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Agriculture & Food-Supply

Crop growth, livestock disease spread, supply-chain logistics, resource management

13 articles

Article

FarmDESIGN: Multi-Objective Optimization for Sustainable Whole-Farm System Redesign

FarmDESIGN is an open-source, NSGA-II-powered multi-objective optimization tool from Wageningen University that reveals the full Pareto frontier of farm system configurations — simultaneously balancing gross margin, nitrogen surplus, soil organic matter, and labor constraints. This article explores its integrated nutrient flow architecture, four-stage workflow, and a validated case study on a 120-ha Dutch dairy-arable farm. Technical professionals will learn how to navigate trade-offs between profitability and environmental compliance without costly real-world experimentation.

By Jeff 25 views
Article

MONICA: Simulating Soil-Crop Carbon and Nitrogen Dynamics for Precision Nutrient Management

MONICA (Model for Nitrogen and Carbon in Agroecosystems) is an open-source, process-based soil-crop simulation model that tightly couples SOM decomposition, nitrogen cycling, water balance, and crop growth into a unified daily time-step framework. This article explores MONICA's nitrogen cycling module in depth — covering mineralization, nitrification, denitrification, and fertilizer inputs — and provides a practical workflow for long-term soil carbon scenario analysis. Technical professionals will learn how to configure site parameters, define crop rotations, and interpret key outputs including N₂O emissions, nitrate leaching, and SOC trajectories.

By Jeff 26 views
Article

OpenFarm: Agent-Based Simulation of Smallholder Farming Systems for Food Security Analysis

OpenFarm is an open-source agent-based simulation framework designed for smallholder farming systems, enabling researchers and policy analysts to model heterogeneous farm-household decision-making, technology diffusion, and endogenous market dynamics. This article explores OpenFarm's core architecture, social network modeling, stochastic shock testing, and practical workflow for food security scenario analysis at regional scale.

By Jeff 26 views
Article

AgriSim Pro: Leveraging Monte Carlo Sensitivity Analysis for Robust Crop Yield Forecasting

AgriSim Pro extends the APSIM framework with a tightly integrated Monte Carlo sensitivity analysis engine, enabling statistically defensible crop yield forecasts through Latin Hypercube Sampling and Sobol' variance decomposition. This article details how to configure parameter distributions, run parallel simulations, and interpret sensitivity indices to identify which input uncertainties most drive yield forecast variance. The workflow supports precision agriculture, crop insurance calibration, and climate-risk-adjusted planning for 2030–2050 horizons.

By Jeff 25 views
Article

IFSM: Whole-Farm Systems Modeling for Nutrient Cycling and Economic Analysis

The Integrated Farm System Model (IFSM) is a USDA ARS process-based simulation tool that evaluates the environmental and economic performance of entire farming operations as a unified system. Unlike single-component crop or hydrology models, IFSM integrates crop production, livestock nutrition, manure management, soil nutrient dynamics, and greenhouse gas emissions into a single daily time-step simulation. This article explores IFSM's core capabilities, scenario comparison workflow, and best practices for whole-farm nutrient management planning and GHG mitigation analysis.

By Jeff 24 views
Article

EPIC Model: Simulating Soil Erosion and Carbon Sequestration for Sustainable Land Management

The EPIC (Environmental Policy Integrated Climate) model is a comprehensive agricultural simulation platform that integrates hydrology, erosion, nutrient cycling, and carbon dynamics into a single validated framework. This article explores EPIC's RUSLE-based erosion module and CENTURY-derived carbon sequestration capabilities, with practical guidance on calibration, GIS integration, and application to conservation planning and carbon credit verification.

By Jeff 23 views
Article

SWAT+ Hydrological Modeling: Simulating Watershed-Scale Water Quality and Agricultural Runoff

SWAT+ (Soil and Water Assessment Tool Plus) is a physically-based, semi-distributed hydrological model for simulating water quantity, water quality, sediment transport, and nutrient cycling at the watershed scale. This article explores SWAT+'s core capabilities, its improvements over legacy SWAT, and best practices for applying it to agricultural water quality and BMP evaluation problems.

By Jeff 43 views
Article

CropSyst: Advanced Phenology Modeling for Climate Adaptation Planning

CropSyst's phenology modeling provides sophisticated capabilities for simulating crop development under changing climate conditions. This article explores how mechanistic thermal time, photoperiod, and vernalization modeling enables climate adaptation planning and cultivar selection.

By Jeff 25 views
Article

APSIM Nitrogen Module: Precision Modeling for Sustainable Fertilizer Management

APSIM's nitrogen module provides sophisticated capabilities for modeling soil nitrogen dynamics and predicting crop responses. This article explores how the mechanistic nitrogen cycling framework enables precision fertilizer management, reduces environmental impacts, and integrates with modern precision agriculture technologies.

By Jeff 30 views
Article

NAADSM: Advanced Spatial Modeling for Livestock Disease Control

NAADSM (North American Animal Disease Spread Model) provides sophisticated stochastic spatial simulation for evaluating livestock disease control strategies. This powerful tool enables veterinary epidemiologists and policy makers to model disease transmission, test intervention scenarios, and optimize emergency response plans before real-world outbreaks occur.

By Jeff 27 views
Article

DSSAT: Comprehensive Agricultural Simulation for Crop Modeling and Food Security

Explore DSSAT (Decision Support System for Agrotechnology Transfer), a comprehensive crop simulation platform that revolutionizes precision agriculture and food security planning. This powerful tool enables researchers and farmers to model crop growth, optimize management strategies, and adapt to climate change challenges through advanced computational modeling.

By Jeff 28 views