B.F. Schaap

A robust machine learning approach to SDG data segmentation

Analysis & prognosis of sustainable development goals using big data-based approach during COVID-19 pandemic

Climate variation explains a third of global crop yield variability

Climate change impacts on natural toxins in food production systems, exemplified by deoxynivalenol in wheat and diarrhetic shellfish toxins

A review of statistically-based landslide susceptibility models

Soil quality – A critical review

Variation of Malva sylvestris essential oil yield, chemical composition and biological activity in response to different environments across Southern Italy

Worldwide contamination of food-crops with mycotoxins: Validity of the widely cited ‘FAO estimate’ of 25%

Antioxidant, Antimicrobial and Antiviral Properties of Herbal Materials

Food systems are responsible for a third of global anthropogenic GHG emissions

Techniques, issues and advances in numerical modelling of landslide hazard

Resilience as a universal criterion of health

Maize yield in Mexico under climate change

IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry

Climate change increases deoxynivalenol contamination of wheat in north-western Europe

Recommendations for the quantitative analysis of landslide risk

Assessing Sustainable Food and Nutrition Security of the EU Food System—An Integrated Approach

Coincidence of variation in yield and climate in Europe

How can we improve agriculture, food and nutrition with open data?

Reconstructing high-magnitude/low-frequency landslide events based on soil redistribution modelling and a Late-Holocene sediment record from New Zealand

Participatory design of farm level adaptation to climate risks in an arable region in The Netherlands

GODAN's Impact 2014-2018 – Improving Agriculture, Food and Nutrition with Open Data