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cn report: Recently, BASF Digital Agriculture and Pessl Instruments (Pessl) signed an agreement to collaborate on research and development activities on a global scale, aiming to improve pest management in fruit and vegetable production , thereby improving Yield.
This collaboration combines Pessl's unique hardware and software features, especially its automated iSCOUT® pest traps, with the image recognition and analysis of BASF's digital agriculture market-leading xarvio® application.
By combining the experience, accurate data and advanced digital expertise provided by the two companies in pest management, farmers will obtain near-real-time field observations for the first time to further optimize crop production.
By combining the experience, accurate data and advanced digital expertise provided by the two companies in pest management, farmers will obtain near-real-time field observations for the first time to further optimize crop production.
The first project of the cooperation focused on pest monitoring of grapes and pome fruits, especially the activities of grape leaf rollers and codling moths, to conduct comprehensive pest monitoring and modeling.
The project started in early May 2021 and aims to establish a fully automated pest identification and monitoring service that will initially be linked to xarvio SCOUTING in Argentina, Brazil, Europe and India.
The project started in early May 2021 and aims to establish a fully automated pest identification and monitoring service that will initially be linked to xarvio SCOUTING in Argentina, Brazil, Europe and India.
The second project will focus on intercropping crops such as soybean, cotton and corn.
Focus on the observation and modeling of stink bugs, cotton bollworms and armyworms.
Focus on the observation and modeling of stink bugs, cotton bollworms and armyworms.
Bjoern Kiepe, Director of Agronomy at BASF Digital Agriculture, said: “One of the biggest challenges in fruit and vegetable production is to obtain timely field pest monitoring data and be able to accurately determine the hazardous or treatable stage of the pest’s life cycle.
By combining xarvio SCOUTING's image recognition and analysis with Pessl's iSCOUT pest automatic trap, we can solve this problem together.
Precision agriculture is beneficial to ensure more effective use of crop protection applications, which is beneficial to farmers, sustainability and biodiversity.
favorable.
By combining xarvio SCOUTING's image recognition and analysis with Pessl's iSCOUT pest automatic trap, we can solve this problem together.
Precision agriculture is beneficial to ensure more effective use of crop protection applications, which is beneficial to farmers, sustainability and biodiversity.
favorable.
Gottfried Pessl, founder and CEO of Pessl said: "Through the monitoring of pests, our goal is not only to pay attention to the types of insects and the number of infested plants, but also to help prevent damage in the first place.
With the help of artificial intelligence The backed precision agricultural equipment can pay more attention to field pressures and make better decisions.
Using the fully autonomous solar insect trap iSCOUT, pest risks can be monitored around the clock, and the data can be processed, and these data can be processed in near real time.
Sent to xarvio SCOUTING for image recognition.
It lays the foundation for farmers to improve insect monitoring and better control anytime, anywhere.
"
With the help of artificial intelligence The backed precision agricultural equipment can pay more attention to field pressures and make better decisions.
Using the fully autonomous solar insect trap iSCOUT, pest risks can be monitored around the clock, and the data can be processed, and these data can be processed in near real time.
Sent to xarvio SCOUTING for image recognition.
It lays the foundation for farmers to improve insect monitoring and better control anytime, anywhere.
"
In addition, BASF Digital Agriculture and Pessl expect to provide pest identification and monitoring services for grapes and pomegranate fruits from 2022.
