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基于田间土壤养分变异性的制图指导智慧农业:来自印度三个马铃薯农业生态区的 FarmerZone Sentinel-1 案例研究。

Mapping of on-field soil nutrient variabilities as a guiding force for smart farming: a case study from FarmerZone sentinel-1 from three potato agroecological zones of India.

机构信息

School of Biosciences and Bioengineering, Indian Institute of Technology Mandi, Kamand, Himachal Pradesh, 175075, India.

ICAR-Central Potato Research Institute, Shimla, Himachal Pradesh, India.

出版信息

Environ Monit Assess. 2024 Aug 5;196(9):785. doi: 10.1007/s10661-024-12945-z.

Abstract

Mapping of soil nutrient parameters using experimental measurements and geostatistical approaches to assist site-specific fertiliser advisories is anticipated to play a significant role in Smart Agriculture. FarmerZone is a cloud service envisioned by the Department of Biotechnology, Government of India, to provide advisories to assist smallholder farmers in India in enhancing their overall farm production. As a part of the project, we evaluated the soil spatial variability of three potato agroecological zones in India and provided soil health cards along with field-specific fertiliser recommendations for potato cultivation to farmers. Specifically, 705 surface samples were collected from three representative potato-growing districts of Indian states (Meerut, UP; Jalandhar, Punjab and Lahaul and Spiti, HP) and analysed for soil parameters such as organic carbon, macronutrients (NPK), micronutrients (Zn, Fe, Mn, and Cu), pH, and EC. The soil parameters were integrated into a geodatabase and subjected to kriging interpolation to create spatial soil maps of the targeted potato agroecological zones through best-fit experimental semivariograms. The spatial distribution showed a deficiency of soil organic carbon in two studied zones and available nitrogen among all studied zones. The available phosphorus and potassium varied among the agroecological zones. The micronutrient levels were largely sufficient in all the zones except at a few specific sites where nutrient advisories are recommended to replenish. The general management strategies were recommended based on the nutrient status in the studied area. This study clearly supports the significance of site-specific soil analytics and interpolated spatial soil mapping over any targeted agroecological zones as a promising strategy to deliver reliable advisories of fertiliser recommendations for smart farming.

摘要

利用实验测量和地统计学方法来绘制土壤养分参数图,以协助进行特定地点的肥料建议,预计将在智慧农业中发挥重要作用。FarmerZone 是印度生物技术部设想的一项云服务,旨在为印度的小农户提供建议,以提高他们的整体农场产量。作为该项目的一部分,我们评估了印度三个马铃薯农业生态区的土壤空间变异性,并为农民提供了土壤健康卡以及针对马铃薯种植的特定田间肥料建议。具体来说,从印度三个代表性的马铃薯种植区(北方邦的 Meerut;旁遮普邦的 Jalandhar 和喜马偕尔邦和拉达克的 Lahaul 和 Spiti)收集了 705 个表层样本,并对土壤参数进行了分析,如有机碳、大量营养素(NPK)、微量营养素(Zn、Fe、Mn 和 Cu)、pH 值和电导率。这些土壤参数被整合到一个地理数据库中,并通过最佳拟合实验半变异函数进行克里金插值,以创建目标马铃薯农业生态区的空间土壤图。空间分布显示,在两个研究区域中土壤有机碳不足,而在所有研究区域中有效氮不足。可利用的磷和钾在农业生态区之间有所不同。除了在少数需要补充养分建议的特定地点外,微量元素水平在所有区域都基本充足。根据研究区域的养分状况,推荐了一般管理策略。这项研究清楚地支持了特定地点土壤分析和插值空间土壤制图在任何目标农业生态区的重要性,这是为智慧农业提供可靠肥料建议的有前途的策略。

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