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Sectioning remote imagery for characterization of Avena sterilis infestations. Part B: Efficiency and economics of control

机译:切片远程图像以表征Avena无菌侵染。 B部分:控制的效率和经济性

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Avena sterilis weed pressure categories can be discriminated in wheat through remote images taken at late stages of wheat senescence. Site-specific image processing was achieved with SARI(A (R)), an add-on software program for ENVIA (R) developed to implement precision agriculture. Using the SARI software and crop-weed competition and economic models, the precision yield losses for each micro-plot can be estimated and herbicide prescription maps obtained. Simulation studies on control indicators and herbicide use efficiency were undertaken using real-time ground data and remote images of two wheat plots infested with Avena sterilis at LaFloridaII and Navajas (Southern Spain). The simulation indicated that precision application of herbicides would produce higher overall herbicide savings (OHS) compared to broadcast applications but would vary depending on the level of weed infestation, the decision making criteria (DMC) of applying herbicide above a weed infestation level and the size of the spray grid considered. For example, for areas with low levels of infestation (around 15%), the OHS was 20, 44, 81 and 90% for a DMC of 0, 10, 20 and 30%, respectively. SARI(A (R)) also estimates the overall herbicide application efficiency (OHAE), a key agro-environmental index to estimate the efficiency of herbicide applications in weedy areas and the lack of herbicide applications in weed-free areas. Ideally, the OHAE is equal to 1 if weed control is complete and herbicide applications in weed-free areas are not necessary. The OHAE index is influenced by the size of the micro-plot and decision-making herbicide application criteria (DMC). The OHAE values increased as the size of the micro-plot decreased, regardless of the intensity of the weed infestation. For example, micro-plots of 20 x 6 m, 5 x 3 m and 1.2 x 1.5 m had OHAE values of 0.27, 0.57 and 0.76, for areas of low infestation, when averaged over the DMC. Generally, the OHAE values increased as the size of the micro-plot decreased regardless of the intensity of weed infestation. Based on actual weed abundance data, competition models and production costs, SARI(A (R)) estimated wheat yield losses and economic net return for each micro-plot and herbicide application strategy. In both locations, weed infestation varied spatially from virtually weed-free micro-plots to 15 and 24% winter wheat yield loss in Navajas and LaFloridaII, respectively. Preliminary calculations indicate that net returns were slightly higher for areas with site-specific adjusted-rate applications than for the overall standard label rate application strategy. Both of these strategies provided considerably higher net returns compared to non-treated areas.
机译:通过在小麦衰老后期拍摄的远程图像,可以区分小麦中的燕麦Avena杂草压力类别。使用SARI(A(R))实现了针对特定地点的图像处理,SARI是ENVIA(R)的附加软件程序,旨在实施精确农业。使用SARI软件以及作物杂草竞争和经济模型,可以估算每个微区的精确产量损失,并获得除草剂处方图。使用实时地面数据和两个在LaFloridaII和Navajas(西班牙南部)感染了Avena sterilis的小麦田的远程图像,对控制指标和除草剂使用效率进行了模拟研究。模拟表明,精确的除草剂施用与播种施用相比将产生更高的总体除草剂节省量(OHS),但将取决于杂草侵染水平,在杂草侵染水平以上施用除草剂的决策标准(DMC)和大小而变化考虑的喷雾网格。例如,对于侵扰程度较低(约15%)的区域,DMC为0%,10%,20%和30%时,OHS分别为20%,44%,81%和90%。 SARI(A)还可以估算除草剂的总体施用效率(OHAE),这是一种重要的农业环境指数,可以估算在杂草地区施用除草剂的效率,而在无杂草地区则缺乏除草剂。理想情况下,如果完全控制杂草并且无需在无杂草区域使用除草剂,则OHAE等于1。 OHAE指数受微图大小和决策性除草剂施用标准(DMC)的影响。 OHAE值随微图大小的减小而增加,而不管杂草侵扰的强度如何。例如,当在DMC上进行平均时,对于低侵染区域,20 x 6 m,5 x 3 m和1.2 x 1.5 m的微图的OHAE值为0.27、0.57和0.76。通常,OHAE值随微图大小的减小而增加,而与杂草侵扰的强度无关。根据实际的杂草丰度数据,竞争模型和生产成本,SARI(A)估算了每种微区和除草剂施用策略的小麦单产损失和经济净收益。在这两个地方,杂草的侵扰在空间上都有所变化,从实际上没有杂草的微型图到纳瓦哈斯和LaFloridaII的冬小麦单产损失分别为15%和24%。初步计算表明,针对特定地点调整费率应用的地区的净收益略高于整体标准标签率应用策略。与未处理区域相比,这两种策略均提供了更高的净回报。

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