Sampling for weed spatial distribution mapping need not be adaptive
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[1] L. K. Ward,et al. The role of weeds in supporting biological diversity within crop fields , 2003 .
[2] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Mathieu Bonneau,et al. Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction , 2014, Comput. Stat. Data Anal..
[4] Alfred Stein,et al. Analyzing spatial count data, with an application to weed counts , 2007, Environmental and Ecological Statistics.
[5] D. J. Brus,et al. Sampling for Natural Resource Monitoring , 2006 .
[6] E. Oerke. Crop losses to pests , 2005, The Journal of Agricultural Science.
[7] Sabrina Gaba,et al. Non-random distribution of weed species abundance in arable fields , 2012 .
[8] Anders Brix,et al. Space‐time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds , 2001 .
[9] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .
[10] Regis Chikowo,et al. Integrated Weed Management systems allow reduced reliance on herbicides and long-term weed control , 2009 .
[11] Hong S. He,et al. An aggregation index (AI) to quantify spatial patterns of landscapes , 2000, Landscape Ecology.
[12] Giuseppe Zanin,et al. Incorporation of weed spatial variability into the weed control decision‐making process , 1998 .
[13] C. Ji,et al. A consistent model selection procedure for Markov random fields based on penalized pseudolikelihood , 1996 .
[14] Lisa Norton,et al. Environmental and management factors determining weed species composition and diversity in France , 2008 .
[15] Jonathan Storkey,et al. Using Assembly Theory to Explain Changes in a Weed Flora in Response to Agricultural Intensification , 2010, Weed Science.
[16] Daniel Spring,et al. Model-based adaptive spatial sampling for occurrence map construction , 2013, Stat. Comput..
[17] Colbach,et al. Evaluating field-scale sampling methods for the estimation of mean plant densities of weeds , 2000 .
[18] J. J. de Gruijter,et al. A hybrid design-based and model-based sampling approach to estimate the temporal trend of spatial means , 2012 .
[19] J. Cardina,et al. The nature and consequence of weed spatial distribution , 1997, Weed Science.
[20] J. Cardina,et al. Analysis of Spatial Distribution of Common Lambsquarters (Chenopodium album) in No-Till Soybean (Glycine max) , 1995, Weed Science.
[21] Sabrina Gaba,et al. Trajectories of weed communities explained by traits associated with species’ response to management practices , 2012 .
[22] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[23] L. Wiles,et al. Spatial Distribution of Broadleaf Weeds in North Carolina Soybean (Glycine max) Fields , 1992, Weed Science.
[24] C. Nicholls,et al. Plant biodiversity enhances bees and other insect pollinators in agroecosystems. A review , 2013, Agronomy for Sustainable Development.
[25] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[26] Brett Whelan,et al. Sampling strategy is important for producing weed maps: a case study using kriging , 2002, Weed Science.
[27] David E. Clay,et al. Spatial distribution, temporal stability, and yield loss estimates for annual grasses and common ragweed (Ambrosia artimisiifolia) in a corn/soybean production field over nine years , 2006, Weed Science.
[28] Vincent Bretagnolle,et al. Weeds for bees? A review , 2015, Agronomy for Sustainable Development.
[29] Francisca López Granados. Weed detection for site-specific weed management: Mapping and real-time approaches , 2011 .