A low cost sensor to improve surface irrigation management

IF 5.4 2区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Precision Agriculture Pub Date : 2024-10-13 DOI:10.1007/s11119-024-10190-5

P. Vandôme, S. Moinard, G. Brunel, B. Tisseyre, C. Leauthaud, G. Belaud

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Abstract

This study presents the development and the evaluation of a low-cost sensor-based system to optimize the management of surface irrigation at the field level. During a surface irrigation event, water flows according to the slope of the field and it is difficult and time-consuming to predict the optimal time when inflow should be stopped. In such systems, measurement tools are uncommon and those existing are far too complex and expensive to be used as decision support tools on small farms. This article presents the development of an Open Source system, based on low-cost technologies, Internet of Things and LoRaWAN network, that allows: (i) detection of water at the sensor location in the field, (ii) sending an alert by phone to the user and (iii) remote control of surface irrigation gates. The metrological characteristics of the system and its suitability were tested in real conditions during one irrigation season of hay fields in the Mediterranean region. The results highlighted the reliability of the low-cost sensor system for detecting water and transmitting information remotely, with a 100% success rate. Remote control of irrigation gates was successful in 89% of trials carried out in the field, and adjustments resulted in a 100% success rate. The savings in labour time for the farmer and in irrigation water volumes made possible by the use of this system, as well as the inevitable trade-offs between accessibility, reliability and robustness of new technologies for agriculture, are finally discussed.

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改善地表水灌溉管理的低成本传感器

本研究介绍了一种基于传感器的低成本系统的开发和评估情况，该系统旨在优化地表水灌溉的田间管理。在地表水灌溉过程中，水会根据田地坡度流动，要预测停止灌溉的最佳时间既困难又耗时。在这种系统中，测量工具并不常见，现有的测量工具也过于复杂和昂贵，无法用作小型农场的决策支持工具。本文介绍了基于低成本技术、物联网和 LoRaWAN 网络开发的开源系统，该系统可实现以下功能(i) 检测田间传感器位置的水量，(ii) 通过电话向用户发送警报，(iii) 远程控制地面灌溉闸门。在地中海地区一个干草田灌溉季节的实际条件下，对该系统的计量特性及其适用性进行了测试。结果表明，该低成本传感器系统在检测水量和远程传输信息方面非常可靠，成功率达 100%。在田间进行的试验中，89% 的灌溉闸门远程控制取得了成功，调整灌溉闸门的成功率为 100%。最后讨论了使用该系统可节省农民的劳动时间和灌溉水量，以及在农业新技术的可及性、可靠性和稳健性之间不可避免的权衡问题。

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来源期刊

Precision Agriculture 农林科学-农业综合

CiteScore

12.30

自引率

8.10%

发文量

103

审稿时长

>24 weeks

期刊介绍： Precision Agriculture promotes the most innovative results coming from the research in the field of precision agriculture. It provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of precision farming. There are many topics in the field of precision agriculture; therefore, the topics that are addressed include, but are not limited to: Natural Resources Variability: Soil and landscape variability, digital elevation models, soil mapping, geostatistics, geographic information systems, microclimate, weather forecasting, remote sensing, management units, scale, etc. Managing Variability: Sampling techniques, site-specific nutrient and crop protection chemical recommendation, crop quality, tillage, seed density, seed variety, yield mapping, remote sensing, record keeping systems, data interpretation and use, crops (corn, wheat, sugar beets, potatoes, peanut, cotton, vegetables, etc.), management scale, etc. Engineering Technology: Computers, positioning systems, DGPS, machinery, tillage, planting, nutrient and crop protection implements, manure, irrigation, fertigation, yield monitor and mapping, soil physical and chemical characteristic sensors, weed/pest mapping, etc. Profitability: MEY, net returns, BMPs, optimum recommendations, crop quality, technology cost, sustainability, social impacts, marketing, cooperatives, farm scale, crop type, etc. Environment: Nutrient, crop protection chemicals, sediments, leaching, runoff, practices, field, watershed, on/off farm, artificial drainage, ground water, surface water, etc. Technology Transfer: Skill needs, education, training, outreach, methods, surveys, agri-business, producers, distance education, Internet, simulations models, decision support systems, expert systems, on-farm experimentation, partnerships, quality of rural life, etc.