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Exploratory analysis of potential zones for differential management in precision agriculture through soil-plant-climate patterns

机译:通过土壤-植物-气候模式对精准农业中差异管理的潜在区域进行探索性分析

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摘要

Crop site-specific management, also known as precision farming, is related to the application of information technology to the agricultural systems. The implementation of precision farming programs depends on the integration of soil, plant and climate data in order to generate useful information. The recognition of patterns for soil and plant properties is important especially for crop zone management strategies. Aiming to study management aspects by zone delineation and spatial yield patterns, a field experiment was carried out in Angatuba, SP (23º33 S; 48º18 W; 670 m). Grid soil sampling was performed and plant and climatic data were collected in a 40 ha area cultivated with maize autumn sowing, in two consecutive growing seasons. Integration of these data was done under a procedure for soil pattern recognition, aiming a management by zone delineation and yield spatial distribution verification. The proposed integrated procedures for area segmentation showed to be promising and the management by zone delineation process suggests itself to be influenced by mean properties and climatic conditions.
机译:特定于作物地点的管理,也称为精确农业,与信息技术在农业系统中的应用有关。精确农业计划的实施取决于土壤,植物和气候数据的整合,以便产生有用的信息。识别土壤和植物特性的模式非常重要,特别是对于作物区域管理策略。为了通过区域划分和空间产量模式研究管理方面,在SP安哥图巴(23º33S;48º18W; 670 m)进行了田间试验。在连续两个生长季节中,在40公顷玉米秋播种植的区域进行了网格土壤采样并收集了植物和气候数据。这些数据的整合是在土壤模式识别程序下完成的,旨在通过区域划分和产量空间分布验证进行管理。拟议的区域分割综合程序被证明是有前途的,并且通过区域划定过程进行的管理表明其本身受平均性质和气候条件的影响。

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