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        1. 產(chan)品展(zhan)示PRODUCTS

          您(nin)當(dang)前的位置(zhi):首(shou)頁(ye) > 產(chan)品展(zhan)示 > 土(tu)壤(rang) > 土(tu)壤(rang)理(li)化(hua)性(xing)質(zhi) > MSP3土(tu)壤OM-EC-pH勘(kan)查測(ce)繪(hui)系(xi)統
          MSP3土壤(rang)OM-EC-pH勘(kan)查測(ce)繪(hui)系(xi)統
          更(geng)新時間(jian):2025-07-01
          訪問(wen)次(ci)數:3429
          MSP3土(tu)壤OM-EC-pH勘(kan)查測(ce)繪(hui)系(xi)統由VIS-NIR雙波段光譜傳(chuan)感器、土壤(rang)電導(dao)傳(chuan)感器及土壤(rang)pH傳(chuan)感器集成(cheng)於車載式傳(chuan)感器平臺MSP(Mobile Sensor Platform)上,通(tong)過(guo)實(shi)地原(yuan)位測(ce)量土(tu)壤電(dian)導(dao)EC、pH值(zhi)及OM值(zhi),並通(tong)過(guo)GPS定(ding)位和(he)數據處(chu)理測(ce)繪(hui)軟(ruan)件(jian),繪(hui)制(zhi)出土(tu)壤(rang)理化(hua)性(xing)質(zhi)分(fen)布圖(tu),全(quan)面分析(xi)反(fan)映土壤(rang)質(zhi)地(di)、鹽(yan)堿度、PH值(zhi)、持水能(neng)力(li)、陽離子(zi)交(jiao)換能(neng)力(li)、根(gen)系(xi)深度等。可(ke)用於精準(zhun)農(nong)業、土(tu)壤(rang)調查和(he)碳匯農(nong)
          品(pin)牌(pai)其(qi)他品牌(pai)價(jia)格(ge)區(qu)間面議
          儀器種類多(duo)功能(neng)土(tu)壤分(fen)析儀產(chan)地類別進(jin)口

          前言(yan)

          無論(lun)是(shi)土壤研(yan)究(jiu)調查、土地(di)利(li)用規(gui)劃(hua)還(hai)是(shi)農(nong)業生(sheng)產(chan),了(le)解區(qu)域土壤(rang)的理化(hua)特(te)性(xing)背景至關(guan)重要,如土(tu)壤的持水力(li)、有(you)機(ji)物(wu)含量、生(sheng)產(chan)潛力(li)、PH值(zhi)等,傳(chuan)統(tong)的野外(wai)采(cai)樣(yang)實(shi)驗室分析(xi)法費時費力(li),即(ji)使花費大(da)量(liang)人力(li)物(wu)力(li)加(jia)大(da)抽(chou)樣強(qiang)度,也(ye)很(hen)難客觀精(jing)確(que)反(fan)映區(qu)域土壤(rang)理(li)化特(te)性(xing)的時空變異(yi)情況(kuang);而(er)且(qie),盡(jin)管(guan)正常情(qing)況(kuang)下實(shi)驗室分析(xi)比(bi)較精確(que),但(dan)由於不是(shi)原位測(ce)量,從野外(wai)樣(yang)品(pin)采集到實(shi)驗室分析(xi)會(hui)產(chan)生(sheng)壹(yi)些列(lie)的誤差(cha)或(huo)錯(cuo)誤(wu)。如(ru)何快(kuai)速對(dui)原野土(tu)壤(rang)理(li)化特(te)性(xing)進(jin)行(xing)普(pu)查測(ce)繪(hui),在很(hen)多情況下(xia)成(cheng)為(wei)壹個(ge)難(nan)以逾(yu)越的瓶頸(jing)。車載式MSP3土壤(rang)OM-EC-pH勘(kan)查測(ce)繪(hui)系(xi)統可以(yi)快(kuai)速、高(gao)密(mi)度、原位(wei)測(ce)繪(hui)區(qu)域土壤(rang)有(you)機(ji)質(zhi)(SOM或(huo)OM)、土壤(rang)電(dian)導(dao)及土壤(rang)pH值(zhi),使區(qu)域土壤(rang)快(kuai)速精(jing)準(zhun)調查研(yan)究(jiu)、碳(tan)匯農(nong)業及精準(zhun)農(nong)業研(yan)究(jiu)示(shi)範成(cheng)為(wei)現實(shi)。

          MSP3土壤(rang)OM-EC-pH勘(kan)查測(ce)繪(hui)系(xi)統由VIS-NIR雙波段光譜傳(chuan)感器、土壤(rang)電導(dao)傳(chuan)感器及土壤(rang)pH傳(chuan)感器集成(cheng)於車載式傳(chuan)感器平臺MSP(Mobile Sensor Platform)上,通(tong)過(guo)實(shi)地原(yuan)位測(ce)量土(tu)壤電(dian)導(dao)EC、pH值(zhi)及OM值(zhi),並通(tong)過(guo)GPS定(ding)位和(he)數據處(chu)理測(ce)繪(hui)軟(ruan)件(jian),繪(hui)制(zhi)出土(tu)壤(rang)理化(hua)性(xing)質(zhi)分(fen)布圖(tu),全(quan)面分析(xi)反(fan)映土壤(rang)質(zhi)地(di)、鹽(yan)堿度、PH值(zhi)、持水能(neng)力(li)、陽離子(zi)交(jiao)換能(neng)力(li)、根(gen)系(xi)深度等。可(ke)用於精準(zhun)農(nong)業、土(tu)壤(rang)調查和(he)碳匯農(nong)業(土(tu)壤(rang)碳(tan)儲量(liang)估(gu)算)的研(yan)究(jiu)示(shi)範及土地(di)管(guan)理(li)和(he)土地(di)利用(yong)規(gui)劃(hua)等領(ling)域。 

            

          主(zhu)要特(te)點(dian)

          • 標(biao)準(zhun)配置(zhi)可(ke)同(tong)時測(ce)繪(hui)土(tu)壤OM值(zhi)、淺層(ceng)土壤和(he)深層(ceng)土壤雙層(ceng)電導(dao)測(ce)繪(hui)
          • 可根(gen)據需要選配(pei)pH測(ce)繪(hui)模(mo)塊
          • 原野現場測(ce)繪(hui):隨(sui)著機(ji)載系(xi)統在原野前行(xing),即(ji)時獲(huo)取(qu)電導(dao)及地理(li)坐標(biao)(經緯(wei)度),每(mei)公頃(qing)可以測(ce)量120-240個(ge)樣(yang)點(dian)數據
          • 直接(jie)接(jie)觸(chu)法測(ce)量EC,測(ce)量基本不(bu)受周邊(bian)電磁(ci)影響(xiang),也(ye)不需要校準(zhun)。EC與(yu)土壤(rang)質(zhi)地(di)(soil texture)有關(guan),土壤(rang)質(zhi)地(di)反(fan)映土壤(rang)粒徑分(fen)布(沙(sha)土(tu)、粘土和(he)粉土(tu))。
          • 土壤(rang)EC測(ce)繪(hui)可(ke)以快(kuai)速顯(xian)示土壤三維理(li)化(hua)性(xing)質(zhi):表層(ceng)土壤質(zhi)地(di)X、Y向(xiang)變化較大(da),但(dan)在Z向(xiang)(深度)變化不(bu)大(da)的情況(kuang)下,兩(liang)個(ge)深度的EC圖(tu)主(zhu)要反(fan)映的是(shi)土壤質(zhi)地(di)空間變化。在土壤剖(pou)面(Z向(xiang))質(zhi)地(di)變化較大(da)的情況(kuang)下,兩(liang)個(ge)深度的EC圖(tu)有(you)較大(da)差(cha)異(yi),分別反(fan)映了(le)表層(ceng)土和(he)深層(ceng)土的情況(kuang)。
          • VIS-NIR雙波段光譜傳(chuan)感器,可經由Veris數據處(chu)理中(zhong)心(xin)進(jin)行(xing)數據處(chu)理提(ti)供(gong)土(tu)壤(rang)有機(ji)質(zhi)OM值(zhi)
          • VIS-NIR雙波段光譜傳(chuan)感器、EC、PH傳(chuan)感器及數采(cai)等安裝在專(zhuan)門設(she)計(ji)的MSP裝載架上,可由(you)輕型(xing)機(ji)動(dong)車輛帶動(dong),快(kuai)速對(dui)區(qu)域內土壤理化(hua)性(xing)質(zhi)勘(kan)測(ce)繪(hui)圖(tu)。 

           

          上圖(tu)左(zuo)為(wei)中科(ke)院南皮生(sheng)態(tai)農(nong)業試(shi)驗(yan)站(zhan),圖(tu)右為(wei)VERIS 3100車載式土壤(rang)電導(dao)率測(ce)量系(xi)統在該(gai)實(shi)驗站(zhan)樣地內作(zuo)業(ye) 

          技(ji)術指標(biao):

          • OpticMapper雙波段VIS-NIR傳(chuan)感器,原位(wei)測(ce)繪(hui)植物(wu)枯落物(wu)下層(ceng)土壤表層(ceng)光譜反(fan)射
          • 可見(jian)光波長(chang):660nm;近紅外(wai)波長(chang):940nm;光源:LED
          • 光譜(pu)檢測(ce)器:5.76mm光敏二(er)極(ji)管(guan)
          • PH電極(ji):離子(zi)選擇性(xing)電(dian)極(ji)與(yu)銻測(ce)量相(xiang)結合
          • 除通(tong)過(guo)雙波段VIS-NIR光譜傳(chuan)感器高(gao)密(mi)度原位(wei)測(ce)繪(hui)分(fen)析土壤(rang)OM值(zhi)及其(qi)分(fen)布圖(tu)外(wai),可(ke)壹次(ci)同(tong)時測(ce)量繪(hui)制(zhi)EC和(he)PH值(zhi),並可實(shi)時記(ji)錄顯(xian)示測(ce)量數據和(he)分布圖(tu)
          • Garmin 19X GPS
          • 電子(zi)器件(jian):NMEA 4X密封(feng),高(gao)級防(fang)水接(jie)口(kou)
          • 數采(cai):80 pin PIC 微處(chu)理器,1Hz采集(ji)率,SD存(cun)儲卡,背光顯(xian)示(shi)器,電源10-15DC
          • 測(ce)繪(hui)軟(ruan)件(jian)SoilViewer:即(ji)時顯(xian)示PH值(zhi)、EC值(zhi)及光譜(pu)反(fan)射,並將地理位置信息(xi)(經緯(wei)度)及測(ce)量值(zhi)下載到計(ji)算機(ji)上並自(zi)動(dong)制(zhi)作(zuo)二(er)維(wei)分(fen)布圖(tu)(光(guang)譜(pu)反(fan)射需經由Veris數據處(chu)理中(zhong)心(xin)進(jin)行(xing)處(chu)理分(fen)析(xi)形(xing)成(cheng)SOM值(zhi))
          • PH值(zhi)采樣深度6-12cm可調,每(mei)公頃(qing)采樣5-15個(ge)點(dian)(與(yu)運(yun)行(xing)速(su)度有關(guan))
          • 雙層(ceng)EC測(ce)繪(hui),可(ke)形(xing)成(cheng)0-45cm的表層(ceng)土壤電導(dao)測(ce)繪(hui)圖(tu)和(he)深度為(wei)0-91cm土壤(rang)剖面電導(dao)測(ce)繪(hui)圖(tu)
          • OM測(ce)量深度:38-76mm
          • 拖(tuo)掛型(xing)(適於小型拖(tuo)拉機(ji))尺(chi)寸(cun):寬(kuan) 229cm,長(chang) 396cm,高(gao) 152cm,重635kg
          • 運(yun)載車輛小馬力(li):30hp(因地形(xing)、速(su)度和(he)土壤(rang)質(zhi)地(di)不同(tong)而(er)有所變化)
          • 輪(lun)胎型(xing)號(hao):P20 R75公路輪(lun)胎
          • 測(ce)量速(su)度:可達(da)20km/hr
          • 工作(zuo)溫度:-20-70°C

          軟(ruan)件(jian)界面 

           

          應(ying)用案(an)例

          下圖(tu)為(wei)美國(guo)堪薩斯(si)州立大(da)學G.F. Sassenrath等人(2017年(nian))在其(qi)農(nong)業實(shi)驗站(zhan)利用VERIS 3100車載式土壤(rang)電導(dao)率測(ce)量系(xi)統所做(zuo)的研(yan)究(jiu)。A圖(tu)為(wei)電導(dao)率分(fen)布,B圖(tu)為(wei)玉米(mi)產(chan)量,從圖(tu)中(zhong)很(hen)容易看(kan)出A圖(tu)綠(lv)色(se)低電(dian)導(dao)率區(qu)域與(yu)B圖(tu)綠(lv)色(se)高(gao)產(chan)量區(qu)域相關(guan)性(xing),從而為(wei)作(zuo)物(wu)的灌溉(gai)、播種、施(shi)肥等綜(zong)合管(guan)理(li)決(jue)策(ce)提(ti)供(gong)精(jing)準(zhun)數據。 

           

          產(chan)地

          美國(guo)

          選(xuan)配技術方案

          • 可選(xuan)配高(gao)光(guang)譜(pu)成(cheng)像(xiang)以(yi)評(ping)估(gu)土(tu)壤微生(sheng)物(wu)呼吸(xi)作(zuo)用(yong)
          • 可選(xuan)配紅外(wai)熱成(cheng)像(xiang)研(yan)究(jiu)土(tu)壤水分(fen)、溫度變化對(dui)呼(hu)吸(xi)影響(xiang)
          • 可選(xuan)配ECODRONE®無人機(ji)平臺搭(da)載高(gao)光(guang)譜(pu)和(he)紅外(wai)熱成(cheng)像(xiang)傳(chuan)感器進(jin)行(xing)時空 格(ge)局(ju)調查研(yan)究(jiu)

          部(bu)分(fen)參(can)考文(wen)獻(xian)

          • Hudzari, R. M. & Aimrun, W. Application of geographical information system for farm mechanization education and training. Scientific Journal of Pure and Applied Sciences 8 (2013).
          • Combining Site Specific Data with Geospatial Analysis to Identify Variable Rate Irrigation Opportunities in Irrigated Agricultural Fields. in 2014 ASABE Annual International Meeting 1–18 (American Society of Agricultural and Biological Engineers, 2014). doi:10.13031/aim.20141896808
          • Nagy, V. et al. Continuous field soil moisture content mapping by means of apparent electrical conductivity (ECa) measurement. Journal of Hydrology and Hydromechanics 61, 305–312 (2013).
          • Kitchen, N. R., Sudduth, K. A., Myers, D. B., Drummond, S. T. & Hong, S. Y. Delineating productivity zones on claypan soil fields using apparent soil electrical conductivity. Computers and Electronics in Agriculture 46, 285–308 (2005).
          • Misopolinos, L. et al. Development of a UAV system for VNIR-TIR acquisitions in precision agriculture. in (eds. Hadjimitsis, D. G., Themistocleous, K., Michaelides, S. & Papadavid, G.) 95351H (2015). doi:10.1117/12.2192660
          • Steponavicius, D., Kemzuraite, A., Zinkevicius, R. & Bartkus, T. EFFECT OF SOIL PH ON REASONABLE TRAVEL SPEED OF MOBILE UNIT AND LIME APPLICATION. ENGINEERING FOR RURAL DEVELOPMENT 8
          • Franzen, D. et al. Evaluation of methods to determine residual soil nitrate zones across the northern Great Plains of the USA. Precision Agriculture 12, 594–606 (2011).
          • Sassenrath, G. & Kulesza, S. Measuring Soil Electrical Conductivity to Delineate Zones of Variability in Production Fields. Kansas Agricultural Experiment Station Research Reports 3, (2017).
          • Sassenrath 和(he) Kulesza - 2017 - Measuring Soil Electrical Conductivity to Delineat.pdf.
          • Chan, C. S., Amin, M. S. M., Lee, T. S. & Mohammud, C. H. PREDICTING PADDY SOIL PRODUCTIVITY. 67, 11 (2006).
          • Romaneckas, K., Zinkevicius, R., Steponavicius, D., Maziliauskas, A. & Marcinkeviciene, A. PRINCIPLES OF PRECISION AGRICULTURE IN ON-FARM SPRING WHEAT FERTILIZATION EXPERIMENT. ENGINEERING FOR RURAL DEVELOPMENT 6
          • Schirrmann, M., Gebbers, R., Kramer, E. & Seidel, J. Soil pH Mapping with an On-The-Go Sensor. Sensors 11, 573–598 (2011).
          • R. L. Raper, D. W. Reeves, J. N. Shaw, E. van Santen & P. L. Mask. USING SITE-SPECIFIC SUBSOILING TO MINIMIZE DRAFT AND OPTIMIZE CORN YIELDS. Transactions of the ASAE 48, 2047–2052 (2005). 

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