On-farm experimentation practices and associated farmer-researcher relationships: a systematic literature review
Q Toffolini, MH Jeuffroy - Agronomy for Sustainable Development, 2022 - Springer
The convergence among the rise of digital technologies, the attention paid to the localized
issues of transitions in practices toward agroecology, and the emergence of new open …
issues of transitions in practices toward agroecology, and the emergence of new open …
Can machine learning models provide accurate fertilizer recommendations?
Accurate modeling of site-specific crop yield response is key to providing farmers with
accurate site-specific economically optimal input rates (EOIRs) recommendations. Many …
accurate site-specific economically optimal input rates (EOIRs) recommendations. Many …
Randomization tests for adaptively collected data
Y Nair, L Janson - arXiv preprint arXiv:2301.05365, 2023 - arxiv.org
Randomization testing is a fundamental method in statistics, enabling inferential tasks such
as testing for (conditional) independence of random variables, constructing confidence …
as testing for (conditional) independence of random variables, constructing confidence …
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation
On-farm precision experimentation (OFPE) has expanded rapidly over the past few years.
While the importance of OFPE trial design efficiency has been recognized, existing studies …
While the importance of OFPE trial design efficiency has been recognized, existing studies …
Statistical analysis of comparative experiments based on large strip on-farm trials
Statistical methods used for small plot analyses are unsuitable for large-scale on-farm
experiments because they fail to take into account the spatial variability in treatment effects …
experiments because they fail to take into account the spatial variability in treatment effects …
Fully Bayesian economically optimal design for a spatially varying coefficient linear stochastic plateau model over multiple years
D Poursina, BW Brorsen - Stochastic Environmental Research and Risk …, 2024 - Springer
On-farm experimentation to guide fertilizer recommendations is a potential precision
agriculture tool. There is, however, no agreement on the optimal way to conduct on-farm …
agriculture tool. There is, however, no agreement on the optimal way to conduct on-farm …
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients
Spatially varying coefficient (SVC) models are an increasingly popular approach for
modeling spatial heterogeneity. One topic that has not been well addressed is how best to …
modeling spatial heterogeneity. One topic that has not been well addressed is how best to …
A Bayesian approach to assessing uncertainty in the effect of fertilization strategies on paddy rice yield via multiple on-farm experiments
MS Mia, LN Habibi, T Matsui… - Plant Production …, 2024 - Taylor & Francis
The surge in global agricultural input prices, particularly for nitrogen (N) fertilizers, has
presented challenges for farmers facing stagnant crop prices and rising production costs …
presented challenges for farmers facing stagnant crop prices and rising production costs …
Bias in economic evaluation of variable rate application based on geographically weighted regression models with misspecified functional form
Geographically weighted regression (GWR) has been presented as a valuable tool for
estimating site‐specific yield response functions to derive recommendations of variable rate …
estimating site‐specific yield response functions to derive recommendations of variable rate …
On-Farm Experimentation in the Australian winegrape sector: approaches and opportunities for change
X Song - 2022 - figshare.utas.edu.au
Farmers worldwide conduct experiments on their own farms to test new practices or ideas.
Their on-farm experimentation (OFE) provides information that supports operational …
Their on-farm experimentation (OFE) provides information that supports operational …