Climate change challenges efforts to maintain and improve crop production in many regions.
In this Review, we examine yield responses to warmer temperatures, elevated carbon …

Strategic planning for global agricultural R&D is hampered by a lack of comparable data on
target populations. Surprisingly, even the global number of crop-specific farms are …

Potential climate-related impacts on future crop yield are a major societal concern. Previous
projections of the Agricultural Model Intercomparison and Improvement Project's Global …

An increase in nitrogen (N) recovery efficiency, also denoted as N use efficiency (NUEr), is
crucial to reconcile food production and environmental health. This study assessed the …

Executive Summary The Agriculture, Forestry and Other Land Use1 (AFOLU) sector
encompasses managed ecosystems and offers significant mitigation opportunities while …

COVID-19 pandemic movement restrictions as part of the control measures put in place by
countries in Sub-Saharan Africa (SSA) has implications on food security, as movement …

Abstract Agriculture in West Africa faces the challenge of meeting the rising demand for food
as national incomes and populations increase while production becomes more uncertain …

Reinforcement learning (RL), including multi-armed bandits, is a branch of machine learning
that deals with the problem of sequential decision-making in uncertain and unknown …

Extreme climate events can have a significant negative impact on maize productivity,
resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed …

Linked climate and crop simulation models are widely used to assess the impact of climate
change on agriculture. However, it is unclear how ensemble configurations (model …