Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives

R Sharma, SS Kamble, A Gunasekaran - Computers and Electronics in …, 2018 - Elsevier
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 …

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 …

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 …

E Coucheney, S Buis, M Launay, J Constantin… - … Modelling & Software, 2015 - Elsevier
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 …

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 …

R Li, M Xu, Z Chen, B Gao, J Cai, F Shen, X He… - Soil and Tillage …, 2021 - Elsevier
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 …

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 …

Machine-learned prediction of annual crop planting in the US Corn Belt based on historical crop planting maps

C Zhang, L Di, L Lin, L Guo - Computers and Electronics in Agriculture, 2019 - Elsevier
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 …

[HTML][HTML] Assessment of a Markov logic model of crop rotations for early crop mapping

J Osman, J Inglada, JF Dejoux - Computers and Electronics in Agriculture, 2015 - Elsevier
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 …

[HTML][HTML] Modeling high-resolution climate change impacts on wheat and maize in Italy

V Mereu, A Gallo, A Trabucco, G Carboni… - Climate Risk …, 2021 - Elsevier
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 …

AquaData and AquaGIS: two computer utilities for temporal and spatial simulations of water-limited yield with AquaCrop

IJ Lorite, M García-Vila, C Santos… - … and Electronics in …, 2013 - Elsevier
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 …

[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 …