Agricultural production systems modelling and software: current status and future prospects

DP Holzworth, V Snow, S Janssen… - … Modelling & Software, 2015‏ - Elsevier
During the past decade, the application of agricultural production systems modelling has
rapidly expanded while there has been less emphasis on model improvement. Crop** …

[HTML][HTML] Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023‏ - mdpi.com
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

Future area expansion outweighs increasing drought risk for soybean in Europe

C Nendel, M Reckling, P Debaeke… - Global Change …, 2023‏ - Wiley Online Library
Abstract The European Union is highly dependent on soybean imports from overseas to
meet its protein demands. Individual Member States have been quick to declare self …

A scalable satellite-based crop yield mapper

DB Lobell, D Thau, C Seifert, E Engle, B Little - Remote Sensing of …, 2015‏ - Elsevier
New advances in satellite data acquisition and processing offer promise for monitoring
agricultural lands globally. Using these data to estimate crop yields for individual fields …

Crop modelling for integrated assessment of risk to food production from climate change

F Ewert, RP Rötter, M Bindi, H Webber, M Trnka… - … Modelling & Software, 2015‏ - Elsevier
The complexity of risks posed by climate change and possible adaptations for crop
production has called for integrated assessment and modelling (IAM) approaches linking …

Modeling the combined impacts of deficit irrigation, rising temperature and compost application on wheat yield and water productivity

Z Ding, EF Ali, AM Elmahdy, KE Ragab… - Agricultural Water …, 2021‏ - Elsevier
Limited water resources and climate change in arid and semi-arid regions have negative
impacts on food and water security. Management of irrigation and compost may be used to …

Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt

SV Archontoulis, MJ Castellano, MA Licht… - Crop …, 2020‏ - Wiley Online Library
Abstract We used the Agricultural Production Systems sIMulator (APSIM) to predict and
explain maize and soybean yields, phenology, and soil water and nitrogen (N) dynamics …

Simulating long-term impacts of cover crops and climate change on crop production and environmental outcomes in the Midwestern United States

AD Basche, SV Archontoulis, TC Kaspar… - Agriculture, Ecosystems …, 2016‏ - Elsevier
It is critical to evaluate conservation practices that protect soil and water resources from
climate change in the Midwestern United States, a region that produces one-quarter of the …

Modeling long-term corn yield response to nitrogen rate and crop rotation

LA Puntel, JE Sawyer, DW Barker, R Dietzel… - Frontiers in plant …, 2016‏ - frontiersin.org
Improved prediction of optimal N fertilizer rates for corn (Zea mays L.) can reduce N losses
and increase profits. We tested the ability of the Agricultural Production Systems sIMulator …

The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2

Z **, Q Zhuang, J Wang, SV Archontoulis… - Global change …, 2017‏ - Wiley Online Library
Heat and drought are two emerging climatic threats to the US maize and soybean
production, yet their impacts on yields are collectively determined by the magnitude of …