Relevant bibliographies by topics / STICS soil-crop model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'STICS soil-crop model'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'STICS soil-crop model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "STICS soil-crop model"

1

Ravelojaona, Nomena, Guillaume Jégo, Noura Ziadi, et al. "STICS Soil–Crop Model Performance for Predicting Biomass and Nitrogen Status of Spring Barley Cropped for 31 Years in a Gleysolic Soil from Northeastern Quebec (Canada)." Agronomy 13, no. 10 (2023): 2540. http://dx.doi.org/10.3390/agronomy13102540.

Full text
Abstract:
Spring barley (Hordeum vulgare L.) is an increasingly important cash crop in the province of Quebec (Canada). Soil–crop models are powerful tools for analyzing and supporting sustainable crop production. STICS model has not yet been tested for spring barley grown over several decades. This study was conducted to calibrate and evaluate the STICS model, without annual reinitialization, for predicting aboveground biomass and N nutrition attributes at harvest during 31 years of successive cropping of spring barley grown in soil (silty clay, Humic Gleysol) from the Saguenay–Lac-Saint-Jean region (n
APA, Harvard, Vancouver, ISO, and other styles
2

Bourdin, F., F. J. Morell, D. Combemale, P. Clastre, M. Guérif, and A. Chanzy. "A tool based on remotely sensed LAI, yield maps and a crop model to recommend variable rate nitrogen fertilization for wheat." Advances in Animal Biosciences 8, no. 2 (2017): 672–77. http://dx.doi.org/10.1017/s2040470017000887.

Full text
Abstract:
Inversing the STICS crop model with remote-sensing-derived leaf area index (LAI) and yield data from the previous crop is used to retrieve some soil permanent properties and crop emergence parameters. Spatialized nitrogen (N) fertilization recommendations are provided to farmers, for the second and third N applications, following the screening of eleven N application rates under a range of possible forthcoming climates, with the objective to maximize of the gross margin while respecting some environmental constraints. As a first field validation, we show (1) the improvement brought by the assi
APA, Harvard, Vancouver, ISO, and other styles
3

Valdés-Gómez, Héctor, Florian Celette, Iñaki García de Cortázar-Atauri, Francisco Jara-Rojas, Samuel Ortega-Farías, and Christian Gary. "Modelling soil water content and grapevine growth and development with the stics crop-soil model under two different water management strategies." OENO One 43, no. 1 (2009): 13. http://dx.doi.org/10.20870/oeno-one.2009.43.1.806.

Full text
Abstract:
<p style="text-align: justify;"><strong>Background and aims</strong>: Many models have been developed to evaluate crop growth and development, but few are capable of simulating grapevine systems. The present study was carried out to evaluate the ability of the STICS model to represent grapevine phenology, biomass production, yield and soil water content in two situations differing with respect to rainfall distribution and water management strategies.</p><p style="text-align: justify;"><strong>Methods and results</strong>: Simulations were performed for
APA, Harvard, Vancouver, ISO, and other styles
4

Tribouillois, Hélène, Julie Constantin, and Eric Justes. "Analysis and modeling of cover crop emergence: Accuracy of a static model and the dynamic STICS soil-crop model." European Journal of Agronomy 93 (February 2018): 73–81. http://dx.doi.org/10.1016/j.eja.2017.12.004.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wallach, D., S. Buis, P. Lecharpentier, et al. "A package of parameter estimation methods and implementation for the STICS crop-soil model." Environmental Modelling & Software 26, no. 4 (2011): 386–94. http://dx.doi.org/10.1016/j.envsoft.2010.09.004.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Valade, A., P. Ciais, N. Vuichard, et al. "Modeling sugarcane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values." Geoscientific Model Development 7, no. 3 (2014): 1225–45. http://dx.doi.org/10.5194/gmd-7-1225-2014.

Full text
Abstract:
Abstract. Agro-land surface models (agro-LSM) have been developed from the integration of specific crop processes into large-scale generic land surface models that allow calculating the spatial distribution and variability of energy, water and carbon fluxes within the soil–vegetation–atmosphere continuum. When developing agro-LSM models, particular attention must be given to the effects of crop phenology and management on the turbulent fluxes exchanged with the atmosphere, and the underlying water and carbon pools. A part of the uncertainty of agro-LSM models is related to their usually large
APA, Harvard, Vancouver, ISO, and other styles
7

Valade, A., P. Ciais, N. Vuichard, et al. "Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values." Geoscientific Model Development Discussions 7, no. 1 (2014): 1197–244. http://dx.doi.org/10.5194/gmdd-7-1197-2014.

Full text
Abstract:
Abstract. Agro-Land Surface Models (agro-LSM) have been developed from the integration of specific crop processes into large-scale generic land surface models that allow calculating the spatial distribution and variability of energy, water and carbon fluxes within the soil-vegetation-atmosphere continuum. When developing agro-LSM models, a particular attention must be given to the effects of crop phenology and management on the turbulent fluxes exchanged with the atmosphere, and the underlying water and carbon pools. A part of the uncertainty of Agro-LSM models is related to their usually larg
APA, Harvard, Vancouver, ISO, and other styles
8

Saadi, Sameh, Elizabeth Pattey, Guillaume Jégo, and Catherine Champagne. "Prediction of rainfed corn evapotranspiration and soil moisture using the STICS crop model in eastern Canada." Field Crops Research 287 (October 2022): 108664. http://dx.doi.org/10.1016/j.fcr.2022.108664.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sow, Sidy, Yolande Senghor, Khardiatou Sadio, et al. "Calibrating the STICS soil-crop model to explore the impact of agroforestry parklands on millet growth." Field Crops Research 306 (February 2024): 109206. http://dx.doi.org/10.1016/j.fcr.2023.109206.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Demestihas, Constance, Daniel Plénet, Michel Génard, et al. "Analyzing ecosystem services in apple orchards using the STICS model." European Journal of Agronomy 94 (March 2018): 108–19. http://dx.doi.org/10.1016/j.eja.2018.01.009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "STICS soil-crop model"

1

Ravelojaona, Nomena. "Evaluation of STICS model performance for long-term simulation of biomass production and nitrogen nutrition of spring barley and timothy cultivated in two important agricultural regions in Quebec (Canada)." Electronic Thesis or Diss., Bordeaux, 2023. http://www.theses.fr/2023BORD0503.

Full text
Abstract:
L’orge de printemps (Hordeum vulgare L.) et la fléole des prés (Phleum pratense L.) sont des cultures de première importance économique pour la Province du Québec et d’autres régions de climat continental froid et humide (Amérique du Nord, les pays nordiques…). Les modèles sol-culture sont des outils puissants capables de calculer de nombreuses variables d’intérêt agronomique et environnemental. Ils sont conçus pour simuler les interactions complexes entre les cultures, l'eau et l'azote (N) du sol dans le continuum sol–plante–atmosphère. Entre autres modèles, STICS est un modèle sol–culture ba
APA, Harvard, Vancouver, ISO, and other styles
2

Varella, Hubert Vincent. "Inversion d’un modèle de culture pour estimer spatialement les propriétés des sols et améliorer la prédiction de variables agro-environnementales." Thesis, Avignon, 2009. http://www.theses.fr/2009AVIG0638/document.

Full text
Abstract:
Les modèles de culture constituent des outils indispensables pour comprendre l’influence des conditions agropédoclimatiques sur le système sol-plante à différentes échelles spatiales et temporelles. A l’échelle locale de la parcelle agricole, le modèle peut être utilisé dans le cadre de l’agriculture de précision pour optimiser les pratiques de fertilisation azotée de façon à maximiser le rendement ou le revenu tout en minimisant le lessivage des nitrates vers la nappe. Cependant, la pertinence de l’utilisation du modèle repose sur la qualité des prédictions réalisées, basée entre autres sur u
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "STICS soil-crop model"

1

Ebbisa, Addisu. "Application of Crop Modeling in Multi-Cropping Systems for Maximize Production and Build Resilient Ecosystem Services." In Resource Management in Agroecosystems [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110742.

Full text
Abstract:
One of the main challenges in the transition to more sustainable agriculture is designing and selecting agricultural systems that are stable and perturbation resistant. Crop diversification is now recognized as a decisive part of sustainable agroecological development. It is one of the crucial agroecological practices that prove ecosystem services such as nutrient cycling, biological N fixation, pest and disease regulation, erosion control, climate regulation, soil fertility maintenance, biodiversity conservation, and carbon sequestration. To maximize these desired outcomes, understanding, des
APA, Harvard, Vancouver, ISO, and other styles
2

Varella, Hubert, Martine Guerif, and Samuel Buis. "Estimation of Soil Properties Using Observations and the Crop Model STICS. Interest of Global Sensitivity Analysis and Impact on the Prediction of Agro-Environmental Variables." In Advances in Geoscience and Remote Sensing. InTech, 2009. http://dx.doi.org/10.5772/8342.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "STICS soil-crop model"

1

Lammoglia, S. K., Chanzy A, and Guerif M. "Characterizing soil hydraulic properties from Sentinel 2 and STICS crop model." In 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2019. http://dx.doi.org/10.1109/metroagrifor.2019.8909266.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'STICS soil-crop model' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography