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人工智能如何帶“火”農(nóng)業(yè)(人工智能如何應(yīng)用于農(nóng)業(yè)? 趙春江院士:分五步)

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  農(nóng)機(jī)大全網(wǎng)(www.digitalhomeuk.com)今天給各位分享人工智能如何帶“火”農(nóng)業(yè)的知識(shí),其中也會(huì)對(duì)人工智能如何應(yīng)用于農(nóng)業(yè)? 趙春江院士:分五步進(jìn)行解釋?zhuān)绻芘銮山鉀Q你現(xiàn)在面臨的問(wèn)題,別忘了關(guān)注本站,現(xiàn)在開(kāi)始吧!

本文導(dǎo)讀目錄:

1、人工智能如何帶“火”農(nóng)業(yè)

2、人工智能如何應(yīng)用于農(nóng)業(yè)? 趙春江院士:分五步

3、人工智能將顛覆傳統(tǒng)農(nóng)業(yè),你準(zhǔn)備好了嗎(中英雙語(yǔ))

人工智能如何帶“火”農(nóng)業(yè)

人工智能如何帶“火”農(nóng)業(yè)

?人工智能如何帶“火”農(nóng)業(yè)

在底肥里添加油渣,是紀(jì)榮喜(前)種植草莓的秘方?!∧鹿Αz

7月20日清晨,全國(guó)勞動(dòng)模范紀(jì)榮喜起了個(gè)大早,收拾行囊從江蘇鎮(zhèn)江趕往云南昆明。同他一起上飛機(jī)的,除了鎮(zhèn)江市的幾位草莓種植“高手”外,還有一大包農(nóng)家肥和鏟子等農(nóng)具——這是他為參加第一屆“多多農(nóng)研科技大賽”決賽準(zhǔn)備的“裝備”。

7月22日,由中國(guó)農(nóng)業(yè)大學(xué)和拼多多共同發(fā)起的第一屆“多多農(nóng)研科技大賽”決賽在昆明正式啟動(dòng)。自大賽啟動(dòng)招募開(kāi)始,吸引了來(lái)自全球超過(guò)17支AI(人工智能)隊(duì)伍,超過(guò)108人報(bào)名。經(jīng)過(guò)激烈的初賽答辯及評(píng)審,最終,4支“AI隊(duì)伍”進(jìn)入決賽。與他們一起較量的,是紀(jì)榮喜勞模工作隊(duì)、圣野漿果富民隊(duì)、艷九天巾幗隊(duì)、神農(nóng)小隊(duì)等4支由國(guó)內(nèi)頂尖草莓農(nóng)人組成的隊(duì)伍。

在接下來(lái)4個(gè)月,54位選手將在位于昆明市富民縣的國(guó)家高原云果產(chǎn)業(yè)園內(nèi)開(kāi)展高原草莓“人機(jī)”種植競(jìng)賽,探索“傳統(tǒng)經(jīng)驗(yàn)”與“人工智能”的結(jié)合之道,最終得到可復(fù)制的本土化數(shù)字農(nóng)業(yè)解決方案。

資深農(nóng)人帶著“秘方”來(lái)參賽

記者在23日的比賽現(xiàn)場(chǎng)看到,8個(gè)全透明的獨(dú)立溫室內(nèi)各有6條10米的基質(zhì)槽用于種植草莓,目前草莓苗已全部定植完畢。

主辦方介紹,為保持比賽的公平性,選手所使用的草莓均是由云南農(nóng)業(yè)科學(xué)院統(tǒng)一提供的“章姬”品種。大賽提供標(biāo)準(zhǔn)版的基質(zhì)、水肥,參賽團(tuán)隊(duì)也可根據(jù)自身需求調(diào)配,最終進(jìn)行成本核算。

“農(nóng)人隊(duì)”的溫室為傳統(tǒng)鋼架地栽溫棚,配備定比施肥器、水泵、滴灌軟管等基本設(shè)備。這些裝備雖然平淡無(wú)奇,但頂尖農(nóng)人們卻各有“秘方”。

“我的秘訣很簡(jiǎn)單,就是在底肥里添加油渣,這樣種出來(lái)的草莓更香甜?!奔o(jì)榮喜說(shuō),江蘇鎮(zhèn)江有著三十多年的草莓種植歷史,他本人從1984年起就開(kāi)始種草莓。這次希望通過(guò)精細(xì)化管理和豐富農(nóng)事經(jīng)驗(yàn),能夠和“人工智能”一決高下。

由遼寧省第十三屆人大代表馬廷東牽頭的“圣野漿果富民”隊(duì)對(duì)比賽信心滿滿,隊(duì)中有鉆研草莓三十年的高級(jí)農(nóng)藝師史功成?!霸趥鹘y(tǒng)草莓種植過(guò)程中,農(nóng)人的經(jīng)驗(yàn)十分重要,需要對(duì)草莓進(jìn)行長(zhǎng)期、精細(xì)的照料,根據(jù)草莓所處的不同時(shí)期隨時(shí)做調(diào)整。”史功成向記者解釋?zhuān)氨热绗F(xiàn)在,草莓植株定植成活后會(huì)長(zhǎng)出較多的匍匐莖,要及時(shí)摘去,否則會(huì)消耗母株?duì)I養(yǎng);有些剛長(zhǎng)出來(lái),藏在葉片下面很不起眼,用機(jī)器不一定能立刻發(fā)現(xiàn)?!笔饭Τ梢贿呎f(shuō)著,一邊從葉柄基部小心翼翼地摘掉一個(gè)很小的匍匐莖。

90后孫郁晴是一名“莓二代”,她是“艷九天巾幗”隊(duì)的成員,在剛剛拿到美國(guó)東北大學(xué)研究生獎(jiǎng)學(xué)金后,孫郁晴選擇回到家鄉(xiāng),和母親一起從事草莓種植行業(yè)。

“來(lái)之前,我們不知道現(xiàn)在技術(shù)已經(jīng)這么先進(jìn)了。以前我們也用過(guò)物聯(lián)網(wǎng)技術(shù),但傳感器數(shù)據(jù)處理不準(zhǔn)確,覺(jué)得還不如人工方便,就放棄了。希望借這次比賽,把草莓種植在經(jīng)驗(yàn)的基礎(chǔ)上再往前推一步,尤其看AI怎么把種植決策建立在精準(zhǔn)的數(shù)據(jù)基礎(chǔ)上,為我們公司日后的發(fā)展,提高工人的工作效率等做鋪墊?!?/p>

構(gòu)建人和AI協(xié)同發(fā)展的共生關(guān)系

和“傳統(tǒng)組”相對(duì)是AI組的四個(gè)高大溫室,里面設(shè)施相對(duì)比較復(fù)雜,配備了內(nèi)遮陽(yáng)、頂開(kāi)窗、側(cè)開(kāi)窗、內(nèi)循環(huán)通風(fēng)、灌溉、施肥、水肥智能控制等系統(tǒng)。記者注意到,棚內(nèi)完全看不到工作人員的身影,只有溫度、濕度、光照等數(shù)值在電子顯示屏上閃爍。

“我們的AI系統(tǒng)能讀取溫度、風(fēng)速、輻射強(qiáng)度、相對(duì)濕度等38個(gè)生產(chǎn)環(huán)境參數(shù)。即便不在溫室,也能遠(yuǎn)程調(diào)控通風(fēng)窗、水肥等?!盇I戰(zhàn)隊(duì)“智多莓”的隊(duì)長(zhǎng)程飚介紹,相比傳統(tǒng)種植,人工智能種草莓在節(jié)省人力、精準(zhǔn)調(diào)控上有顯著優(yōu)勢(shì)。

這支來(lái)自云南本土的技術(shù)強(qiáng)隊(duì)計(jì)劃將近紅外光譜分析技術(shù)應(yīng)用在草莓生長(zhǎng)上。這項(xiàng)技術(shù)此前被公安、化工領(lǐng)域成熟應(yīng)用,常見(jiàn)于毒品、化工品的無(wú)損檢測(cè)。

程飚介紹,原理在于將光譜變化同植株生長(zhǎng)、病蟲(chóng)害對(duì)應(yīng),并通過(guò)15項(xiàng)環(huán)境參數(shù)、7項(xiàng)作物參數(shù),建立起一套草莓PCSE生長(zhǎng)模型,并由AI自動(dòng)做出種植策略判斷。

“用算法訓(xùn)練機(jī)器的同時(shí),也希望可以訓(xùn)練農(nóng)人,讓其靈活掌握應(yīng)用這套技術(shù),讓農(nóng)民變成技術(shù)工人?!背天f(shuō)。

如何讓人工智能、機(jī)器人學(xué)習(xí)到頂尖農(nóng)人們的種植經(jīng)驗(yàn),進(jìn)而優(yōu)化生產(chǎn)管理過(guò)程,這始終是科學(xué)家們?cè)诖舜伪荣愔嘘P(guān)心的問(wèn)題。

來(lái)自荷蘭瓦赫寧根大學(xué)博士生閔錢(qián)曦是云南人,作為一支AI戰(zhàn)隊(duì)的成員,她希望探索將最前沿的技術(shù)在家鄉(xiāng)落地?!跋乱淮鷾厥抑悄芸刂频哪J綄?huì)是基于‘感知—傳輸—思考’的決策模式,通過(guò)雙層算法單元讓AI提供更優(yōu)的解決辦法?!彼J(rèn)為,人類(lèi)的知識(shí)和經(jīng)驗(yàn),可以和AI共存,并且用更簡(jiǎn)單、更可持續(xù)方法為每個(gè)人提供優(yōu)質(zhì)美味的蔬果。

Cyberfarmer(網(wǎng)絡(luò)莓農(nóng))隊(duì)的代表林森有類(lèi)似觀點(diǎn)。他們?cè)跊Q賽中,將采用基于知識(shí)圖譜的溫室智慧管控決策方法。簡(jiǎn)單來(lái)說(shuō),就是輸出一套草莓種植決策模型,并根據(jù)草莓生長(zhǎng)參數(shù)和環(huán)境參數(shù)的反饋,訓(xùn)練AI進(jìn)行自動(dòng)控制。

“當(dāng)前的人工智能,是大數(shù)據(jù)和深度學(xué)習(xí)為代表的弱人工智能,更高級(jí)形式則是碳智能和人機(jī)混合智能?!绷稚f(shuō),未來(lái)人和AI一定是協(xié)同發(fā)展、人機(jī)共生的關(guān)系。

探索可復(fù)制的數(shù)字科技應(yīng)用范本

中國(guó)農(nóng)業(yè)大學(xué)副校長(zhǎng)龔元石表示,這次比賽的初衷,在于探索將國(guó)際最前沿的數(shù)字農(nóng)業(yè)科技做本地化應(yīng)用,形成一套可復(fù)制、可推廣的模式與經(jīng)驗(yàn),并在中國(guó)各大農(nóng)業(yè)產(chǎn)區(qū)落地。

在決賽中,各支隊(duì)伍種出的草莓將經(jīng)歷嚴(yán)格評(píng)估:產(chǎn)量及品質(zhì)、投入產(chǎn)出比、算法及種植策略的先進(jìn)性等。

“多多農(nóng)研科技大賽”組委會(huì)負(fù)責(zé)人蘭克介紹,關(guān)鍵在于利用能源及農(nóng)資最少,種出草莓品質(zhì)最佳,效益最高。

南京農(nóng)業(yè)大學(xué)教授倪軍是一支本土AI隊(duì)伍的隊(duì)長(zhǎng),他認(rèn)為利用多樣性傳感器及作物生長(zhǎng)感知技術(shù),可以有效減少化肥、農(nóng)藥用量,提升產(chǎn)量和品質(zhì)。此前其團(tuán)隊(duì)已在大田糧食作物生產(chǎn)中的氮肥管理領(lǐng)域有成功經(jīng)驗(yàn)。

“采用新技術(shù)的種植策略,肥料利用率可達(dá)到50%以上?!蹦哕姳硎?,經(jīng)過(guò)實(shí)地測(cè)算,畝省水70%、省肥50%左右,相當(dāng)于每畝地節(jié)約了350元,而且還能省下400元的勞動(dòng)成本。

“前端技術(shù)進(jìn)步的一小步,可能會(huì)解決小農(nóng)經(jīng)營(yíng)主體的眾多難題,并帶來(lái)更加穩(wěn)定的農(nóng)產(chǎn)品供應(yīng)鏈。”拼多多副總裁陳秋說(shuō),希望通過(guò)這次比賽將新一代人工智能技術(shù)與農(nóng)事生產(chǎn)結(jié)合,為中國(guó)眾多的農(nóng)產(chǎn)品產(chǎn)業(yè)帶和小農(nóng)戶提供一種更低成本、易于操作的數(shù)字農(nóng)業(yè)生產(chǎn)管理方法,并幫助他們獲益。

今年55歲的紀(jì)榮喜也認(rèn)為,農(nóng)業(yè)生產(chǎn)中的人工智能應(yīng)用是必然趨勢(shì)。他在鎮(zhèn)江的實(shí)驗(yàn)大棚里已用上了補(bǔ)光、補(bǔ)溫、溫濕度傳感器以及水肥一體化設(shè)備?!拔?0歲可能就不種草莓了,將來(lái)誰(shuí)來(lái)種?怎么種?這是個(gè)亟待解決的問(wèn)題,如果人工智能能學(xué)習(xí)到幾十年的種植經(jīng)驗(yàn),那是最好不過(guò)?!?/p>

目前,“人機(jī)大戰(zhàn)”的序幕已經(jīng)開(kāi)啟,120天后,草莓種植到底哪家強(qiáng)?讓我們拭目以待。

人工智能如何應(yīng)用于農(nóng)業(yè)? 趙春江院士:分五步

人工智能如何應(yīng)用于農(nóng)業(yè)? 趙春江院士:分五步

資料圖

“農(nóng)業(yè)人工智能技術(shù)可以提高勞動(dòng)生產(chǎn)率、資源利用率和土地產(chǎn)出率,增強(qiáng)農(nóng)業(yè)抗風(fēng)險(xiǎn)能力,保障國(guó)家糧食安全和生態(tài)安全,實(shí)現(xiàn)農(nóng)業(yè)可持續(xù)發(fā)展,促進(jìn)從傳統(tǒng)農(nóng)業(yè)向現(xiàn)代農(nóng)業(yè)的跨越?!敝袊?guó)工程院院士羅錫文說(shuō)。

近日,2019年花城科技論壇暨農(nóng)業(yè)人工智能峰會(huì)在廣州舉行。與會(huì)院士、專(zhuān)家聚焦農(nóng)業(yè)人工智能話題,共同探討未來(lái)智慧農(nóng)業(yè)科技創(chuàng)新所面臨的機(jī)遇與挑戰(zhàn)。

人工智能如何在現(xiàn)代農(nóng)業(yè)領(lǐng)域中大有作為?“中國(guó)人工智能2030年要占領(lǐng)世界高地,智能農(nóng)機(jī)舉足輕重,自動(dòng)駕駛農(nóng)機(jī)將成為智慧農(nóng)業(yè)的重要組成部分?!敝袊?guó)工程院院士李德毅呼吁政府出臺(tái)優(yōu)先發(fā)展拖拉機(jī)自動(dòng)駕駛的政策。

中國(guó)工程院院士汪懋華指出,智慧農(nóng)業(yè)中長(zhǎng)期發(fā)展戰(zhàn)略研究應(yīng)該從智慧大田種植業(yè)、智慧設(shè)施農(nóng)業(yè)、智慧農(nóng)產(chǎn)品產(chǎn)后處理與精深加工等方面入手,要注意AI農(nóng)業(yè)應(yīng)用創(chuàng)新發(fā)展的冷思考。他認(rèn)為,“人工智能總體發(fā)展處于初級(jí)階段,要苦練基本功,研究行業(yè)具有類(lèi)人智能的核心機(jī)器,推進(jìn)AI農(nóng)業(yè)領(lǐng)域產(chǎn)業(yè)應(yīng)用研究”。

中國(guó)工程院院士唐華俊表示,智慧農(nóng)業(yè)是數(shù)字中國(guó)建設(shè)的重要內(nèi)容。加快發(fā)展智慧農(nóng)業(yè),推進(jìn)農(nóng)業(yè)、農(nóng)村全方位全過(guò)程的數(shù)字化、網(wǎng)絡(luò)化、智能化改造,將有利于促進(jìn)生產(chǎn)節(jié)約、要素優(yōu)化配置、供求交對(duì)接、治理精準(zhǔn)高效,有利于推動(dòng)農(nóng)業(yè)農(nóng)村發(fā)展的質(zhì)量變革、效率變革和動(dòng)力變革,更好服務(wù)于我國(guó)鄉(xiāng)村振興戰(zhàn)略和農(nóng)業(yè)農(nóng)村現(xiàn)代化發(fā)展。

人工智能農(nóng)業(yè)應(yīng)用如何走?中國(guó)工程院院士趙春江給出的答案是分五步走。具體包括:突破智能農(nóng)業(yè)應(yīng)用的理論、方法和共性關(guān)鍵技術(shù);制一批農(nóng)業(yè)智能感知、智能控制、自主作業(yè)、智能服務(wù)等智能農(nóng)業(yè)重大技術(shù)產(chǎn)品;開(kāi)展農(nóng)業(yè)智能生產(chǎn)和農(nóng)業(yè)知識(shí)服務(wù)應(yīng)用示范;變革傳統(tǒng)農(nóng)業(yè)生產(chǎn)方式,提升現(xiàn)代農(nóng)業(yè)水平;培育農(nóng)業(yè)軟硬件、系統(tǒng)集成、農(nóng)產(chǎn)品追溯和智能信息服務(wù)等產(chǎn)業(yè)。

人工智能將顛覆傳統(tǒng)農(nóng)業(yè),你準(zhǔn)備好了嗎(中英雙語(yǔ))

人工智能將顛覆傳統(tǒng)農(nóng)業(yè),你準(zhǔn)備好了嗎(中英雙語(yǔ))

人工智能正在顛覆農(nóng)業(yè)領(lǐng)域。這并不是夸大其詞,我們所熟知的農(nóng)業(yè)正在被重新定義。一聽(tīng)到農(nóng)業(yè),大部分人腦海里浮現(xiàn)的是這樣的場(chǎng)景:隔壁農(nóng)民老王穿著工作服開(kāi)著他的拖拉機(jī)在廣袤的田地上突突地轉(zhuǎn)圈。但是,這種場(chǎng)景我們的孫子輩可能看不到了。

Artificial intelligence is disrupting agriculture. This is not an exaggeration, and the agriculture as we know it is being redefined. Hearing agriculture, most people think of a scene where Lao Wang, a farmer next door, drives his tractor around a vast field. But it may not be seen to our grandchildren.

過(guò)去十年里,室內(nèi)種植技術(shù)取得長(zhǎng)足進(jìn)展,室內(nèi)農(nóng)業(yè)的發(fā)展前景越加清晰可見(jiàn),它正變得越來(lái)越受歡迎。之所以會(huì)產(chǎn)生在室內(nèi)進(jìn)行耕作這種想法,最主要的原因就是想要加強(qiáng)控制。

In the past decade, indoor planting technology has made great progress, and the future of indoor agriculture is more visible, it is becoming more and more popular. The main reason for the idea of farming indoors is to strengthen control.

通過(guò)室內(nèi)農(nóng)業(yè),農(nóng)作物的生長(zhǎng)環(huán)境可以得到充分的掌握。只要有錢(qián),任何因素都可以控制:光線、溫度、二氧化碳濃度、肥料、水、通風(fēng)等等。這種控制會(huì)帶來(lái)顯而易見(jiàn)的好處,比如農(nóng)作物產(chǎn)量提升、成熟速度加快、耗水量減少,凡此種種在一小塊土地上就都可以實(shí)現(xiàn)了。

Through indoor agriculture, the growth environment of crops can be fully grasped. As long as there is money, any factor can be controlled: light, temperature, carbon dioxide concentration, fertilizer, water, ventilation and so on. Such controls can bring obvious benefits, such as higher crop yields, faster ripening, and less water consumption, which can be achieved on a small piece of land.

人工智能如何振興農(nóng)業(yè)?

How does AI revitalize agriculture?

人工智能通過(guò)利用實(shí)時(shí)數(shù)據(jù),采用一系列方法優(yōu)化農(nóng)作物生長(zhǎng),以此改良農(nóng)業(yè)。如前所述,室內(nèi)農(nóng)業(yè)可以通過(guò)監(jiān)測(cè)各種因素來(lái)掌控農(nóng)作物的生長(zhǎng)環(huán)境。

Artificial intelligence improves agriculture by using real-time data and using a series of methods to optimize crop growth. As mentioned earlier, indoor agriculture can control the growth environment of crops by monitoring various factors.

舉個(gè)例子,Bowery Farming公司測(cè)量了一系列數(shù)據(jù),包括“光譜、光周期(晝/夜循環(huán))、光照度、灌溉計(jì)劃、肥料、通風(fēng)、溫度、濕度以及二氧化碳濃度”。接著,他們通過(guò)機(jī)器學(xué)習(xí)算法對(duì)這些數(shù)據(jù)進(jìn)行處理,制定出合理的干預(yù)程序。

For example, Bowery Farming measured a range of data, including "spectrum, photoperiod (day / night cycle), illumination, irrigation plans, fertilizer, ventilation, temperature, humidity, and carbon dioxide concentration."Next, they processed the data through machine learning algorithms to develop reasonable intervention procedures.

通過(guò)反復(fù)實(shí)踐和訓(xùn)練,當(dāng)控制系統(tǒng)儲(chǔ)存了足夠多的數(shù)據(jù)庫(kù),就會(huì)變得比人類(lèi)還“聰明”。該系統(tǒng)能夠通過(guò)葉子的顏色來(lái)檢測(cè)植物的健康狀況。一旦識(shí)別出問(wèn)題,就會(huì)立即開(kāi)始應(yīng)對(duì)。這里具體的問(wèn)題是什么不是很清楚,但可以先假設(shè)問(wèn)題在于缺乏光照。那么,人工智能就會(huì)增加這盤(pán)芝麻菜的光照時(shí)長(zhǎng)。請(qǐng)注意這里的說(shuō)法,增加的是特定的某一盤(pán)作物的光照時(shí)長(zhǎng)。沒(méi)錯(cuò),人工智能可以做到對(duì)每一株作物和每一托盤(pán)植株進(jìn)行個(gè)性化照料。

Through repeated practice and training, when the control system stores enough databases, it becomes "smarter" than humans. The system is able to detect plant health by the color of the leaves. Once a problem is identified, the response begins immediately. What is the specific problem here is not very clear, but one can first assume that the problem is the lack of light exposure. AI, then, will increase the light duration of this arugula. Note the statement here that the addition is the length of light for a particular crop. Yes, AI can personalize the care of every crop and every pallet.

這真的太神奇了。實(shí)際上,我們可以實(shí)現(xiàn)將數(shù)千種作物種植在同一片土地上,并且同時(shí)分別給予特殊照顧,使得每一種作物都能夠蓬勃生長(zhǎng)。

This is really amazing. In fact, we can grow thousands of crops on the same land, and give them special care separately at the same time, so that each crop can flourish.

實(shí)現(xiàn)這樣的操作依靠的是人工智能的一個(gè)技術(shù)分支——機(jī)器學(xué)習(xí)。室內(nèi)農(nóng)業(yè)的大機(jī)器從每個(gè)種植周期中收集大量的測(cè)量數(shù)據(jù)。然后,機(jī)器學(xué)習(xí)算法對(duì)這些數(shù)據(jù)進(jìn)行處理,從中學(xué)習(xí)以實(shí)現(xiàn)下一個(gè)生長(zhǎng)周期的優(yōu)秀優(yōu)化。每一次種下一株植物時(shí),一次生長(zhǎng)流程追蹤就開(kāi)始了。

Such an operation depends on —— machine learning, a technical branch of artificial intelligence. Large machines for indoor agriculture collect large amounts of measurements from each planting cycle. Machine learning algorithms then process these data, learning from it to achieve excellent optimization for the next growth cycle. Each time a plant is planted, a growth process trace begins.

最終,這些記錄匯總成種植某種作物的一份“秘方”。這張秘方之后可以用于該種作物的種植,勾畫(huà)出合理的生長(zhǎng)軌跡,以實(shí)現(xiàn)優(yōu)秀的收成。

Eventually, the records are aggregated into a "secret recipe" for growing a certain crop. This secret recipe can then be used to grow the crop, sketching out a reasonable growth trajectory to achieve a good harvest.

有了這些數(shù)據(jù),我們不僅可以知道種植一株植物的用水量,還可以知道何時(shí)澆水合適。其他指標(biāo)也是同樣的道理。這些就夠讓人興奮,但它能做到的還遠(yuǎn)遠(yuǎn)不止這些!

With these data, we can not only know how much water is used to grow a plant, but also when to water it properly. The same goes for other indicators. That's exciting enough, but it's much more than that!

這些秘方會(huì)不斷進(jìn)行自我完善,以高效的方式使每種作物達(dá)到最優(yōu)風(fēng)味。通過(guò)對(duì)生長(zhǎng)過(guò)程中的每一個(gè)因素做出細(xì)微的調(diào)整,從而找到合適的生長(zhǎng)模式。甚至針對(duì)同一種作物的每一個(gè)托盤(pán),其具體影響因子也可以調(diào)整。也就是說(shuō),生產(chǎn)一旦開(kāi)始,成千上萬(wàn)場(chǎng)提高產(chǎn)量的試驗(yàn)也就開(kāi)始了。而最妙的地方是,這些實(shí)驗(yàn)不會(huì)帶來(lái)額外的生產(chǎn)成本。

These secret recipes will continue to improve themselves to achieve the optimal flavor of each crop in an efficient way. Find the appropriate growth pattern by making subtle adjustments to each factor in the growth process. Even for each tray of the same crop, the specific impact factor can be adjusted. In other words, once production begins, thousands of thousands of trials to increase production will begin. The best part is that these experiments bring in no additional production costs.

最后,當(dāng)作物到了豐收的時(shí)候,完成所有種植并進(jìn)行科學(xué)測(cè)驗(yàn)的這套系統(tǒng)也會(huì)通知工作人員,告訴他們哪些托盤(pán)的作物應(yīng)該收割了。從種植到收割,人工智能改良了整個(gè)農(nóng)業(yè)生產(chǎn)流程。人工智能為室內(nèi)農(nóng)業(yè)提供了一套自動(dòng)化管理系統(tǒng),有了這套系統(tǒng),種植越多,了解就越深入。

Finally, when the crop reaches a good harvest, the system, which completes all the planting and conducts scientific tests, also informs the staff about which trays of crops should be harvested. From planting to harvesting, AI improves the entire agricultural production process. Artificial intelligence provides an automated management system for indoor agriculture, with which the more you plant, the deeper you understand.

未來(lái)的影響

Impact of the future

現(xiàn)在,人工智能對(duì)室內(nèi)農(nóng)業(yè)的影響在商業(yè)和消費(fèi)領(lǐng)域已經(jīng)顯現(xiàn)出來(lái)了。大部分室內(nèi)農(nóng)業(yè)公司的背后都有大型企業(yè)的支撐。

Now, the impact of AI on indoor agriculture is already visible in both the commercial and consumer areas. Most indoor agricultural companies are backed by large enterprises.

為了實(shí)現(xiàn)在最短的時(shí)間內(nèi)將食品送上門(mén),公司需要配套相應(yīng)的基礎(chǔ)設(shè)施。室內(nèi)農(nóng)業(yè)就提供了這樣的基礎(chǔ)設(shè)施,可以實(shí)現(xiàn)在任何地點(diǎn)耕作,并且在最短時(shí)間內(nèi)產(chǎn)出。實(shí)現(xiàn)室內(nèi)農(nóng)業(yè)的戰(zhàn)略性選址,就可以打破運(yùn)輸帶來(lái)的瓶頸,同時(shí)提高產(chǎn)品新鮮度。

In order to deliver the food to the door in the shortest possible time, the company needs to support the corresponding infrastructure. Indoor agriculture provides such infrastructure that can be cultivated in any place and produced in the shortest time. Realizing the strategic site selection of indoor agriculture can break the bottleneck brought by transportation and improve the freshness of products.

此外,消費(fèi)者對(duì)有機(jī)食物的需求是一個(gè)商機(jī)。室內(nèi)農(nóng)業(yè)就是有機(jī)的,生長(zhǎng)環(huán)境得到控制,也就不需要農(nóng)藥了。

In addition, consumer demand for organic food is a business opportunity. Indoor agriculture is organic, the growth environment is controlled, also do not need pesticides.

一些公司正致力于將有機(jī)農(nóng)業(yè)帶到消費(fèi)者家中。Seedo就是這樣一家公司。他們有一種小型的設(shè)備,長(zhǎng)得像一個(gè)迷你冰箱,可以種植任何東西。這個(gè)設(shè)備帶有一個(gè)集成式應(yīng)用程序,只要輸入正在種植的作物類(lèi)型,剩下的就都可以交給設(shè)備了。它會(huì)在可以收獲的時(shí)候發(fā)出提醒,也可以通過(guò)內(nèi)置攝像機(jī),實(shí)現(xiàn)對(duì)作物隨時(shí)隨地的監(jiān)測(cè)。

Some companies are working on bringing organic farming to consumers' homes. Seedo is one such company. They have a small device that looks like a mini refrigerator and can plant anything. The device comes with an integrated application, leaving the rest of the type of crop being planted. It reminds them when they can be harvested, or it can use built-in cameras to monitor crops anytime, anywhere.

諸如此類(lèi)的創(chuàng)新可能會(huì)就此改變我們的生活,人工智能和室內(nèi)農(nóng)業(yè)在解決糧食短缺問(wèn)題乃至將糧食帶到發(fā)展中國(guó)家等方面起到至關(guān)重要的作用。盡管這些地區(qū)的限制主要在于能源消耗和基礎(chǔ)設(shè)施,但是低成本的溫室水培作業(yè)同樣可以解決問(wèn)題,可以借助先進(jìn)人工智能預(yù)先安裝的樹(shù)莓派(raspberry pi)。

Such innovations as this could change our lives, and AI and indoor agriculture could play a crucial role in addressing food shortages and even bringing food to developing countries. Although the limitations in these areas are mainly energy consumption and infrastructure, low-cost greenhouse hydroponic operations can also solve the problem, with advanced AI pre-installed Raspberry PI (raspberry pi).

布雷特·布萊恩說(shuō):“農(nóng)業(yè)是希望之業(yè)?!边@句話原本的含義是在形容傳統(tǒng)的種植過(guò)程中,種下種子企盼一年好收成的情形。筆者認(rèn)為,人工智能和室內(nèi)農(nóng)業(yè)也可以被視為希望之業(yè)。農(nóng)業(yè)與技術(shù)的新結(jié)合讓我感到滿懷希望,希望有一天每個(gè)人都能獲得穩(wěn)定持續(xù)的食物來(lái)源。

Brett Bryan said: " Agriculture is a business of hope."The original meaning is to describe the traditional process of planting, seeds planted for a good harvest. The author thinks that artificial intelligence and indoor agriculture can also be regarded as the hope industry. The new combination of agriculture and technology makes me feel hopeful that one day everyone will get a steady and continuous food source.

新農(nóng)人需要更多的知識(shí),掌握AI相關(guān)應(yīng)用技術(shù)是第一要?jiǎng)?wù),否則我們將沒(méi)有“資格”作新農(nóng)人

New farmers need more knowledge, and mastering AI-related application technology is the first priority, otherwise we will not be "qualified" to be new farmers

2022年7月,農(nóng)業(yè)農(nóng)村部辦公廳、國(guó)家鄉(xiāng)村振興局綜合司、國(guó)家開(kāi)發(fā)銀行辦公室、中國(guó)農(nóng)業(yè)發(fā)展銀行辦公室發(fā)布《關(guān)于推進(jìn)政策性開(kāi)發(fā)性金融支持農(nóng)業(yè)農(nóng)村基礎(chǔ)設(shè)施建設(shè)的通知》,提出政策性、開(kāi)發(fā)性金融機(jī)構(gòu)要在符合國(guó)家法規(guī)和信貸政策的前提下,優(yōu)先安排信貸規(guī)模,為農(nóng)業(yè)農(nóng)村基礎(chǔ)設(shè)施項(xiàng)目提供更多長(zhǎng)周期、低成本貸款。在該文件中明確的七大重點(diǎn)領(lǐng)域中,現(xiàn)代設(shè)施農(nóng)業(yè)占據(jù)一席之地。

In July 2022, agricultural NongCunBu general office, the office of the bureau, China development bank office of the policy developmental financial support agricultural rural infrastructure construction notice, put forward policy, developmental financial institutions should be in accordance with the premise of national regulations and credit policy, priority arrangement credit scale, for agricultural rural infrastructure projects to provide more long cycle, low-cost loans. Among the seven key areas identified in the document, modern facilityculture occupies a place.

2023年3月,農(nóng)業(yè)農(nóng)村部辦公廳、中國(guó)農(nóng)業(yè)銀行辦公室印發(fā)《金融助力畜牧業(yè)高質(zhì)量發(fā)展工作方案》,提出支持發(fā)展設(shè)施化規(guī)模化養(yǎng)殖,加大對(duì)畜禽規(guī)模養(yǎng)殖場(chǎng)中長(zhǎng)期貸款、固定資產(chǎn)貸款等支持力度;大力拓寬抵質(zhì)押品范圍,將土地經(jīng)營(yíng)權(quán)、養(yǎng)殖圈舍、大型養(yǎng)殖機(jī)械、畜禽活體納入可接受押品范圍。

Agriculture and Rural Affairs and the Office of the Agricultural Bank of China issued the Work Plan for Finance for High-quality Development of Animal Husbandry, proposing to support the development of large-scale breeding and increase the support for medium and long-term loans and fixed asset loans for livestock and poultry farms; greatly expand the scope of collateral, and include land management rights, breeding housing, large-scale breeding machinery and live livestock and poultry into the scope of acceptable collateral.

從各地的實(shí)踐來(lái)看,多家銀行機(jī)構(gòu)推出了“大棚貸”“農(nóng)機(jī)貸”等信貸產(chǎn)品,有效解決農(nóng)戶發(fā)展設(shè)施農(nóng)業(yè)的資金問(wèn)題;非銀金融機(jī)構(gòu)利用融資租賃等模式,服務(wù)大型農(nóng)機(jī)銷(xiāo)售、租賃企業(yè),在支持機(jī)械化方面發(fā)揮了重要作用。針對(duì)農(nóng)業(yè)科技研發(fā)和成果轉(zhuǎn)化,各地利用知識(shí)產(chǎn)權(quán)質(zhì)押貸款、政府引導(dǎo)基金、風(fēng)險(xiǎn)共擔(dān)機(jī)制,有效拓寬金融服務(wù)渠道,增強(qiáng)金融機(jī)構(gòu)的工作主動(dòng)性和積極性。

launched credit products such as "greenhouse loan" and "agricultural machinery loan" to effectively solve the capital problem of farmers to develop facility agriculture; non-bank financial institutions serve large agricultural machinery sales and leasing enterprises, and play an important role in supporting mechanization. In view of the research and development of agricultural science and technology and the transformation of achievements, local governments have made use of intellectual property pledge loans, government guidance funds and risk-sharing mechanisms toeffectively expand financial service channels and enhance the work initiative and enthusiasm of financial institutions.

據(jù)估算,未來(lái)5到10年,僅高標(biāo)準(zhǔn)農(nóng)田、設(shè)施農(nóng)業(yè)等投資需求有近15萬(wàn)億元,但現(xiàn)有金融產(chǎn)品在針對(duì)性和多樣性方面還有短板。面對(duì)不斷增加的資金需求,如何創(chuàng)新金融產(chǎn)品和服務(wù)、助力設(shè)施農(nóng)業(yè)由機(jī)械化向數(shù)智化轉(zhuǎn)軌,仍需金融機(jī)構(gòu)更進(jìn)一步探索。

It is estimated that in the next five to 10 years, only the investment demand for high-standard farmland and facility agriculture will reach nearly 15 trillion yuan, but the existing financial products still have shortcomings in terms of pertinence and diversity. In the face of the increasing demand for funds, financial institutions still need to further explore how to innovate financial products and services and help the transformation of facility agriculture from mechanization to digital intelligence.

智能農(nóng)業(yè)將是一個(gè)知識(shí)密集型產(chǎn)業(yè),對(duì)從業(yè)者的要求很高。這種情況下的新農(nóng)人,僅有農(nóng)業(yè)相關(guān)專(zhuān)業(yè)知識(shí)顯然是不夠的;必須要同時(shí)掌握“植物工廠”技術(shù),與商超對(duì)接……。種田會(huì)變得很輕松,但對(duì)知識(shí)的要求也會(huì)很高;種田的職業(yè)讓人羨慕,但僅有“十年寒窗”苦讀顯然不夠;如果有志成為這樣的新農(nóng)人,應(yīng)該現(xiàn)在就努力!為實(shí)現(xiàn)目標(biāo),加油吧!!

Smart agriculture will be a knowledge-intensive industry, with high requirements for practitioners. In this case, new farmers are not enough for agriculture; they must simultaneously master "plant factory" technology and connect with the supermarket..... Farming will become very easy, but the requirement for knowledge will be high, but only "ten years cold window" hard study is not enough; if aspiring to become such a new farmer, should work hard now! To achieve the goal, come on!!

標(biāo)簽:in   the   農(nóng)業(yè)   and   me

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