ArticleAgricultural systems2017
Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making.
Article in Agricultural systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Harnessing knowledge management to transform agricultural development through innovation and sustainability.Scientific reports · 2026Article
- A user-friendly NoSQL framework for managing agricultural field trial data.Scientific reports · 2024Article
- Effect of temperature on in vitro germination and growth of Colletotrichum fioriniae, a new emerging pathogen of olive fruits.Environmental microbiology reports · 2024Article
- Evaluation of the effect of agroclimatic variables on the probability and timing of olive fruit fly attack.Frontiers in plant science · 2024Article
- A Decision Support System for Economically Sustainable Sheep and Goat Farming.Animals : an open access journal from MDPI · 2020Article
- Use of Integrative Interactomics for Improvement of Farm Animal Health and Welfare: An Example with Fescue Toxicosis.Toxins · 2020Review
- How Information Communication Technology Can Enhance Evidence-Based Decisions and Farm-to-Fork Animal Traceability for Livestock Farmers.TheScientificWorldJournal · 2020Review
- Performance, farmer perception, and the routinisation (RO) moderation on ERP post-implementation.Heliyon · 2019Article
- Next generation agricultural system models and knowledge products: Synthesis and strategy.Agricultural systems · 2017Article
- Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science.Agricultural systems · 2017Article
- Towards a new generation of agricultural system data, models and knowledge products: Design and improvement.Agricultural systems · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions. This paper presents a framework for the use of farm-level and landscape-scale models and data to provide analysis that could be used in NextGen knowledge products, such as mobile applications or personal computer data analysis and visualization software. We describe two analytical tools - AgBiz Logic and TOA-MD - that demonstrate the current capability of farmlevel and landscape-scale models. The use of these tools is explored with a case study of an oilseed crop,
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.