Skip to content
<title>Channels - The Formal Model for the solitary bee Osmia bicornis L. agent‑based model :: FRELIP Discovery
-
The Formal Model for the solitary bee Osmia bicornis L. agent‑based model
-
Protocol for assessing the impacts of the insecticide Mospilan SG (acetamiprid) and the fungicide Folicur (tebuconazole) and their combination on the solitary bees Osmia bicornis and O. brevicornis under semi-field conditions
-
Modelling foraging strategies of honey bees as agents in a dynamic landscape representation
-
The Formal Model for the butterfly Pieris napi (Lepidoptera, Pieridae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS)
-
The Formal Model for the hoverfly Eristalis tenax (Diptera, Syrphidae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS)
-
The Formal Model for the hoverfly Sphaerophoria scripta (Diptera, Syrphidae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS)
-
The Formal Model for Coccinella septempunctata for implementation in Animal Landscape and Man Simulation System
-
The Formal Model article format: justifying modelling intent and a critical review of data foundations through publication
-
Landscapes from the bee perspective: an application of SolBeePop to field study data
-
MAASSD: Methodology for Agent-based modelling for Agricultural System Simulation in Developing Countries
-
Integrating spatial and environmental stressors in a population model of Folsomia candida (Collembola, Isotomidae): a Formal Model within ALMaSS framework
-
Managing large and complex population operations with agent-based models: The ALMaSS Population_Manager
-
Formal model for Acyrthosiphon pisum, Aphis fabae, Myzus persicae and Sitobion avenae using the ALMaSS subpopulation approach
-
The Formal Model for Noctua pronuba (Lepidoptera, Noctuidae) representing a typical agricultural-landscape night-flying moth species for pesticide risk assessment
-
A journal by modellers, for modellers: Introducing Agricultural and Environmental Modelling
-
Modelling agronomic and environmental effects of bio-based nitrogen fertilisers in Europe
-
Physicochemical, bioactive, and safety properties of honey produced by stingless bees in the Colombian Amazon piedmont
-
Influence of migratory and stationary beekeeping on honey bee wing morphology and propolis chemical composition
-
Open Science meets Food Modelling: Introducing the Food Modelling Journal (FMJ)
-
Dynamic Integration in Agent-Based Modeling: Strategies for Optimizing Land-Use Change Policies in Peri-Urban Areas through Interactive Simulation
-
Disability-Inclusive Competency Needs of Agricultural Extension Agents
-
A urine patch model for evaluating management strategies for reducing nitrogen leaching from pasture-based dairy farms
-
Yield Improvement of Solanum nigrum L. (Solanaceae) through Apis mellifera L. (Hymenoptera: Apidae) Pollination Efficiency in Dang (Ngaoundere, Cameroon)
-
Binary Classification of Faba Bean (Vicia faba L.) Cultivars Based on Appearances Using Image Processing Technique and Machine Learning Algorithms
