This paper explores the potential of smart crop management based on the incorporation of
tools like digital agriculture, which considers current technological tools applied in …

Accurate and reliable estimation of Reference Evapotranspiration (ETo) is crucial for water
resources management, hydrological processes, and agricultural production. The FAO-56 …

Artificial Intelligence (AI) is a game-changing capability in industrial markets that can
accelerate humanity's race against climate change. Positioned in a resource-hungry and …

As the global population continues to grow and environmental conditions become
increasingly unpredictable, meeting the demands for food becomes increasingly difficult. To …

To enable highly automated manufacturing and net-zero carbon emissions, manufacturers
have invested heavily in smart manufacturing. Sustainable and smart manufacturing …

Reference Evapotranspiration (ET o) is the cornerstone of efficient water utilization for
sustainability in agriculture. The standard Penman–Montieth (PM) approach of Reference …

Artificial intelligence (AI) as a simulation approach is increasingly being used in precision
agriculture. The current study evaluated the performance of five methods for estimating …

Accurately estimating of soil moisture content (SMC) is essential for effective irrigation water
management and optimizing plant water productivity. Recent advancements in multi-sensor …

In this study, the integration of IoT technology and machine learning (ML) algorithms with
precision agriculture are studied, with an emphasis on optimizing irrigation management …

Accurately estimating and forecasting short-term daily reference crop evapotranspiration (ET
o) is crucial for real-time irrigation decision-making and regional agricultural water …