This paper presents an innovative deployment strategy for a power-aware and delay-aware
TinyML model optimized for agricultural soil quality monitoring and management. The …

The comprehensive and robust assessment of diverse global-scale satellite-based soil
moisture (SM) products from various satellite data sources (eg, different frequencies and …

The agricultural productivity and the optimized use of water resources rely on the soil
moisture (SM) retrieval to achieve some of the sustainable development goals, such as …

Soil moisture is a critical parameter that is relevant to several activities such as agriculture
and disaster management (eg, drought, floods, water stress periods, etc.) 1. Thus, it has a …

The spatial resolution of existing satellite soil moisture products is very coarse (~ 25 km),
and thus there is usually significant spatial heterogeneity in the land surface covered by …

The assessment of satellite products over agricultural areas has several challenges that get
more complex in developing countries, particularly when exploiting active observation. The …

Soil moisture is a crucial parameter in integrated soil sciences, particularly in agriculture.
Recognizing its significance, missions such as the NASA SMAP are dedicated to …

The monitoring of agricultural areas is challenging because the fast phenological changes.
Satellite sensors are a powerful tool to monitor agricultural lands because of their capacity of …

Recently, the efforts to obtain Soil Moisture (SM) global measurements, at high spatial
resolution, have been increasing several years ago. As a result, there are many techniques …

An dequate resource management allows for better crop yields. Observing system
simulations experiments (OSSE) have recently emerged as a useful tool to evaluate new …