Research graph
References from Systematic synthesis of process-based vegetable crop modeling frameworks and implementations. Local targets link to admitted publications; unresolved targets remain external evidence.
The effects of saline irrigation water management and salt tolerant tomato varieties on sustainable production of tomato in Syria (1999–2002)
10.1016/j.agwat.2005.04.024 · 2005 · External reference
Optimizing tomato water and fertilizer uses in smallholder farms in South Africa using the Piloten Model
10.1002/ird.2071 · 2020 · External reference
Evaluation and adaptation of TOMGRO model to Italian tomato protected crops
10.1080/01140671.2011.623706 · 2012 · External reference
Evaluation of the soil crop model STICS over 8 years against the “on farm” database of Bruyères catchment
10.1016/j.eja.2008.03.001 · 2008 · External reference
Prediction of greenhouse tomato yield using artificial neural networks combined with sensitivity analysis
2022 · External reference
Estimation of tomato yield gaps for greenhouse in Uruguay
2020 · External reference
Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk
10.1016/j.scitotenv.2015.07.035 · 2016 · External reference
Genetic Coefficients in the CROPGRO – Soybean Model: Links to Field Performance and Genomics
2003 · External reference
Improving the CROPGRO-Tomato Model for Predicting Growth and Yield Response to Temperature
10.21273/hortsci.47.8.1038 · 2012 · External reference
Simulation of Maize Yield under Water Stress with the EPICphase and CROPWAT Models
10.2134/agronj2000.924679x · 2000 · External reference
Simulating yield and water use of a sorghum–cowpea intercrop using APSIM
10.1016/j.agwat.2016.08.021 · 2016 · External reference
Application of the CSM-CROPGRO-Dry bean model to optimize irrigation as a function of sowing date in common bean cultivars
10.1016/j.fcr.2023.108840 · 2023 · External reference
A decision support system (GesCoN) for managing fertigation in vegetable crops. Part II—model calibration and validation under different environmental growing conditions on field grown tomato
10.3389/fpls.2015.00495 · 2015 · External reference
Observed and modeled response of water yam (Dioscorea alata L.) to nitrogen supply: Consequences for nitrogen fertilizer management in the humid tropics
10.1016/j.eja.2022.126536 · 2022 · External reference
Adaptation of the STICS intercrop model to simulate crop growth and N accumulation in pea–barley intercrops
10.1016/j.fcr.2009.04.007 · 2009 · External reference
ALCEPAS, an onion growth model based on SUCROS87. II. Validation of the model
10.1080/14620316.1994.11516483 · 1994 · External reference
Calibration and validation of a biological model to simulate the development and production of tomatoes in Mediterranean greenhouses during winter period
10.1016/j.biosystemseng.2009.01.004 · 2009 · External reference
Simulation of onion crop behavior under optimized regulated deficit irrigation using MOPECO model in a semi-arid environment
10.1016/j.agwat.2012.06.019 · 2012 · External reference
The modelled photosynthetic effects of different light colours on tomato crop growth and production
10.17660/actahortic.2017.1182.21 · 2017 · External reference
Radiation capture and radiation use efficiency in response to N supply for crop species with contrasting canopies
10.1016/j.fcr.2013.06.014 · 2013 · External reference
Evaluation of the VegSyst model with muskmelon to simulate crop growth, nitrogen uptake and evapotranspiration
10.1016/j.agwat.2011.09.008 · 2011 · External reference
Adaptation of VegSyst-DSS for macronutrient recommendations of fertigated, soil-grown, greenhouse vegetable crops
10.1016/j.agwat.2022.107973 · 2023 · External reference
Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate
10.1016/j.agwat.2009.07.013 · 2009 · External reference
Simulserre: an educational software simulating the greenhouse-crop system
10.17660/actahortic.1998.456.54 · 1998 · External reference
HORTISIM: a model for greenhouse crops and greenhouse climate
10.17660/actahortic.1998.456.53 · 1998 · External reference
VegSyst, a simulation model of daily crop growth, nitrogen uptake and evapotranspiration for pepper crops for use in an on-farm decision support system
10.1007/s00271-011-0312-2 · 2013 · External reference
Computer simulation of a single truss tomato cropping system
10.13031/2013.30840 · 1988 · External reference
A novel integrated framework to evaluate greenhouse energy demand and crop yield production
10.1016/j.rser.2018.06.046 · 2018 · External reference
Studies of evolutionary algorithms for the reduced Tomgro model calibration for modelling tomato yields
2021 · External reference
Simulating crop–parasitic weed interactions using APSIM: Model evaluation and application
10.1016/j.eja.2005.10.002 · 2006 · External reference
Drought impact on rainfed common bean production areas in Brazil
10.1016/j.agrformet.2016.05.010 · 2016 · External reference
Evaluation of a Dynamic Simulation Model for Tomato Crop Growth and Development
10.1006/anbo.1998.0832 · 1999 · External reference
A dynamic tomato growth and yield model (TOMGRO)
10.13031/2013.31715 · 1991 · External reference
Global vegetable intake and supply compared to recommendations: a systematic review
10.3390/nu12061558 · 2020 · External reference
An overview of APSIM, a model designed for farming systems simulation
10.1016/s1161-0301(02)00108-9 · 2003 · External reference
Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia
10.3390/w10050666 · 2018 · External reference
WHCNS-Veg Modelling of N2O, NH3 and NO3− Dynamics in a Vegetable Production System under Different Fertilization and Irrigation Regimes
10.3390/atmos13081289 · 2022 · External reference
Modeling the effects of long-term reduced N application on soil N losses and yield in a greenhouse tomato production system
10.1016/j.agsy.2020.102951 · 2020 · External reference
Developing a water and nitrogen management model for greenhouse vegetable production in China: Sensitivity analysis and evaluation
10.1016/j.ecolmodel.2017.10.016 · 2018 · External reference
An Integrated Yield Prediction Model for Greenhouse Tomato
10.3390/agronomy9120873 · 2019 · External reference
Modeling soil organic carbon and yam yield under different agronomic management across spatial scales in Ghana
10.1016/j.fcr.2020.108018 · 2021 · External reference
Parameterisation and evaluation of the FAO-AquaCrop model for a South African taro (Colocasia esculenta L. Schott) landrace
10.1016/j.agrformet.2014.03.013 · 2014 · External reference
A Simple Mass Balance Model for Lettuce - The Water Balance
10.3182/20120711-3-be-2027.00216 · 2012 · External reference
Sorghum and sunflower evapotranspiration and yield from simulated leaf area index
10.1016/s0378-3774(97)00029-2 · 1997 · External reference
Simulation of faba bean ( Vicia faba L.) root system development under Mediterranean conditions
10.1016/s1161-0301(98)00044-6 · 1998 · External reference
A simulation model for dry matter partitioning in cucumber
10.1093/aob/74.1.43 · 1994 · External reference
Evaluation under commercial conditions of a model of prediction of the yield and quality of cucumber fruits
10.1016/s0304-4238(98)00156-3 · 1998 · External reference
Water yam (Dioscorea alata L.) growth and yield as affected by the planting date: Experiment and modelling
10.1016/j.eja.2011.02.002 · 2011 · External reference
HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
10.4067/s0718-58392019000100089 · 2019 · External reference
Crop modelling as a tool to separate the influence of the soil and weather on crop yields
10.1016/j.pce.2004.08.024 · 2005 · External reference
Evaluation and modelling of greenhouse cucumber-crop transpiration under high and low radiation conditions
10.1016/j.scienta.2005.01.024 · 2005 · External reference
Future climate change impacts on common bean (Phaseolus vulgaris L.) phenology and yield with crop management options in Amhara Region, Ethiopia
10.1186/s43170-022-00103-9 · 2022 · External reference
Improving agricultural water management in the semi-arid region of Brazil: experimental and modelling study
10.1007/s00271-009-0191-y · 2010 · External reference
Modeling the response of onion crop to deficit irrigation
2012 · External reference
The ability of CROPGRO-Tomato model to simulate the growth characteristics of Thomas F1 tomato cultivar grown under open field conditions
10.1017/s0021859621000770 · 2021 · External reference
Can intercropping be an adaptation to drought? A model-based analysis for pearl millet–cowpea
10.1111/jac.12552 · 2022 · External reference
The performance of the EU-Rotate_N model in predicting the growth and nitrogen uptake of rotations of field vegetable crops in a Mediterranean environment
10.1017/s0021859612000688 · 2013 · External reference
MOPECO: an economic optimization model for irrigation water management
10.1007/s00271-004-0094-x · 2004 · External reference
Proximal Optical Sensors for Nitrogen Management of Vegetable Crops: A Review
10.3390/s18072083 · 2018 · External reference
Decomposing complex traits through crop modelling to support cultivar recommendation. A proof of concept with a focus on phenology and field pea
2022 · External reference
Parameterization of AquaCrop model for vining pea biomass and yield predictions and assessing impacts of irrigation strategies considering various sowing dates
10.1007/s00271-016-0520-x · 2017 · External reference
The effect of daily temperature on truss flowering rate of tomato
10.1002/jsfa.1858 · 2004 · External reference
Impacts of Climate Changes on Risk Zoning for Cowpea in the Amazonian Tropical Conditions
2021 · External reference
Effects of Climate Change on Vegetable Cultivation - A Review
2015 · External reference
A holistic generic integrated approach for irrigation, crop and field management: the SALTMED model
10.1016/s1364-8152(01)00079-2 · 2002 · External reference
Ideotype definition to adapt legumes to climate change: A case study for field pea in Northern Italy
10.1016/j.agrformet.2020.108081 · 2020 · External reference
Deep learning and process understanding for data-driven Earth system science
10.1038/s41586-019-0912-1 · 2019 · External reference
Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy
10.1016/j.agwat.2006.06.006 · 2007 · External reference
Support system for decision making in the management of the greenhouse environmental based on growth model for sweet pepper
10.1016/j.agsy.2015.06.009 · 2015 · External reference
Nitrate concentration in greenhouse lettuce: a modeling study
10.17660/actahortic.1998.456.21 · 1998 · External reference
Modelling the impact of drought and heat stress on common bean with two different photosynthesis model approaches
10.1016/j.envsoft.2016.04.001 · 2016 · External reference
Impact of global warming on cowpea bean cultivation in northeastern Brazil
10.1016/j.agwat.2010.06.006 · 2010 · External reference
Health Benefits of Fruits and Vegetables
10.3945/an.112.002154 · 2012 · External reference
Simulation of tomato growth, water and N dynamics using the EU-Rotate_N model in Mediterranean greenhouses with drip irrigation and fertigation
10.1016/j.agwat.2013.10.002 · 2014 · External reference
Climate change impact and potential adaptation strategies under alternate climate scenarios for yam production in the sub-humid savannah zone of West Africa
10.1007/s11027-015-9639-y · 2016 · External reference
SIMWASER model as a tool for the assessment of soil water balance
10.17221/3609-pse · 2005 · External reference
AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles
10.2134/agronj2008.0139s · 2009 · External reference
CropSyst, a cropping systems simulation model
10.1016/s1161-0301(02)00109-0 · 2003 · External reference
A simple model for simulation of growth and development in faba beans (Vicia faba L.) 2. Model evaluation and application for the assessment of sowing date effects
10.1016/s1161-0301(14)80045-2 · 1995 · External reference
Analysis and evaluation of a dynamic model for greenhouse lettuce growth
10.5424/sjar/2022204-18658 · 2022 · External reference
Modelling growth of chili pepper (Capsicum annuum L.) with the WOFOST model
10.1016/j.agsy.2023.103688 · 2023 · External reference
Simulation of Soil Water and Nitrogen Dynamics for Tomato Crop using EU-Rotate_N Model at Different Nitrogen Levels in the Greenhouse
10.3390/agronomy13082006 · 2023 · External reference
A methodology for model-based greenhouse design: Part 2, description and validation of a tomato yield model
10.1016/j.biosystemseng.2011.08.005 · 2011 · External reference
Irrigation water demand of common bean on field and regional scale under varying climatic conditions
10.1127/metz/2015/0698 · 2016 · External reference
Fruits, vegetables, and health: A comprehensive narrative, umbrella review of the science and recommendations for enhanced public policy to improve intake
10.1080/10408398.2019.1632258 · 2020 · External reference
Nitrous oxide emissions in Chinese vegetable systems: A meta-analysis
10.1016/j.envpol.2018.03.090 · 2018 · External reference
Unresolved reference
2003 · External reference
The EPIC Crop Growth Model
10.13031/2013.31032 · 1989 · External reference
Genetic differences in fruit-set patterns are determined by differences in fruit sink strength and a source: sink threshold for fruit set
10.1093/aob/mcp181 · 2009 · External reference
Two instead of three leaves between tomato trusses: measured and simulated effects on partitioning and yield
10.17660/actahortic.2004.654.35 · 2004 · External reference
A comprehensive method of evaluating the impact of drought and salt stress on tomato growth and fruit quality based on EPIC growth model
10.1016/j.agwat.2018.10.010 · 2019 · External reference
Development and critical evaluation of a generic 2-D agro-hydrological model (SMCR_N) for the responses of crop yield and nitrogen composition to nitrogen fertilizer
10.1016/j.agee.2009.03.011 · 2009 · External reference
Estimating canopy leaf physiology of tomato plants grown in a solar greenhouse: Evidence from simulations of light and thermal microclimate using a Functional-Structural Plant Model
10.1016/j.agrformet.2021.108494 · 2021 · External reference
A SIMPLE crop model
10.1016/j.eja.2019.01.009 · 2019 · External reference
Optimizing tomato water and fertilizer uses in smallholder farms in South Africa using the Piloten Model
10.1002/ird.2071 · ExternalCitation · doi-reference
The effect of daily temperature on truss flowering rate of tomato
10.1002/jsfa.1858 · ExternalCitation · doi-reference
Evaluation of a Dynamic Simulation Model for Tomato Crop Growth and Development
10.1006/anbo.1998.0832 · ExternalCitation · doi-reference
MOPECO: an economic optimization model for irrigation water management
10.1007/s00271-004-0094-x · ExternalCitation · doi-reference
Improving agricultural water management in the semi-arid region of Brazil: experimental and modelling study
10.1007/s00271-009-0191-y · ExternalCitation · doi-reference
VegSyst, a simulation model of daily crop growth, nitrogen uptake and evapotranspiration for pepper crops for use in an on-farm decision support system
10.1007/s00271-011-0312-2 · ExternalCitation · doi-reference
Parameterization of AquaCrop model for vining pea biomass and yield predictions and assessing impacts of irrigation strategies considering various sowing dates
10.1007/s00271-016-0520-x · ExternalCitation · doi-reference
Climate change impact and potential adaptation strategies under alternate climate scenarios for yam production in the sub-humid savannah zone of West Africa
10.1007/s11027-015-9639-y · ExternalCitation · doi-reference
Development and critical evaluation of a generic 2-D agro-hydrological model (SMCR_N) for the responses of crop yield and nitrogen composition to nitrogen fertilizer
10.1016/j.agee.2009.03.011 · ExternalCitation · doi-reference
Parameterisation and evaluation of the FAO-AquaCrop model for a South African taro (Colocasia esculenta L. Schott) landrace
10.1016/j.agrformet.2014.03.013 · ExternalCitation · doi-reference
Drought impact on rainfed common bean production areas in Brazil
10.1016/j.agrformet.2016.05.010 · ExternalCitation · doi-reference
Ideotype definition to adapt legumes to climate change: A case study for field pea in Northern Italy
10.1016/j.agrformet.2020.108081 · ExternalCitation · doi-reference
Estimating canopy leaf physiology of tomato plants grown in a solar greenhouse: Evidence from simulations of light and thermal microclimate using a Functional-Structural Plant Model
10.1016/j.agrformet.2021.108494 · ExternalCitation · doi-reference
Support system for decision making in the management of the greenhouse environmental based on growth model for sweet pepper
10.1016/j.agsy.2015.06.009 · ExternalCitation · doi-reference
Modeling the effects of long-term reduced N application on soil N losses and yield in a greenhouse tomato production system
10.1016/j.agsy.2020.102951 · ExternalCitation · doi-reference
Modelling growth of chili pepper (Capsicum annuum L.) with the WOFOST model
10.1016/j.agsy.2023.103688 · ExternalCitation · doi-reference
The effects of saline irrigation water management and salt tolerant tomato varieties on sustainable production of tomato in Syria (1999–2002)
10.1016/j.agwat.2005.04.024 · ExternalCitation · doi-reference
Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy
10.1016/j.agwat.2006.06.006 · ExternalCitation · doi-reference
Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate
10.1016/j.agwat.2009.07.013 · ExternalCitation · doi-reference
Impact of global warming on cowpea bean cultivation in northeastern Brazil
10.1016/j.agwat.2010.06.006 · ExternalCitation · doi-reference
Evaluation of the VegSyst model with muskmelon to simulate crop growth, nitrogen uptake and evapotranspiration
10.1016/j.agwat.2011.09.008 · ExternalCitation · doi-reference
Simulation of onion crop behavior under optimized regulated deficit irrigation using MOPECO model in a semi-arid environment
10.1016/j.agwat.2012.06.019 · ExternalCitation · doi-reference
Simulation of tomato growth, water and N dynamics using the EU-Rotate_N model in Mediterranean greenhouses with drip irrigation and fertigation
10.1016/j.agwat.2013.10.002 · ExternalCitation · doi-reference
Simulating yield and water use of a sorghum–cowpea intercrop using APSIM
10.1016/j.agwat.2016.08.021 · ExternalCitation · doi-reference
A comprehensive method of evaluating the impact of drought and salt stress on tomato growth and fruit quality based on EPIC growth model
10.1016/j.agwat.2018.10.010 · ExternalCitation · doi-reference
Adaptation of VegSyst-DSS for macronutrient recommendations of fertigated, soil-grown, greenhouse vegetable crops
10.1016/j.agwat.2022.107973 · ExternalCitation · doi-reference
Calibration and validation of a biological model to simulate the development and production of tomatoes in Mediterranean greenhouses during winter period
10.1016/j.biosystemseng.2009.01.004 · ExternalCitation · doi-reference
A methodology for model-based greenhouse design: Part 2, description and validation of a tomato yield model
10.1016/j.biosystemseng.2011.08.005 · ExternalCitation · doi-reference
Developing a water and nitrogen management model for greenhouse vegetable production in China: Sensitivity analysis and evaluation
10.1016/j.ecolmodel.2017.10.016 · ExternalCitation · doi-reference
Simulating crop–parasitic weed interactions using APSIM: Model evaluation and application
10.1016/j.eja.2005.10.002 · ExternalCitation · doi-reference
Evaluation of the soil crop model STICS over 8 years against the “on farm” database of Bruyères catchment
10.1016/j.eja.2008.03.001 · ExternalCitation · doi-reference
Water yam (Dioscorea alata L.) growth and yield as affected by the planting date: Experiment and modelling
10.1016/j.eja.2011.02.002 · ExternalCitation · doi-reference
A SIMPLE crop model
10.1016/j.eja.2019.01.009 · ExternalCitation · doi-reference
Observed and modeled response of water yam (Dioscorea alata L.) to nitrogen supply: Consequences for nitrogen fertilizer management in the humid tropics
10.1016/j.eja.2022.126536 · ExternalCitation · doi-reference
Nitrous oxide emissions in Chinese vegetable systems: A meta-analysis
10.1016/j.envpol.2018.03.090 · ExternalCitation · doi-reference
Modelling the impact of drought and heat stress on common bean with two different photosynthesis model approaches
10.1016/j.envsoft.2016.04.001 · ExternalCitation · doi-reference
Adaptation of the STICS intercrop model to simulate crop growth and N accumulation in pea–barley intercrops
10.1016/j.fcr.2009.04.007 · ExternalCitation · doi-reference
Radiation capture and radiation use efficiency in response to N supply for crop species with contrasting canopies
10.1016/j.fcr.2013.06.014 · ExternalCitation · doi-reference
Modeling soil organic carbon and yam yield under different agronomic management across spatial scales in Ghana
10.1016/j.fcr.2020.108018 · ExternalCitation · doi-reference
Application of the CSM-CROPGRO-Dry bean model to optimize irrigation as a function of sowing date in common bean cultivars
10.1016/j.fcr.2023.108840 · ExternalCitation · doi-reference
Crop modelling as a tool to separate the influence of the soil and weather on crop yields
10.1016/j.pce.2004.08.024 · ExternalCitation · doi-reference
A novel integrated framework to evaluate greenhouse energy demand and crop yield production
10.1016/j.rser.2018.06.046 · ExternalCitation · doi-reference
Evaluation and modelling of greenhouse cucumber-crop transpiration under high and low radiation conditions
10.1016/j.scienta.2005.01.024 · ExternalCitation · doi-reference
Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk
10.1016/j.scitotenv.2015.07.035 · ExternalCitation · doi-reference
Evaluation under commercial conditions of a model of prediction of the yield and quality of cucumber fruits
10.1016/s0304-4238(98)00156-3 · ExternalCitation · doi-reference
Sorghum and sunflower evapotranspiration and yield from simulated leaf area index
10.1016/s0378-3774(97)00029-2 · ExternalCitation · doi-reference
An overview of APSIM, a model designed for farming systems simulation
10.1016/s1161-0301(02)00108-9 · ExternalCitation · doi-reference
CropSyst, a cropping systems simulation model
10.1016/s1161-0301(02)00109-0 · ExternalCitation · doi-reference
A simple model for simulation of growth and development in faba beans (Vicia faba L.) 2. Model evaluation and application for the assessment of sowing date effects
10.1016/s1161-0301(14)80045-2 · ExternalCitation · doi-reference
Simulation of faba bean ( Vicia faba L.) root system development under Mediterranean conditions
10.1016/s1161-0301(98)00044-6 · ExternalCitation · doi-reference
A holistic generic integrated approach for irrigation, crop and field management: the SALTMED model
10.1016/s1364-8152(01)00079-2 · ExternalCitation · doi-reference
The performance of the EU-Rotate_N model in predicting the growth and nitrogen uptake of rotations of field vegetable crops in a Mediterranean environment
10.1017/s0021859612000688 · ExternalCitation · doi-reference
The ability of CROPGRO-Tomato model to simulate the growth characteristics of Thomas F1 tomato cultivar grown under open field conditions
10.1017/s0021859621000770 · ExternalCitation · doi-reference
Deep learning and process understanding for data-driven Earth system science
10.1038/s41586-019-0912-1 · ExternalCitation · doi-reference
Evaluation and adaptation of TOMGRO model to Italian tomato protected crops
10.1080/01140671.2011.623706 · ExternalCitation · doi-reference
Fruits, vegetables, and health: A comprehensive narrative, umbrella review of the science and recommendations for enhanced public policy to improve intake
10.1080/10408398.2019.1632258 · ExternalCitation · doi-reference
ALCEPAS, an onion growth model based on SUCROS87. II. Validation of the model
10.1080/14620316.1994.11516483 · ExternalCitation · doi-reference
A simulation model for dry matter partitioning in cucumber
10.1093/aob/74.1.43 · ExternalCitation · doi-reference
Genetic differences in fruit-set patterns are determined by differences in fruit sink strength and a source: sink threshold for fruit set
10.1093/aob/mcp181 · ExternalCitation · doi-reference
Can intercropping be an adaptation to drought? A model-based analysis for pearl millet–cowpea
10.1111/jac.12552 · ExternalCitation · doi-reference
Irrigation water demand of common bean on field and regional scale under varying climatic conditions
10.1127/metz/2015/0698 · ExternalCitation · doi-reference
Future climate change impacts on common bean (Phaseolus vulgaris L.) phenology and yield with crop management options in Amhara Region, Ethiopia
10.1186/s43170-022-00103-9 · ExternalCitation · doi-reference
Computer simulation of a single truss tomato cropping system
10.13031/2013.30840 · ExternalCitation · doi-reference
The EPIC Crop Growth Model
10.13031/2013.31032 · ExternalCitation · doi-reference
A dynamic tomato growth and yield model (TOMGRO)
10.13031/2013.31715 · ExternalCitation · doi-reference
SIMWASER model as a tool for the assessment of soil water balance
10.17221/3609-pse · ExternalCitation · doi-reference
Nitrate concentration in greenhouse lettuce: a modeling study
10.17660/actahortic.1998.456.21 · ExternalCitation · doi-reference
HORTISIM: a model for greenhouse crops and greenhouse climate
10.17660/actahortic.1998.456.53 · ExternalCitation · doi-reference
Simulserre: an educational software simulating the greenhouse-crop system
10.17660/actahortic.1998.456.54 · ExternalCitation · doi-reference
Two instead of three leaves between tomato trusses: measured and simulated effects on partitioning and yield
10.17660/actahortic.2004.654.35 · ExternalCitation · doi-reference
The modelled photosynthetic effects of different light colours on tomato crop growth and production
10.17660/actahortic.2017.1182.21 · ExternalCitation · doi-reference
Improving the CROPGRO-Tomato Model for Predicting Growth and Yield Response to Temperature
10.21273/hortsci.47.8.1038 · ExternalCitation · doi-reference
Simulation of Maize Yield under Water Stress with the EPICphase and CROPWAT Models
10.2134/agronj2000.924679x · ExternalCitation · doi-reference
AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles
10.2134/agronj2008.0139s · ExternalCitation · doi-reference
A Simple Mass Balance Model for Lettuce - The Water Balance
10.3182/20120711-3-be-2027.00216 · ExternalCitation · doi-reference
A decision support system (GesCoN) for managing fertigation in vegetable crops. Part II—model calibration and validation under different environmental growing conditions on field grown tomato
10.3389/fpls.2015.00495 · ExternalCitation · doi-reference
Simulation of Soil Water and Nitrogen Dynamics for Tomato Crop using EU-Rotate_N Model at Different Nitrogen Levels in the Greenhouse
10.3390/agronomy13082006 · ExternalCitation · doi-reference
An Integrated Yield Prediction Model for Greenhouse Tomato
10.3390/agronomy9120873 · ExternalCitation · doi-reference
WHCNS-Veg Modelling of N2O, NH3 and NO3− Dynamics in a Vegetable Production System under Different Fertilization and Irrigation Regimes
10.3390/atmos13081289 · ExternalCitation · doi-reference
Global vegetable intake and supply compared to recommendations: a systematic review
10.3390/nu12061558 · ExternalCitation · doi-reference
Proximal Optical Sensors for Nitrogen Management of Vegetable Crops: A Review
10.3390/s18072083 · ExternalCitation · doi-reference
Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia
10.3390/w10050666 · ExternalCitation · doi-reference
Health Benefits of Fruits and Vegetables
10.3945/an.112.002154 · ExternalCitation · doi-reference
HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes
10.4067/s0718-58392019000100089 · ExternalCitation · doi-reference
Analysis and evaluation of a dynamic model for greenhouse lettuce growth
10.5424/sjar/2022204-18658 · ExternalCitation · doi-reference
