Results 81 to 90 of about 5,796 (199)

Balancing Productivity and Climate Impact: A Framework to Assess Climate‐Smart Irrigation

open access: yesEarth's Future, Volume 13, Issue 11, November 2025.
Abstract Changes in rainfall and temperature regimes increasingly threaten global crop productivity, particularly in water‐limited regions. Climate‐smart agriculture aims to improve yields while minimizing its climate impact, such as from soil greenhouse gas (GHG) emissions driven by microbial activity.
Shashank Kumar Anand   +4 more
wiley   +1 more source

Assessing deficit irrigation strategies for corn using simulation [PDF]

open access: yes, 2016
Citation: Kisekka, I., Aguilar, J. P., Rogers, D. H., Holman, J., O'Brien, D. M., & Klocke, N. (2016). Assessing deficit irrigation strategies for corn using simulation. Transactions of the Asabe, 59(1), 303-317.
Aguilar, Jonathan P.   +5 more
core   +1 more source

Assessing Yield Gaps and Risks in Cropping Systems of Southern Brazil

open access: yesJournal of Agronomy and Crop Science, Volume 211, Issue 6, November 2025.
ABSTRACT While studies often focus on increasing yields of individual crops, optimising cropping systems through adjustments in crop type, frequency and timing can also enhance annual production. Extending the soybean sowing period, motivated by the search for higher yield potential and greater cropping system efficiency, complicates the ability of ...
Eduardo Lago Tagliapietra   +12 more
wiley   +1 more source

Spatial and Temporal On-Farm Risk Management - Crop Production Scheduling and Index Insurance Strategies [PDF]

open access: yes
An agronomic crop growth model, Decision Support System for Agro-Technology Transfer (DSSAT), is used to find optimal crop management strategies for cotton production in Mitchell, Miller, and Lee Counties in Georgia during the past 10 years.
Hoogenboom, Gerrit   +2 more
core   +1 more source

Spatiotemporal fusion for crop model assimilation: Linfen Basin case study, Chinese Loess Plateau

open access: yesAgronomy Journal, Volume 117, Issue 5, September/October 2025.
Abstract Spatiotemporal fusion addresses challenges in crop growth monitoring: namely, spatial discreteness of high‐resolution imagery and spectral mixing in high‐temporal‐frequency data. These can hinder accurate yield and phenology estimates, especially in fragmented semi‐arid landscapes.
Peng He   +8 more
wiley   +1 more source

Estimation of Cotton LAI and Yield Through Assimilation of the DSSAT Model and Unmanned Aerial System Images

open access: yesDrones
Cotton (Gossypium hirsutum L.) is a primary global commercial crop, and accurate monitoring of its growth and yield prediction are essential for optimizing water management.
Hui Peng   +6 more
doaj   +1 more source

Seed Corn Tournament Contracts and Excess Nitrogen Application [PDF]

open access: yes
Crop Production/Industries,
Baker, Timothy G.   +2 more
core   +1 more source

CSM‐IXIM: A New Maize Simulation Model for DSSAT Version 4.5

open access: yesAgronomy Journal, 2011
The CERES‐Maize model is the most widely used maize (Zea mays L.) model and is a recognized reference for comparing new developments in maize growth, development, and yield simulation. The objective of this study was to present and evaluate CSM‐IXIM, a new maize simulation model for DSSAT version 4.5.
Lizaso Oñate, Jon Iñaqui   +6 more
openaire   +2 more sources

Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain

open access: yesJournal of Integrative Agriculture, 2017
: Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil ...
Hai-long LIU   +10 more
doaj   +1 more source

Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation

open access: yesRemote Sensing, 2015
The combination of remote sensing and crop growth models has become an effective tool for yield estimation and a potential method for grain quality estimation.
Zhenhai Li   +6 more
doaj   +1 more source

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