Understocking or Overstocking: Two Costly Mistakes for Food Processing Businesses
Why poor inventory management can limit the growth of food processing businesses and how historical sales data can help anticipate demand.
Resources
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Managing plant viral epidemics: linking insect transmission and epidemic risk
Explores how mechanistic understanding of insect-mediated virus transmission can be integrated into epidemic risk models, improving prediction and management of plant viral outbreaks.
Beyond the Hype: Relearning how to model the World
This article explores the overreliance on pure machine learning for modelling complex real-world systems, arguing it leads to brittle and non-causal models. It advocates for a hybrid future that integrates mechanistic modelling for structural understanding with data-driven techniques, guided by human expertise.
Managing cassava viral epidemics: linking insect transmission and epidemic risk
University of Cambridge news feature highlighting research on cassava viral epidemics and how integrating insect transmission processes into epidemic models improves risk assessment and disease management strategies.
AEF Crop Intelligence: User Guide
User guide for AEF Crop Intelligence (https://aef-crop-intelligence.streamlit.app/), a decision support tool for farmers and agronomists that combines a Digital Twin of your field (a computer simulation of crop growth) with Satellite Intelligence (real-time observations from space) to help you optimize yield, manage diseases, and reduce input costs.
Big insights from small data in Plant Disease Epidemiology
In plant disease epidemiology, limited observations are the norm. I outline how modern statistical and modelling approaches can transform these constrained datasets into powerful, actionable predictions for crop protection.
A short note on the durability of pest-resistant crop varieties
Durability of resistance depends on evolutionary pressure; model-based deployment (mixtures, rotations) can increase longevity.
CMD4.0 — Cassava Mosaic Disease (repo)
Agent-based NetLogo model for CMD (varieties, whitefly vectors, roguing, replanting, economic outputs).
Memory-based incremental parameter update (repo)
Sequential-Monte Carlo framework to incrementally update parameters of a stochastic plant epidemic model (notebooks included).