Remote sensing for irrigated agriculture: examples from research and possible applications

By Wim G. M. Bastiaanssen, D. Molden, I. Makin. 2000

505 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/08fd3998d49dffdb9cfe33d209b1a36ef67eb40c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Environmental Engineering

In Global and Planetary Change

Citations in the corpus

Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges (2015, background): “, 2010), remote sensing (Bastiaanssen et al., 2000;Morais et al., 2008; Ye et al., 2013), context-aware computing (Moghaddam et al.”
A review of the use of convolutional neural networks in agriculture (2018, background): “Emerging ICT technologies relevant for understanding agricultural ecosystems include remote sensing (Bastiaanssen et al ., 2000), the Internet of Things (IoT) (Weber and Weber, 2010), cloud computing (Hashem et al ., 2015) and big data analysis (Chi et al ., 2016; Kamilaris et al ., 2017).”
Remote Sensing and Cropping Practices: A Review (2018, background): “Remote sensing can provide valuable information related to irrigation that can be applied to water management planning and evaluation, including water use, performance diagnosis, strategic planning, and impact assessment [97].”
Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region (2007, background): “It has been shown that remotely sensed spectral reflectance may provide an indirect estimate for crop coefficient Kc (e.g. Bausch, 1993; Gutman, 1999; Bastiaanssen et al., 2000).”
Evolving water science in the Anthropocene (2013, background): “Finally, good water governance is not only the responsibility of the public sector – the private sector can and should play a significant role as well.”
Remote Sensing of Irrigated Agriculture: Opportunities and Challenges (2010, background): “nature of irrigation often sets the stage for under-reporting of water use; this is especially true in countries that share resources across borders with their neighbors [18].”
Deep learning in agriculture: A survey (2018, background): “Largerscale observation is facilitated by remote sensing (Bastiaanssen et al., 2000), performed by means of satellites, airplanes and unmanned aerial vehicles (UAV) (i.”
Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China (2013, background): “In addition, remote sensing can also be used to investigate agriculture [6,7], fishery [8,9] and forestry [10], which are important components of a country’s economy.”
Internet of things for smart agriculture: Technologies, practices and future direction (2017, background): “In this regard, Internet of Things (IoT) [1,21,44,46–51, 53,57,59], ubiquitous computing, wireless ad-hoc and sensor networks [14,31,33,66,78], Radio Frequency Identifier [55], cloud computing [12,38], remote sensing [6,35], etc.”