Optimization of irrigation scheduling is a widely proposed solution to enhance agricultural
water productivity and mitigate water scarcity. However, there is currently a lack of …

Artificial Intelligence (AI) is capable of enhancing water management for sustainable
farming. The growing demand for agricultural productivity and sustainability in the context of …

Integrating short-term weather forecasts with crop growth models has emerged as a
valuable decision-support tool for enhancing irrigation water productivity in water-intensive …

Soil pH and texture are valuable information for agriculture, supporting the achievement of
high productivity and low environmental impact, which is the basis for sustainable …

Soil moisture (SM) is a crucial hydrologic factor that affects the global cycle of energy,
carbon, and water, as well as plant growth and crop yield; therefore, an accurate estimate of …

Abstract The Northeast United States is a temperate region that has historically experienced
even rainfall distribution across the agricultural growing season. Due to climate change …

The adoption of sensors and other technologies in modern agricultural systems has led to
an increase in data availability for the optimization of crop management. Soil moisture (SM) …

The lack of soil moisture-based irrigation intervals, poor distribution of irrigation water
among users, and the time-based and spatial variability of water supply have been …

Accurate estimation of soil water content (SWC) is essential for effective agriculture and
water resources management. While various methods have been developed for in-situ SWC …

Multiple crop** is an effective measure to enhance the intensity of land use. The North
China Plain is one of China's most important grain production areas, with 70% of the arable …