Variable Rate Applications for Agrochemical Inputs per Head of Lettuce

生菜种植者目前在作物生命周期中进行7到8次“干预”，如下所示；*土壤测试/基础养分（N，P，K）施用*种植-磷(P)施用* VRN试验*除草和氮(N)施用3周*每周通过预防性农药，共6至7次施用*二次肥料施用*收获*收获后除草剂施用对于每个干预措施，蜂鸟将收集和分析数据并随后进行试验，以建立模型，帮助种植者更有效地进行干预。高效和盈利。该项目的最终目标是允许种植者根据植物的需求实现每棵植物的数据驱动可变速率应用。下面突出显示了每个区域：基础应用程序：_Soil_1。田间历史：田间形状文件，数字高程模型（DEM），以前的作物和土壤质量报告。这将形成用于确定该领域当前质量的“证据”。应用模式：以田间历史和作物类型作为输入，在理想的应用中确定田间的养分需求。指令生成：考虑物理限制（使用的农业机械，可用的肥料等），将理想的应用程序转换为可变速率指令图。植物应用：氮和农药。大小和计数地图：来自遥感图像的NDVI将与高程图，土壤和天气数据相结合，以生成理想的应用程序。关于作物性能和对第一次施用的反应的数据将用于通知后续的施用。应用模型：使用步骤1的结果-在理想的应用中确定田地的养分需求。指令生成：考虑物理限制（使用的农业机械，可用的肥料），并将理想的应用程序转换为可变速率指令图。农药：由于抗病品种与非抗病品种种植在一起，因此目前使用了不必要的农药。基于各种类型的Shapefile应用程序映射将在需要时针对这些应用程序。收获：大多数产量损失发生在收获时，因为植株太小或太大。基地和植物应用程序将致力于减少这种可变性，但尺寸和计数地图的延续将引导收获钻机到田地的区域，由于其大小，将首先准备好，然后进入下一个区域。收获后除草剂：根据不同的用量；收获的作物，残留的作物和杂草，从而减少化学品过度喷洒，潜在的径流和环境影响。

Lettuce growers currently make 7 to 8 'interventions' in the course of a crop life-cycle listed below;* Soil testing / Base nutrient (N,P,K) application* Planting - Phosphorous (P) application* VRN Trials* Weeding and nitrogen (N) application at 3 weeks* Weekly pass with prophylactic pesticide, 6 to 7 applications in total* Secondary fertiliser application* Harvest* Post-harvest herbicide applicationFor each intervention, Hummingbird will collect and analyse data and subsequently conduct trials to build models that can help growers target their interventions more effectively, efficiently and profitably. The ultimate aim for this project is to allow growers to achieve data driven variable rate applications per individual plant based on the plant's needs.Each area is highlighted below:Base Application: _Soil_1. Field History: Field shapefiles, Digital Elevation Models (DEM), previous crops, and soil quality reports. This will form the 'Evidence' used to determine the current quality of the field.2. Application Model: taking field history and crop type as inputs, determining the nutrient requirements of the field in an idealised application.3. Instruction Generation: considering physical constraints (farm machinery used, fertiliser available, etc) converting the ideal application into a variable rate instruction map.Plant Applications: nitrogen & pesticides_1. Sizing & counting maps: NDVI from remote sensed imagery will be combined with elevation maps, soil and weather data to generate the idealised application. Data on the crop performance and response to the first application will then be used to inform the subsequent applications.2. Application Model: Using the results from step 1 - determining the nutrient requirements of the field in an idealised application.3. Instruction Generation: considering physical constraints (farm machinery used, fertiliser available) and converting the ideal application into a variable rate instruction map.Pesticides: Disease resistant varieties are currently given unnecessary pesticide applications as they are planted in the field with non-resistant varieties. Shapefile application maps based on variety type will target these applications where needed.Harvest: Most yield loss occurs at harvest due to plants that are either too small/big. Base & Plant Applications will aim to reduce this variability but continuations of the sizing & counting maps will direct the harvest rig to areas of the field that, due to their size, will be ready first then onto the next zone.Post-harvest Herbicide: Vary rates according to; harvested crops, residual crops and weeds thereby reducing chemical overspray, potential runoff and environmental impact.