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News Wire / science

German University Develops Rapeseed Seed Classifier

Radio La Red Argentina Bielefeld 16d12d Impact 5

Researchers near Bielefeld, Germany, are testing how artificial intelligence can optimize the production and distribution of seeds. The development aims to automate a process that is currently labor-intensive and requires examining large numbers of samples. The mobile application uses photos to recognize plant pests and diseases, even in rural areas without internet connectivity. The system was tested in Cameroon to assist farmers in identifying crop issues. Image files were specifically prepared to allow the app to function offline in remote locations. A farmer named Ramu has been using a specific application for two years to monitor plant progress. This development follows efforts to address food security challenges in regions like Cameroon where 23% of the population lives below the poverty line.

Researchers near Bielefeld, Germany, are testing how artificial intelligence can optimize the production and distribution of seeds. The development aims to automate a process that is currently labor-intensive and requires examining large numbers of samples. The mobile application uses photos to recognize plant pests and diseases, even in rural areas without internet connectivity. The system was tested in Cameroon to assist farmers in identifying crop issues. Image files were specifically prepared to allow the app to function offline in remote locations. A farmer named Ramu has been using a specific application for two years to monitor plant progress. This development follows efforts to address food security challenges in regions like Cameroon where 23% of the population lives below the poverty line. Experts note that automation may cause job losses in harvesting while creating new roles in technology and maintenance. The integration of AI into agriculture presents both social challenges and economic opportunities. Designer Benjamin Kiesliuk and the Val de Marysu robot are contributing to the research process. The project utilizes wide-angle lens cameras to capture data for the AI analysis. Future integration of AI could automate this classification work.

Topics

artificial intelligence agriculture food security

Developing

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Sources · 7 independent

Radio La Red Argentina

“La inteligencia artificial puede ayudar a optimizar la producción y distribución de semillas. Las semillas de colza que se prueban aquí podrían ser claves para las generaciones venideras.”

Radio La Red Argentina

“The robot Val de Marys, its designer Benjamin... we can see each seed inside the pods with much more precision and faster than a human.”

Radio La Red Argentina

“En la Universidad de Ciencias Aplicadas de Bielefeld desarrollan una máquina clasificadora que separa en una fracción de segundos lo que es colza y lo que no.”

Radio La Red Argentina

“Optimizar los rendimientos agrícolas y desarrollar sistemas de alerta temprana ante hambrunas. Cuando regresó a Camerún, desarrolló una aplicación que reconoce plagas y enfermedades de las plantas, a partir de fotos, en todas partes.”

Radio La Red Argentina

“El agricultor Ramu lleva dos años utilizándola en sus campos. Hasta ahora todo va bien, solo queda esperar.”

Radio La Red Argentina

“la inteligencia artificial controla de forma independiente el sistema de riego y las ventanas”

Radio La Red Argentina

“La IA puede automatizar algunos trabajos de recolección provocando pérdidas de empleo, pero también puede crear nuevos puestos de trabajo en tecnología y mantenimiento.”

Radio La Red Argentina

“En estos campos cerca de Bühlefeld, en el noreste de Alemania, investigan cómo hacerlo. Las semillas de colza que se prueban aquí podrían ser claves para las generaciones venideras.”

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