Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives
The world population is estimated to reach nine billion by 2050. Many challenges are
adding pressure on the current agriculture supply chains that include shrinking land sizes …
adding pressure on the current agriculture supply chains that include shrinking land sizes …
Practices for upscaling crop simulation models from field scale to large regions
VS Manivasagam, O Rozenstein - Computers and Electronics in Agriculture, 2020 - Elsevier
Most crop models were developed and tested in homogeneous field conditions. However,
these crop models are increasingly applied beyond the field scale for larger regions …
these crop models are increasingly applied beyond the field scale for larger regions …
Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: evaluation over a wide range of agro-environmental conditions …
Soil–crop models are increasingly used as predictive tools to assess yield and
environmental impacts of agriculture in a growing diversity of contexts. They are however …
environmental impacts of agriculture in a growing diversity of contexts. They are however …
Phenology-based classification of crop species and rotation types using fused MODIS and Landsat data: The comparison of a random-forest-based model and a …
The spatial and temporal variations of crop species and rotation types play a key role in crop
yield estimation, natural resources management and climate change research. Remote …
yield estimation, natural resources management and climate change research. Remote …
Multi-Data Approach for remote sensing-based regional crop rotation mapping: A case study for the Rur catchment, Germany
G Waldhoff, U Lussem, G Bareth - … journal of applied earth observation and …, 2017 - Elsevier
Spatial land use information is one of the key input parameters for regional agro-ecosystem
modeling. Furthermore, to assess the crop-specific management in a spatio-temporal …
modeling. Furthermore, to assess the crop-specific management in a spatio-temporal …
Machine-learned prediction of annual crop planting in the US Corn Belt based on historical crop planting maps
An accurate crop planting map can provide essential information for decision support in
agriculture. The method of post-season and in-season crop mapping has been widely …
agriculture. The method of post-season and in-season crop mapping has been widely …
[HTML][HTML] Assessment of a Markov logic model of crop rotations for early crop mapping
Detailed and timely information on crop area, production and yield is important for the
assessment of environmental impacts of agriculture, for the monitoring of the land use and …
assessment of environmental impacts of agriculture, for the monitoring of the land use and …
[HTML][HTML] Modeling high-resolution climate change impacts on wheat and maize in Italy
The Mediterranean basin has been identified as a prominent hotspot of climate change, with
expected negative impacts on crop productivity, among others. Given the primary role that …
expected negative impacts on crop productivity, among others. Given the primary role that …
AquaData and AquaGIS: two computer utilities for temporal and spatial simulations of water-limited yield with AquaCrop
The crop simulation model AquaCrop, recently developed by FAO can be used for a wide
range of purposes. However, in its present form, its use over large areas or for applications …
range of purposes. However, in its present form, its use over large areas or for applications …
[HTML][HTML] Performance analysis of regional AquaCrop (v6. 1) biomass and surface soil moisture simulations using satellite and in situ observations
S de Roos, GJM De Lannoy… - Geoscientific Model …, 2021 - gmd.copernicus.org
The current intensive use of agricultural land is affecting the land quality and contributes to
climate change. Feeding the world's growing population under changing climatic conditions …
climate change. Feeding the world's growing population under changing climatic conditions …