productive crop 中文意思是什麼

productive crop 解釋
高產作物
  • productive : adj. 1. 生產的，生產性的；有生產力的；多產的。2. 產生[出產]…的 （of）。adv. -ly ,-ness n.
  • crop : n 1 農作物，莊稼；收獲；收成；〈the crops〉 一季的收獲量，產量。2 （同一時期出現的人物等）一批，...
  1. The new applications of survey are described in the fields of indicating underground advance, seeking out lossed ore deposit, discovering neotype deposit for detecting the gold deposit ; determining productive aquifer for looking for groundwater ; discovering fracturation zone controlling crop out of hot spring for developing the hot spring, and locating the position of ancient rock slide for prospecting the earth slide

    摘要綜述了應用輕便測量技術在地礦及地下水尋找等方面的一些新應用，例如：在金礦勘探中指導坑道掘進，找到了被遺漏的礦體，發現了新的礦化類型；在地下水尋找中，確定了富水層位；在溫泉開發中，探明了控制溫泉出露的斷裂帶；在滑坡研究中，確定了古滑坡的具體位置。
  2. While part of this land is later used for highly productive tree crop agriculture ( oil palm, rubber, cocoa ), about 200, 000 ha end up every year as anthropic savanna, dominated by the noxious grass imperata cylindrica ( alang alang )

    其中部分土壤后來開發為生產力較高的經濟樹種農用地（油棕櫚、橡膠、可可） ，而每年大約20萬公頃則變成受人為活動影響的熱帶稀樹草原，主要由毒草白茅（又名印度白茅）組成。
  3. Further, research clearly shows that as soil nutrient levels are maintained, as crop yield levels are increased and more residues are returned to the soil, productive capability continues to increase and the natural resource of the soil is protected

    再者，研究清楚地表明，如果保持住土壤肥力水平，作物產量增加，更多殘茬還田，生產能力會持續上升，天然土壤資源也得以保護。
  4. On crop productive potentialities and population bearing capactity in hebei province

    河北省作物生產潛力及人口承載力研究
  5. Including actuality evaluation, environmental identification analysis, dynamic harmonious analysis, dynamic simulation analysis and policy decision putting into optimization scheme. the results showed as follows. 1, in the current agricultural production structure, output value of animal husbandry and crop planting occupy 93. 4 % of agricultural total output value, and forestry and fishery do not get fully reasonably develop ; the wild economic vegetables and fruits resources and water resources etc, are the superiority environment factors of agriculture development of this area, and the slope farmland and service system etc, are limited environment factors, and the science - technology and labor quality etc, are potential environment factors ; there exists some problems in the agricultural production system, for example, single productive constitution do n ' t correspond with varieties of resources, rich plant resources exploitation scarcity and economical crop development lag

    本文選擇四川盆周山區這一特定地貌區域作為研究對象，以滎經縣為代表研究了該區農業生產結構的優化調整，包括農業生產系統的現有結構評價、環境辨識分析、動態協調分析、動態模擬評價分析和實施優化方案的決策建議，結果表明： 1 、滎經現有結構為以畜牧業和種植業並重的豬糧為主的農業生產結構，二者產值占農業總產值的93 . 4 ，林業、漁業未得到充分合理發展；野生經濟菜果資源、水資源等為該區農業發展的優勢環境因子，坡耕地、服務體系等為限制環境因子，科技、勞動力素質等為潛力環境因子；同時該區農業生產系統存在著生產結構的單一性與資源多樣性的利用不協調、豐富的植物資源開發不足、經濟作物發展滯后等問題。
  6. They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world

    在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
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