Understanding the patterns, processes, and causes of land use changes remains the core task and challenge of land system science (Rounsevell et al., 2012; Turner, Lambin, & Reenberg, 2007; Verburg, Erb, Mertz, & Espindola, 2013).

New findings on how proximity to urban areas affects patterns of rural employment, income levels, and agricultural intensification among households in rural Ghana.

Women belonging to the socially disadvantaged caste-groups in India have historically been engaged in labour-intensive, blue-collar work.

Predicting high-magnitude, low-frequency crop losses in the first half of the growing season can help identify need for early national and local interventions.

The food system community sees a huge potential for big data in agriculture to lift farmers out of poverty (Patel, 2013), and ensure that parents can feed their children nutritious, diverse foods (Lung’aho, 2018).

Cropland maps at regional or global scales typically have large uncertainty and are also inconsistent with each other. The substantial uncertainty in these cropland maps limits their use in research and management efforts.

Understanding the global distribution of agricultural production provides valuable context for policymaking concerning development, wellbeing, and climate change.

Insight into how the rice production system responds to external driving factors, both climate and socioeconomic.

Using crowdsourced near-surface remote sensing imagery to monitor winter wheat phenology and identify damage events in NW India.

Global and regional scale agricultural monitoring systems aim to provide up-to-date information regarding food production to different actors and decision makers in support of global and national food security.

L'enorme potentiel agricole de la Republique Democratiqu du Congo (RDC) est bien documente.

Crop modelling has the potential to contribute to global food and nutrition security.

Advanced parametric financial instruments, like weather index insurance (WII) and risk contingency credit (RCC), support disaster-risk management and reduction in the world’s most disaster-prone regions.

Reliable market accessibility data is critical to developing agricultural policies and investment plans for ensuring smallholder farmers’ market participation and their profitable farming, yet this data is less frequently updated.