A new study on precision farming has demonstrated the importance of collecting big data on swine farms, having those transformed into decision making tools and thus maximising profitability. Essentially, such a management system needs to be developed in 5 steps.

一項(xiàng)關(guān)于精準(zhǔn)養(yǎng)殖的新研究表明了，收集豬場(chǎng)大數(shù)據(jù)、將其轉(zhuǎn)化為決策工具、從而實(shí)現(xiàn)盈利最大化的重要性。從本質(zhì)上講，這樣一個(gè)管理系統(tǒng)需要通過5個(gè)步驟來(lái)開發(fā)。

The study was recently published in the scientific publication Animal Frontiers, a journal of the American Society of Animal Science. The article was authored by a range of pig experts from Spain, Ireland and Japan.

這項(xiàng)研究最近發(fā)表在美國(guó)動(dòng)物科學(xué)學(xué)會(huì)的期刊《動(dòng)物前沿》上，文章由來(lái)自西班牙、愛爾蘭及日本的養(yǎng)豬專家撰寫。

In the article, the authors explain that key in these developments are new technologies such as electronic feeders and artificial intelligence systems capturing big data will provide a better understanding of animal requirements and behaviour, increasing efficiency and sustainability.

在該文章中，作者解釋成，這些發(fā)展的關(guān)鍵是新技術(shù)，如電子飼喂器以及捕捉大數(shù)據(jù)的人工智能系統(tǒng)，這些將更好地理解動(dòng)物的需求和行為，從而提高效率和可持續(xù)性。

<img alt="看國(guó)外 " 五步法獲取豬場(chǎng)大數(shù)據(jù)"="" data-cke-saved-src="http://www.kgamso.com/skin/hnxmsyzz202501/image/lazy.gif" class="lazy" original="http://www.kgamso.com/file/upload/201905/14/110217442.jpg" src="http://www.kgamso.com/skin/hnxmsyzz202501/image/lazy.gif" class="lazy" original="http://www.kgamso.com/file/upload/201905/14/110217442.jpg" style="padding: 0px; margin: 0px; border: none;">

In addition, biosecurity can be improved using tracking devices for farm staff, recording movements real-time to decrease disease risks and consequently, improve health and productive performance.

再者，通過讓豬場(chǎng)工作人員使用跟蹤設(shè)備、實(shí)時(shí)記錄行動(dòng)軌跡，可以改進(jìn)生物安全，因?yàn)闇p少了疾病風(fēng)險(xiǎn)，改善了體況和生產(chǎn)性能。

No strong farm analysis purpose

沒有很強(qiáng)的分析目的

The authors explain that most of the data used by farmers have been related to the management of farm tasks, but not too much for analysis purposes. Most of them related to sow reproductive data or basic production summaries. Integration of data from different sources, think of slaughterhouse, lab, reproduction, health, or medicine use, was difficult and rare, according to the authors. And on top of that, there were few data support services assisting swine producers to get any further.

作者解釋說，養(yǎng)豬戶使用的大部分?jǐn)?shù)據(jù)都與豬場(chǎng)任務(wù)的管理有關(guān)，但沒有太多用于分析目的。其中大多數(shù)與母豬繁殖數(shù)據(jù)或基本生產(chǎn)總結(jié)有關(guān)。作者認(rèn)為，整合來(lái)自不同來(lái)源的數(shù)據(jù)，比如屠宰場(chǎng)、實(shí)驗(yàn)室、生殖、健康或藥物使用，既困難又罕見。最重要的是，幾乎沒有數(shù)據(jù)支持服務(wù)來(lái)幫助養(yǎng)豬戶取得任何進(jìn)展。

Examples of using data in arable farming has shown that it is possible, the authors wrote. Ideally, such a management system should consist of 5 steps:

作者寫道，在可耕地上使用數(shù)據(jù)的例子表明，這是可行的。理想情況下，這樣的管理系統(tǒng)應(yīng)該包括5個(gè)步驟:

1 Data collection

The authors wrote that data are the raw material of the system and can come from human inputs or sensor-robots. Until now, data consisted only of numbers, but the sector is coming closer to the use of images and sounds.

1 數(shù)據(jù)采集

作者寫道，數(shù)據(jù)是系統(tǒng)的原材料，可以來(lái)自人類輸入或傳感器機(jī)器人。到目前為止，數(shù)據(jù)僅由數(shù)字組成，但未來(lái)越來(lái)與有可能使用圖像和聲音。

2 Data processing

Data processing is related to the manipulation of data, including several tasks such as validation, sorting or aggregation, management of outliers and missing data. The objective is the correct set-up of databases that allows proper information generation, overcoming interoperability problems.

2 數(shù)據(jù)處理

數(shù)據(jù)處理與數(shù)據(jù)操作相關(guān)，包括驗(yàn)證、排序或聚合、管理異常值和丟失的數(shù)據(jù)等幾個(gè)任務(wù)。其目標(biāo)是正確地設(shè)置數(shù)據(jù)庫(kù)，以便正確地生成信息，克服互操作性問題。

3 Reporting

From sow cards or working lists up to multivariate regression analysis to define the optimum value for a certain key performance indicator, every farm or company must decide the information needed from every work level, not forgetting that this could be either technical, economical, or a combination of the 2.

3 數(shù)據(jù)報(bào)告

從母豬卡或工作單到定義某一關(guān)鍵績(jī)效指標(biāo)的最優(yōu)值的多元回歸分析，每個(gè)農(nóng)場(chǎng)或公司都必須確定每個(gè)工作級(jí)別所需的信息，別忘了可以是技術(shù)層面或經(jīng)濟(jì)層面，也可以是兩者的結(jié)合。

4 Distribution

The objective of this step is sending the right information to the right person at the right time. User preferences must also be considered and can include various types.

4 數(shù)據(jù)分配

這一步的目標(biāo)是在正確的時(shí)間向正確的人發(fā)送正確的信息。還必須考慮用戶首選項(xiàng)，可以包括各種類型。

5 Analytics and decision making

Information must be readable and understood by the recipient, and the recipient must have sufficient time to make key decisions. Until now, analytics were aimed at being mainly explanatory, but due to the amount of quality data available, predictive analytics is becoming a key step.

5 數(shù)據(jù)分析及決策

信息必須可為接收者閱讀和理解，并且，接收者必須有足夠的時(shí)間做出關(guān)鍵決定。到目前為止，分析的目的主要是解釋，但受限于可用的高質(zhì)量數(shù)據(jù)的數(shù)量，預(yù)測(cè)分析正成為一個(gè)關(guān)鍵步驟。

The authors mentioned much technology which can help acquire and interpret data. They mentioned for instance:

作者提到了許多有助于獲取和解讀數(shù)據(jù)的技術(shù)。例如，他們提到:

Data collection performed by robots and sensors

由機(jī)器人和傳感器完成數(shù)據(jù)收集

This technology includes a range of technology that can measure, observe and interpret pig and sow behaviour. Some are well-known, others are brand new. Think of:

這項(xiàng)技術(shù)包括一系列可以測(cè)量、觀察和解讀豬及母豬行為的技術(shù)。有些是我們熟知的，有些是全新的。比如:

Oestrus behaviour: PigWatch, by Canadian company Ro-Main is a computerised artificial insemination management system designed to predict the best time to inseminate recently weaned sows. It consists of motion sensors installed on the top of every stall in the breeding area, a data analysis module and a software user interface.

發(fā)情行為:加拿大公司Ro-Main開發(fā)的PigWatch是一個(gè)計(jì)算機(jī)化的人工授精管理系統(tǒng)，旨在預(yù)測(cè)近期斷奶母豬的最佳授精時(shí)間。由安裝在繁殖區(qū)每一個(gè)畜欄頂部的運(yùn)動(dòng)傳感器、一個(gè)數(shù)據(jù)分析模塊和一個(gè)軟件用戶界面組成。

Eating behaviour in gestating sows: This behaviour is usually monitored using an ear transponder with radio frequency identification (RFID) that identifies the individual animal at each visit to the feeder.

妊娠母豬的進(jìn)食行為:這種行為通常通過帶有射頻識(shí)別(RFID)的耳朵應(yīng)答器進(jìn)行監(jiān)控，該設(shè)備在每次這頭豬前去進(jìn)食時(shí)都能識(shí)別出來(lái)。

Eating behaviour in lactating sows: Similar electronic sow feeder systems are also available for lactating sows, which are individually housed. New options allowing the sow to choose how much and when to eat have recently arrived at the market (Gestal Solo, Jyga Technologies), thus enabling the farmer to know the lactation intake pattern. ESF systems are also available for grow-finishing pigs.

哺乳期母豬的進(jìn)食行為:類似的電子喂豬系統(tǒng)也可用于單獨(dú)飼養(yǎng)的哺乳期母豬。最近市場(chǎng)上出現(xiàn)了允許母豬選擇吃多少和什么時(shí)候吃的新產(chǎn)品(Gestal Solo, Jyga Technologies)，養(yǎng)豬戶因而有機(jī)會(huì)了解哺乳期的飼喂模式。電子母豬飼喂（ESF）系統(tǒng)也可用于生長(zhǎng)肥育豬。

Early disease detection based on image analytics: A motion-based video system for early disease detection has recently been described.

基于圖像分析的早期疾病檢測(cè):這是一種通過記錄生豬行動(dòng)，進(jìn)行早期疾病檢測(cè)的視頻系統(tǒng)。

Environment-oriented data

以環(huán)境為導(dǎo)向的數(shù)據(jù)

Thanks to the development of new technologies, farmers are now able to continuously monitor, air quality, temperature, and humidity in real time via sensors. Recently, EU-funded ProHealth project showed how big data could be used to fight diseases.

得益于新技術(shù)的發(fā)展，養(yǎng)豬戶現(xiàn)在可以持續(xù)通過傳感器實(shí)時(shí)監(jiān)測(cè)空氣質(zhì)量、溫度和濕度。最近，歐盟資助的ProHealth項(xiàng)目展示了如何利用大數(shù)據(jù)對(duì)抗疾病。

Real-time biosecurity control

實(shí)時(shí)生物安全控制

Models to assess biosecurity are based on scoring systems or survey forms. A new approach addresses biosecurity is the use of real-time devices (B-eSecure System) to control the internal movement of farm staff.

評(píng)估生物安全的模型基于評(píng)分系統(tǒng)或調(diào)查表格。一種解決生物安全問題的新方法是使用實(shí)時(shí)設(shè)備(B-eSecure系統(tǒng))來(lái)控制工作人員在場(chǎng)內(nèi)的移動(dòng)。

The article was written by Carlos Pi?eiro, Maria Aparicio, Joaquín Morales and María Rodríguez, PigChamp Pro Europa, Spain; Edgar García Manzanilla, Teagasc, Ireland; Yuzo Koketsu, Meiji University, Japan.

這篇文章是由西班牙的Carlos Pineiro、Maria Aparicio、Joaquin Morales、Maria Rodriguez、PigChamp Pro Europa；愛爾蘭的Edgar García Manzanilla,、Teagasc，以及日本明治大學(xué)的Yuzo Koketsu共同撰寫而成。