You can access the data from your fields through a web platform, which is available both on a PC and as a mobile app. It is also possible to connect to an agri-camera using a Type-C cable.

The primary financial benefit of using agri-cameras is a significant reduction in scouting costs. It can be more noticeable in big farms and agro-holdings, but any farmer can optimize time and resources using Cropler.

With real-time monitoring, you can better plan irrigation and the time to apply fertilizers and chemicals, forecast the yield, identify the ideal harvesting time, and identify diseases promptly, preventing their spread. On the web platform, you can compare your fields and monitor growth dynamics, and this data contributes to more effective decision-making.

Cropler helps agricultural businesses optimize resource use and distribution, save time on scouting remote fields, and make faster, data-based decisions. Each monitor is representative of a field of up to 80 ha and allows you to access the gathered data at any moment through a web platform.

Currently, our system doesn’t offer detailed nutrient measurements and calculations. However, since Cropler uses plants as the primary data source, an AI assistant can analyze photo series and recommend testing soil for specific nutrients or using fertilizers if there are any signs of deficiencies.

The key advantage of wireless moisture sensors is the ease of installation and maintenance in any location, which broadens the opportunities for remote monitoring. You can relocate them whenever needed and add extra sensors without additional cables.

If such sensors are a part of an integrated system, they can send instant alerts and insights, for example, when the plants need to be watered. This helps ensure proper plant health and development, plan irrigation better, and optimize resources. The Cropler system also saves all your data over time, helping you analyze the changes and compare the characteristics anytime.

When identifying water content, both wired and wireless soil moisture sensors use the same principles. They measure changes in the dielectric permittivity of the soil based on parameters like capacitance, electrical resistance, and temperature. Then, unlike wired tools, wireless sensors send the data through Bluetooth, Wi-Fi, cellular networks, or satellite for further analysis through web platforms or apps.

Other plant parameters can be monitored through similar sensors or agri-cameras. Cropler’s agri-camera, for example, utilizes NDVI/RGB photo monitoring with high-resolution images even at nighttime. It can provide you with insights into plant health and the vegetation process. It collects the data three times daily, and you can compare and explore it at any moment through a web platform.

During stable environmental conditions, you might not need to refer to the soil sensor data every day. However, it is beneficial to keep collecting and monitoring it to have a more comprehensive insight and have all the information at hand when you need it, without any gaps. Everyday use can be necessary during drought or rainy periods to help make agronomic decisions timely.

Cropler allows you to monitor your plants through a web platform and a mobile app. Agri-cameras installed in your fields collect the data three times daily, including nighttime, so you can compare photo series and evaluate gradual changes in different parameters. You can access both RGB and NDVI images, which allows you to analyze your crops almost inside and out.

Geographic information systems are used to analyze and visualize information gathered by special tools, such as GPS, imagery analysis, or LiDAR (Light Detection and Ranging). GIS makes it possible to organize and manage complex data and create interactive maps for remote crop monitoring. You can also use such maps for yield prediction, pest control, monitoring of nutrient distribution and deficiencies, and more.

Basically, it is possible to use NDVI to calculate vegetation density and percent cover, but there are several limitations. Aside from these measurements, you can use NDVI images to get detailed insights into vegetation health, which is possible with Cropler.

The choice between NDVI drones and stationary agri-cameras depends on your needs and goals. Both tools can collect high-quality data but drones cover larger areas faster and provide information in real time. Agri-cameras, on the other hand, collect photo series several times daily; while they are more suitable for prolonged monitoring and more pocket-friendly.

Although agri-cameras cover limited areas compared to drones, Cropler will help you choose highly representative locations for installation—one sensor can be sufficient for up to 80 ha.

If your NDVI calculations seem to be inaccurate, the problem can be in specific atmospheric conditions, the tool’s settings, too low or too high vegetation density, and others. The most common solutions include calibration, higher-resolution cameras, image stitching, or using other data sources together with NDVI.

NDVI values range from -1 to +1. A low NDVI of -1 to 0 or 0.1 indicates non-vegetated surfaces, 0.2 to 0.5 means sparse or stressed vegetation. Values of 0.6 to 0.8 indicate moderate to healthy vegetation, respectively, and 0.8 to 1.0 stands for dense vegetation. These numbers are approximate and can also be influenced by environmental conditions and technological capacity, so it’s important to calibrate the sensors properly and take atmospheric factors into account.