From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping

IF 5.4 2区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Md. Samiul Basir, Dennis Buckmaster, Ankita Raturi, Yaguang Zhang
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Abstract

In the present era of agricultural digitalization, documenting on-farm operations is critical. These records contextualize other layers of data and underpin economic analysis and informed decision-making. On-farm recordkeeping is rooted in an ancient tradition and has evolved from pen and paper to digital means integrating diverse tools and methods. These tools vary widely in mode of data recording and this presents challenges in achieving complete, accurate and interoperable data. Assessing this diversity of existing recordkeeping systems is a key step toward the improvement in recordkeeping systems that enhance data quality and interoperability. Despite the importance, as of present, comprehensive studies addressing this challenge are lacking. A systematic review of existing on-farm recordkeeping systems was carried out to address their advantages and weaknesses and to analyze their features and traits, focusing on interoperability and adherence to efficient and comprehensive on-farm recordkeeping. Paper-based recordkeeping, a longstanding and reliable method, is gradually being replaced by digital platforms. Many universities and agencies have released farm management spreadsheets and interactive database forms representing the initial step toward intuitive recordkeeping. Furthermore, farm management software, web apps, and user-friendly smartphone apps are increasingly crucial for handling agricultural big data. Notably, among the surveyed software packages and apps, most of them are not free and only a few support data interoperability. The survey also indicates a scope for further development in open-source tools with automation in recordkeeping. Adopting digital on-farm recordkeeping tools can positively impact both on and off the farm, fostering data interoperability, controlled yet flexible data access, completeness, and appropriate accuracy.

Abstract Image

从纸笔到数字精确:农场记录保存的全面审查
在当前农业数字化时代,记录农场运营情况至关重要。这些记录为其他层级的数据提供了背景信息,是经济分析和知情决策的基础。农场记录保存植根于古老的传统,并已从纸笔发展到集成各种工具和方法的数字化手段。这些工具的数据记录模式差异很大,这给实现完整、准确和可互操作的数据带来了挑战。评估现有记录保存系统的多样性是改进记录保存系统、提高数据质量和互操作性的关键一步。尽管这很重要,但目前还缺乏应对这一挑战的全面研究。我们对现有的农场记录保存系统进行了系统性审查,以解决其优势和劣势,分析其特点和特征,重点关注互操作性和坚持高效、全面的农场记录保存。纸质记录保存作为一种长期可靠的方法,正逐渐被数字平台所取代。许多大学和机构已经发布了农场管理电子表格和交互式数据库表格,迈出了直观记录的第一步。此外,农场管理软件、网络应用程序和用户友好型智能手机应用程序对于处理农业大数据也越来越重要。值得注意的是,在接受调查的软件包和应用程序中,大多数都不是免费的,只有少数支持数据互操作性。调查还表明,记录保存自动化的开源工具还有进一步发展的空间。采用数字化农场记录保存工具可对农场内外产生积极影响,促进数据互操作性、受控但灵活的数据访问、完整性和适当的准确性。
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来源期刊
Precision Agriculture
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.
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