基于传感器的精确气应用提高了子 (Brassica juncea L.) 的生产率和利能力
Vasudev Meena1, Mohan Lal Dotaniya1, Murli Dhar Meena1
1ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.
PloS one
|June 21, 2024
概括
基于GreenSeeker (GS) 传感器的管理在中显著提高了作物产量和利能力. 这种先进的技术优化了肥料的使用,增强了营养的回收和减少环境风险相比,毯子应用.
科学领域:
- 农业学是一种农业学.
- 土壤科学 土壤科学
- 精准农业 精准农业 精准农业
背景情况:
- 降低作物生产率和营养回收与大规模施肥有关,导致污染.
- 绿色寻找者 (GS) 技术提供了4R营养管理方法 (正确的来源,数量,时间,地点).
- 没有先前的研究评估了子的GS,以提高产量,利能力和营养使用效率 (NUE),同时减轻环境影响.
研究的目的:
- 评估基于光学传感器的管理,使用GreenSeeker (GS) 在末 (Brassica juncea L.) 中进行评估.
- 将GS指导的应用与产量,利能力和NUE的总体建议 (RDF) 进行比较.
- 评估GS技术在子种植中的环境效益.
主要方法:
- 实地实验是在2021-22年和2022-23年拉比赛季进行的.
- 十个 (N) 处理,包括一个控制,被应用在随机区块设计与三重复制.
- 绿色搜索器光学传感器用于基于需求的实时管理.
主要成果:
- 基于GS的N应用显著改善了末的生长特征和产量参数.
- 与RDF相比,种子产量,净货币收益率和效益成本比分别增加了19.3%,125.1%和58.8%.
- GS技术减少了15-20%的气需求,同时比RDF提高了18.7%的产量,提高了作物生产效率和石油产量.
结论:
- 基于GreenSeeker的管理是一种可行的策略,可以提高子的生产力,利能力和NUE.
- 这种精密农业方法为最大限度地减少污染和优化化肥料使用提供了潜在的解决方案.
- GS技术有助于增加土壤有机碳 (SOC) 和提高作物生产效率.
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