Pt Blog

PestTrap, Eye In Your Field: A Device that will make your life easier & Safeguard your crops

Published on 08 June 2023

Why control pests on your land physically when you can handle everything over the phone?
Doing this process is much simpler than you think. Let's take a closer look at PestTrap!

PestTrap consists of a good-resolution camera, a sticky trap, and a chemical pheromone. In addition, there are sensors on it that measure air temperature and humidity. These components primarily allow you to control the pest population at any time of the day without going to the field. However, this is just one of the features of PestTrap.

The camera, the sticky trap, the pheromones, and the sensors, are all long-existing technologies. Smart agriculture is not just having these products on your land and observing your land instantly. Smartening starts exactly after this data is taken from your land. The processed and presented numerical data from your land through images also helps determine your future management decisions.

Our recommendations for your plant protection decisions

The first sighting dates of the pests are recorded, and spraying and population cycle projections are provided. These are processed and shown as recommendations for your plant protection decisions. While determining these decisions, real-time meteorological data obtained from the sensors on the device are used as well. These studies are provided by strong and dynamic data scientists, meteorologists, and entomologists working at Doktar. Using the relationship between meteorological factors and the development of insects predicts the dates when insects will appear.

So PestTrap recommends suitable dates for your spraying!

How does this smart device work?

PestTrap scans photos, tags each type of pest, and counts the number of pest types for each photo. When the risk of harm increases, it sends you a notification. The notifications are crucial in decision management for pests. It is explained that humans can make decisions, consciously or unconsciously, like algorithms. The difference between humans and software is that while software can load all the knowledge and experience available, even the most advanced human beings have limited information to process when making decisions. Algorithms can reach the most accurate decision by processing many scenarios in seconds. 

In addition, another difference between software, smart machines, and algorithms is that they do not have emotions. Emotions, instincts, suspicions, and prejudices gained through bad experiences can sometimes lead us to success in our communication with people, but these should be set aside when it comes to farming since what we are dealing with in agriculture are biological entities.

The development and growth of plants and changes in pest populations depend on scientifically determined situations. When we look very closely at them, sometimes we may not see what caused them, but algorithms that consider all components can predict this with high success using the data they obtained without any difficulty.

Come and take a look at our products! Don't wait for someone else to come for innovations, don't be afraid to be a pioneer. Save money on land visitations over spraying and pest control using outdated traditional methods.

Let your smart colleague PestTrap do it for you and take your time to grow your business and increase your profitability!

From Blog

The latest industry news, interviews, technologies, and resources.

How CropMap Detects Grain, Silage and Second-Corn
How CropMap Detects Grain, Silage and Second-Corn

While grain corn is grown for human consumption or industrial use, silage corn is primarily used as animal feed. First-crop corn is typically sown and harvested once a year, whereas second-crop corn represents a second harvest within the same year. CropMap is a data analysis and management application that relies on a harvest tracking algorithm and is utilized in agricultural fields. Detection algorithms are employed to differentiate between grain and silage corn, as well as to monitor the stages of crop growth and harvest. The CropMap application plays a significant role in optimizing agricultural processes and assisting farmers in making data-based decisions.

19 April 2024
How to Monitor Crop Health?
How to Monitor Crop Health?

Crop health monitoring entails leveraging various technologies to evaluate crop conditions and identify indications of stress, disease, or other concerns. A crop health monitoring system is built to help farmers identify visible diseases in the crop leaf and monitor the pest populace in the field. The goal of data collection is to limit the disease's spread throughout the field. It stands as a cornerstone for bolstering yields and fostering sustainable agricultural practices while curbing expenses through precise watering and pesticide application management. At Doktar, we are committed to pioneering advancements in agricultural technology and ensuring our products remain at the forefront of innovation.

17 April 2024
Optimizing Irrigation with IoTrack: How to Solve Irrigation Inefficiencies
Optimizing Irrigation with IoTrack: How to Solve Irrigation Inefficiencies

Unlock the potential of precision agriculture to save water, improve yields, and cut costs through real-time soil moisture monitoring with Filiz and IoTrack.

26 March 2024