AI+物聯網驅動農業全周期智慧管理

在科技日新月異的今天，農(nong)(nong)(nong)業(ye)(ye)領域也迎來了AI前沿技術(shu)深度融合與(yu)創(chuang)新的浪潮(chao)。作為(wei)(wei)深耕農(nong)(nong)(nong)業(ye)(ye)數(shu)(shu)智化領域的先鋒主(zhu)力，環球(qiu)軟(ruan)件(jian)積極探索AI人(ren)工智能、物聯(lian)網技術(shu)在智慧(hui)農(nong)(nong)(nong)業(ye)(ye)場(chang)景下的應用(yong)。聯(lian)合南京理工大學(xue)任明武教(jiao)授(shou)團隊，環球(qiu)軟(ruan)件(jian)依(yi)托(tuo)自主(zhu)研發的“數(shu)(shu)字農(nong)(nong)(nong)場(chang)”平臺，將DeepSeek等(deng)開源(yuan)多模(mo)(mo)態(tai)AI模(mo)(mo)型與(yu)物聯(lian)網技術(shu)深度融合，為(wei)(wei)蔬(shu)菜種植全生命周(zhou)期打造(zao)了專(zhuan)屬的智慧(hui)農(nong)(nong)(nong)業(ye)(ye)大模(mo)(mo)型。這(zhe)一創(chuang)新舉措，如同為(wei)(wei)農(nong)(nong)(nong)業(ye)(ye)生產(chan)安裝(zhuang)了一個(ge)“AI大腦(nao)”，與(yu)物聯(lian)網的“神經脈(mo)絡”緊密相連，為(wei)(wei)新農(nong)(nong)(nong)人(ren)、農(nong)(nong)(nong)場(chang)主(zhu)和農(nong)(nong)(nong)業(ye)(ye)企業(ye)(ye)提(ti)供精(jing)準、高效的決(jue)策(ce)支持。

“數字農場”平臺通過接入DeepSeek系列AI大模型，集成了(le)(le)農技知(zhi)識(shi)圖譜、多(duo)模態病蟲害、知(zhi)識(shi)庫構建(jian)、智能問(wen)答、精準(zhun)(zhun)決策支持(chi)等核心板塊，構建(jian)了(le)(le)“感知(zhi)-分(fen)析(xi)-決策-執行”的(de)閉環(huan)體系，為農業(ye)生(sheng)產提供了(le)(le)精準(zhun)(zhun)種植決策支持(chi)、高效生(sheng)產種植管理、綠色防控與病蟲害識(shi)別、數據回溯與種植策略優化(hua)四(si)大核心場景(jing)的(de)創新(xin)應用。

其中(zhong)，生(sheng)(sheng)產(chan)種(zhong)(zhong)植(zhi)和生(sheng)(sheng)長預測尤為(wei)引(yin)人(ren)(ren)注目。針對(dui)許多(duo)(duo)農(nong)(nong)戶面臨的(de)(de)“種(zhong)(zhong)什么、怎么種(zhong)(zhong)、如(ru)何管(guan)(guan)理(li)”等(deng)難題，基于AI“數(shu)字農(nong)(nong)場”平(ping)臺(tai)集成(cheng)全(quan)國蔬(shu)菜質量(liang)標(biao)準(zhun)(zhun)中(zhong)心構(gou)建的(de)(de)蔬(shu)菜標(biao)準(zhun)(zhun)種(zhong)(zhong)植(zhi)模(mo)型(xing)(xing)，結合(he)當地氣象、土壤養分、作(zuo)(zuo)物(wu)品種(zhong)(zhong)、歷史產(chan)量(liang)和價格(ge)行情等(deng)多(duo)(duo)維度信息，自(zi)動(dong)生(sheng)(sheng)成(cheng)定(ding)制(zhi)(zhi)化(hua)的(de)(de)種(zhong)(zhong)植(zhi)計(ji)劃。平(ping)臺(tai)同(tong)時融合(he)智(zhi)能(neng)合(he)約(yue)跨界融合(he)水肥(fei)(fei)一體化(hua)技術(shu)、植(zhi)保(bao)技術(shu)、種(zhong)(zhong)植(zhi)技術(shu)，更是為(wei)不同(tong)農(nong)(nong)作(zuo)(zuo)物(wu)量(liang)身定(ding)制(zhi)(zhi)生(sheng)(sheng)長路(lu)徑，農(nong)(nong)戶只需按照計(ji)劃進行種(zhong)(zhong)植(zhi)和管(guan)(guan)理(li)，就能(neng)實(shi)現(xian)農(nong)(nong)作(zuo)(zuo)物(wu)的(de)(de)最(zui)優生(sheng)(sheng)長和最(zui)大產(chan)量(liang)。以五彩(cai)椒為(wei)先鋒，兼顧番茄等(deng)作(zuo)(zuo)物(wu)，從定(ding)植(zhi)期的(de)(de)播(bo)種(zhong)(zhong)時間、品種(zhong)(zhong)選擇(ze)、農(nong)(nong)藝管(guan)(guan)理(li)要求、水肥(fei)(fei)配比策略、植(zhi)保(bao)方案到采收期全(quan)程護航，實(shi)現(xian)病蟲害防治(zhi)智(zhi)能(neng)化(hua)、水肥(fei)(fei)農(nong)(nong)事操作(zuo)(zuo)無人(ren)(ren)化(hua)、少人(ren)(ren)化(hua)精(jing)準(zhun)(zhun)作(zuo)(zuo)業。目前，在已建立(li)藍莓、口感西紅柿(shi)標(biao)準(zhun)(zhun)種(zhong)(zhong)植(zhi)模(mo)型(xing)(xing)基礎(chu)上，深挖“AI農(nong)(nong)業大腦+標(biao)準(zhun)(zhun)化(hua)種(zhong)(zhong)植(zhi)模(mo)型(xing)(xing)”的(de)(de)數(shu)字農(nong)(nong)場模(mo)式，深化(hua)大模(mo)型(xing)(xing)訓練，由經驗種(zhong)(zhong)植(zhi)升級為(wei)數(shu)據驅動(dong)的(de)(de)智(zhi)慧(hui)種(zhong)(zhong)植(zhi)。

在園區種植(zhi)管理上，“數字(zi)農(nong)場(chang)(chang)”平臺利用(yong)(yong)物(wu)聯網技術實(shi)時(shi)采集田間(jian)(jian)數據，包括氣象、土壤(rang)墑情、蟲(chong)情和(he)作物(wu)長勢(shi)等，讓農(nong)民與“數字(zi)農(nong)場(chang)(chang)”平臺“無障(zhang)礙溝通”，結合(he)田間(jian)(jian)長勢(shi)監測圖片(pian)(pian)和(he)用(yong)(yong)戶(hu)(hu)手(shou)機(ji)拍照上傳農(nong)作物(wu)葉片(pian)(pian)、果(guo)實(shi)圖片(pian)(pian)，通過數字(zi)農(nong)場(chang)(chang)APP上傳，這些數據通過云端處理和(he)分析，結合(he)Deepseek系(xi)列(lie)AI大(da)模型的強大(da)算(suan)(suan)力(li)與精準算(suan)(suan)法，為(wei)農(nong)作物(wu)生(sheng)成實(shi)時(shi)的“健康狀(zhuang)態報告”。農(nong)戶(hu)(hu)通過數字(zi)農(nong)場(chang)(chang)手(shou)機(ji)APP隨時(shi)查(cha)看(kan)作物(wu)的生(sheng)長環境和(he)健康狀(zhuang)況(kuang)，及時(shi)采取(qu)防(fang)(fang)治措施。ＡＩ模型可識(shi)別100余(yu)種常見蟲(chong)害(hai)，準確率超90%，并自(zi)動標記(ji)蟲(chong)害(hai)分布熱力(li)圖，解決農(nong)戶(hu)(hu)不清楚(chu)“是什么(me)病蟲(chong)害(hai)、如(ru)何(he)防(fang)(fang)治”等問題，基于蟲(chong)害(hai)類型與密(mi)度，生(sheng)成靶向施藥(yao)方(fang)案(an)，減少(shao)農(nong)藥(yao)使用(yong)(yong)量(liang)達30%，實(shi)現(xian)病蟲(chong)害(hai)“早發(fa)現(xian)、早防(fang)(fang)控”。把傳統(tong)農(nong)業“四情數據”轉變為(wei)“農(nong)技信息和(he)知識(shi)”，讓種植(zhi)戶(hu)(hu)“看(kan)得(de)(de)懂(dong)，看(kan)得(de)(de)明白”。

在(zai)病(bing)蟲(chong)害(hai)識別(bie)與防(fang)(fang)治方面，“數字農(nong)(nong)(nong)場”平(ping)臺(tai)(tai)同樣表現出色(se)。通過圖(tu)(tu)像(xiang)語(yu)義的(de)(de)農(nong)(nong)(nong)作物病(bing)蟲(chong)害(hai)多模態知識圖(tu)(tu)譜(pu)，平(ping)臺(tai)(tai)能(neng)夠精準(zhun)判別(bie)病(bing)蟲(chong)害(hai)類型，并即時生成針對性的(de)(de)防(fang)(fang)治策(ce)略(lve)。農(nong)(nong)(nong)民(min)朋友不再需(xu)要(yao)憑借肉眼和(he)有限(xian)經驗去揣測病(bing)蟲(chong)害(hai)風險，農(nong)(nong)(nong)戶(hu)只需(xu)上(shang)傳作物葉片或果(guo)實(shi)的(de)(de)圖(tu)(tu)片，就能(neng)獲得詳細的(de)(de)病(bing)蟲(chong)害(hai)信息(xi)和(he)防(fang)(fang)治建議。這一功能(neng)不僅提高了病(bing)蟲(chong)害(hai)識別(bie)的(de)(de)準(zhun)確(que)率，還(huan)大大減(jian)少了農(nong)(nong)(nong)藥的(de)(de)使用(yong)量，實(shi)現了綠色(se)防(fang)(fang)控(kong)。同時，平(ping)臺(tai)(tai)還(huan)能(neng)對高溫、干旱、霜凍等災(zai)害(hai)天氣進行預(yu)警和(he)信息(xi)推送，幫助農(nong)(nong)(nong)戶(hu)提前采(cai)取預(yu)防(fang)(fang)措施，減(jian)少損失(shi)。

值得一提(ti)的(de)(de)是，“數字農(nong)場”平臺的(de)(de)數據回(hui)溯和(he)分析功能也備(bei)受(shou)農(nong)戶青睞。農(nong)戶可以(yi)回(hui)溯過往的(de)(de)種植(zhi)數據，總結(jie)經驗教(jiao)訓，持(chi)續優化種植(zhi)策略。這些(xie)數據還可以(yi)為未來(lai)的(de)(de)種植(zhi)計(ji)劃(hua)提(ti)供(gong)科學(xue)依據，幫助農(nong)戶制(zhi)定更加科學(xue)合(he)理的(de)(de)生產(chan)種植(zhi)計(ji)劃(hua)。這一功能不(bu)僅提(ti)高了農(nong)業(ye)生產(chan)的(de)(de)智能化水平，還促進(jin)了農(nong)業(ye)的(de)(de)可持(chi)續發展。

環(huan)球軟件以AI+物聯網為驅(qu)動，為農(nong)(nong)業注入(ru)了新的(de)(de)活力。農(nong)(nong)民們從(cong)此告別“靠天吃飯、憑經(jing)驗種(zhong)地”的(de)(de)傳統模式，開啟“依(yi)數據科(ke)學精準種(zhong)植(zhi)(zhi)”的(de)(de)全新旅程。“春種(zhong)秋收”每一個環(huan)節都有數據指引，每一次決(jue)策都有智(zhi)能輔助(zhu)，農(nong)(nong)業生產種(zhong)植(zhi)(zhi)的(de)(de)不確定(ding)性大(da)幅降(jiang)低，讓農(nong)(nong)民種(zhong)地變得前所未有的(de)(de)智(zhi)能、高效、輕松。