Results 81 to 90 of about 5,796 (199)
Balancing Productivity and Climate Impact: A Framework to Assess Climate‐Smart Irrigation
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]
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
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]
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
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
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]
Crop Production/Industries,
Baker, Timothy G. +2 more
core +1 more source
CSM‐IXIM: A New Maize Simulation Model for DSSAT Version 4.5
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
: 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
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

