Research

June 22, 2022 | Articles

Is autonomous, precision weed control near?

Precision agriculture (PA) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. It is a basis for more sustainable farming and highly depending on integration of technologies and knowledge. This column focusses on the state of art and challenges for weed detection and precision implements.

EU’s…

March 23, 2022 | Articles

Yield mapping of potatoes is key in future farming

Precision agriculture (PA) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. This column focusses on options, limitations and solutions to make potato crop growth and yield monitoring mainstream.

November 24, 2021 | Articles

Farm to Fork and potatoes; can we fork it?

Precision agriculture (PA) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. How do we bring it to the next level beyond ‘simple’ variable rate applications? We have to solve technical and organisational issues. Otherwise, the big promise of smart data use in AgriFood will only…

November 24, 2021 | Articles

HIP searches for markers and models for an increased potato yield

When it comes to potato cultivation, yield is of great importance. Therefore, any research focusing on increasing yields in potatoes creates high expectations. This is also observed by Dr Christian Bachem, who is researching Markers And Models for Yield (MAMY) as part of the Holland Innovative Potato (HIP) project.

November 11, 2021 | News

Four potato research projects awarded $2.6 million USDA-NIFA grants

NIFA recently awarded four Potato Research grants as part of their Special Research Grants program.

September 23, 2021 | Articles

Farmer central approach in data use

Precision agriculture (PA) is a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops. How do we bring it to the next level beyond ‘simple’ variable rate applications? We have to solve technical and organisational issues. Otherwise, the big promise of smart data use in AgriFood will only…