Andrii Zbrytskyi, BDM at Cropler. “The cameras gather ground truth data, including high-resolution images of plants both during the day and no-shade photos at nighttime, which makes data more accurate, while additionally used satellite imagery offers a broader perspective. On a web platform or an app, you can compare photos from different fields or different years, download any necessary photos, and opt for AI-powered analytics and recommendations utilizing extensive datasets.”

AI moves Cropler to the next stage of high-quality agricultural recommendations that allow its users to plan and perform agricultural operations timely and optimize crop production. Agronomists and agri-businesses can rely on plant-based data to avoid and fix agri-mistakes and increase profitability by boosting yield quality and optimizing resource usage.