Vineyard monitoring thanks to a new intelligent system
A multidisciplinary team led by researchers from the Institute of Systems and Robotics (ISR) of the Faculty of Science and Technology of the University of Coimbra (FCTUC) explored new technological approaches to vineyard management, paving the way for the development of non-invasive methods. and effective surveillance systems that allow immediate and targeted action to be taken in the event of diseases and pests, to improve production and reduce the harmful impact on the environment, writes the Portuguese university in a press release .
The study had the participation of researchers from the Institute of Systems and Computer Engineering (INESC Coimbra) and the Agrarian School of Coimbra (ESAC) within the framework of the AI+Green project – Intelligent Automation in Precise Agriculture, funded by MIT-Portugal and the Portuguese Foundation for Science and Technology, which aims to improve the accuracy and reliability of monitoring and detecting pests and diseases in vineyards.
Two useful cameras for monitoring vineyards
Three vineyards in the Centro region – Coimbra, Valdoeiro and Quinta de Baixo – managed according to conventional practices, but with different biophysical characteristics, were studied for 12 months. The approaches explored and tested by the scientists relied on Deep Learning systems (deep learning, artificial intelligence), using spatio-temporal information obtained through remote sensing (satellite) and drones.
The study presents good arguments for the use of a dual camera for data collection in vineyards – using an unmanned aerial system (UAS) equipped with a dual imaging sensor payload, namely a high-definition RGB camera and a five-band multispectral and thermal camera – contributing to the development of precision agriculture, because “promoting more efficient agriculture is essential to improving food quality and safety without compromising environmental sustainability. Although this sector has benefited modestly from technological advances in other sectors such as manufacturing, robotics, smart vehicles, etc., it remains a predominantly manual and inefficient sector. Precision agriculture promotes the use of technology (software and hardware) in applications such as crop protection, monitoring and management,” says Tiago Barros