Efficient agricultural water management is essential due to increasing pressure on global water resources. To support environmentally sustainable farming water management, a detailed review of existing research on data-driven irrigation systems is conducted. The review paper reviews present advancements, challenges, and future directions based on extensive peer-reviewed studies on variable-rate irrigation (VRI), machine learni...

Accurate and energy-efficient localization of autonomous underwater vehicles (AUVs) remains a fundamental challenge due to the complex, bandwidth-limited, and highly dynamic nature of underwater acoustic environments. This paper proposes a fully adaptive deep reinforcement learning (DRL)-driven localization framework for AUVs operating in Underwater Acoustic Sensor Networks (UAWSNs). The localization problem is formulated as a...

While pandemic-related income shock (IS) compromises societal well-being by leading to food insecurity (FI) in developing countries, evaluating the spatial inequities of IS, FI, and their significant driving factors is imperative for informed and targeted interventions. In this context, we explore spatial disparities in IS and FI, model significant factors driving IS, and examine the potential association between FI and IS in...