IOT based Innovative Irrigation using Adaptive Cuckoo Search Algorithm comparison with the State of Art Drip Irrigation to attain Efficient Irrigation

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI:10.1109/ICTACS56270.2022.9987981

P. Jahnavi, P. Kalyanasundaram

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引用次数: 2

Abstract

The main objective of the system is to fabricate a Smart irrigation system which will operate on wireless control to provide sufficient water to the crops, which is automatic and helps in saving water. Comparing the efficiency of silt soil and peat soil using a Cuckoo search algorithm. Materials and method: The groups are taken into account. Group 1 is silt soil and Group 2 is considered with peat soil. A total of 20 samples are taken from 2 groups. G-power is used for analyzing with 985% confidence level, error rate of 0.95. The considered threshold is 0.05. The Significance is observed to be P > 0.05. Result: Comparing silt soil and peat soil, which soil is suitable for horticulture and which among those soils can maintain low% of moisture. Therefore, the Cuckoo Search algorithm offers a minimum percentage of moisture content Conclusion: In the case of horticulture, Silt soil appears to be better than Peat soil. Traditional issues in the horticulture system are overcome by adaptive Cuckoo search algorithms.

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基于物联网的创新灌溉，采用自适应布谷鸟搜索算法与最先进的滴灌进行比较，实现高效灌溉

该系统的主要目标是制造一个智能灌溉系统，该系统将通过无线控制运行，为作物提供足够的水，这是自动的，有助于节约用水。用布谷鸟搜索算法比较淤泥土和泥炭土的效率。材料和方法:考虑分组。第1组为粉土，第2组为泥炭土。从两组共抽取20个样本。采用G-power进行分析，置信度为985%，错误率为0.95。考虑的阈值为0.05。P > 0.05，差异有统计学意义。结果:比较淤泥质土和泥炭质土中哪一种土壤适合园艺，哪一种土壤能保持低含水率。因此，布谷鸟搜索算法提供了最小的含水率百分比。结论:在园艺情况下，淤泥土似乎比泥炭土更好。自适应布谷鸟搜索算法克服了园艺系统中的传统问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)

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