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 …

Agricultural systems science generates knowledge that allows researchers to consider
complex problems or take informed agricultural decisions. The rich history of this science …

Water is the most important limiting factor of cotton (Gossypium hirsutum L.) and wheat
(Triticum aestivum L.) cropping systems in semi-arid conditions of Southern Punjab. A two …

Soil-crop simulation models can be a valuable tool in evaluating conservation tillage
practices which are viable both economically and environmentally. The objective of this …

To meet rising global food demands, existing agricultural management strategies will need
to be transformed to mitigate the negative impacts of climate change on crop yields. Climate …

Cotton is one of the major cash crops in Xinjiang, an arid region in northwestern China. Most
cotton fields in this region are drip irrigated with plastic film mulch. However, few studies …

Identification of critical nitrogen (N) application rate can provide management supports for
ensuring grain yield and reducing amount of nitrate leaching to ground water. A five-year …

Maintain high agriculture production levels while reducing environmental impacts is of
primordial importance in intensive irrigated areas. Adequate management of water and …

Research based development of best management options for aerobic rice–maize cropping
systems must be developed to improve water and nitrogen use efficiency. The main …

Crop growth models integrate genotype, environment and management and can serve as
an analytical tool by which to study the influences of these factors on crop growth …