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121.
基于深度学习目标测定的大蒜收获切根装置设计与试验   总被引:1,自引:0,他引:1  
为研究适用于大蒜联合收获的智能化切根装置,提出了基于机器视觉的非接触式定位切根方法,设计了一种基于深度卷积神经网络的大蒜切根试验台.试验台采用深度学习的方法,对采集到的图像进行目标检测,利用APP完成人机交互和结果显示,由深度卷积神经网络给定切根的切入位置,电机控制系统自动调整定位双圆盘切根刀完成切根处理.目标比较试验...  相似文献   
122.
垄作沟播喷灌技术是集垄作沟播与喷灌技术为一体的节水栽培技术.以不同灌水定额各设4个处理(灌水定额分别为24 mm、30 mm、36 mm、42 mm,灌水5次),以常规覆膜喷灌为对照(灌水定额42 mm,灌水5次).通过测定不同灌水处理下垄作沟播油葵根系生长及分布特征等指标,分析了不同灌水处理对油葵根系纵向、横向生长及...  相似文献   
123.
不同水分胁迫下的小麦/玉米间作群体响应机理研究   总被引:1,自引:0,他引:1  
为探明不同水分胁迫下小麦/玉米间作群体响应机理,试验设置了1个充分灌水、3个不同水分胁迫程度间作处理及2个充分灌水单作对照处理。结果表明:共生期内,各间作处理间普遍存在小麦条带水分捕获当量比高于玉米条带的现象,随水分胁迫的加剧,此趋势愈加明显;随着生育期的推进,此趋势渐弱甚至出现反转,而带间的水分相对竞争能力则呈现逐渐下降的规律。在根系分布特征方面,充分灌溉下间作群体平均根系分布深度为17. 15~17. 24 cm,其根质量密度的90. 42%~90. 77%分布于耕层内,其中小麦为87. 49%~88. 70%,玉米为92. 63%~92. 81%,而水分胁迫会显著影响间作群体根系的空间分布。在间作优势方面,要保持间作优势,每次灌水最少需满足80%左右的田间持水率,随水分胁迫程度的增加,间作群体土地当量比呈现先微升、后下降的规律,且间作玉米的偏土地当量比下降速率快于间作小麦。在种间相对竞争能力方面,表现出随水分胁迫的加剧,小麦相对于玉米先微升、后快速下降,并逐渐近于消失的趋势。间作群体的特殊性造成了两作物条带存在时间与空间上的土壤水分差异,进而导致灌溉水入渗速度及入渗总量的不同,而水分胁迫增大了这种趋势,这在一定程度上满足了灌溉水的最佳去处,从而提高了间作群体的水分利用效率,进而揭示了间作群体的节水增产机理。  相似文献   
124.
不同施氮量下覆膜滴灌玉米相对根长密度模型研究   总被引:2,自引:0,他引:2  
为探明施氮量对宁夏引黄灌区覆膜滴灌玉米根长密度(RLD)的影响,设置5个施氮水平和1个对照(CK,不施氮与不覆膜)进行试验,测定玉米RLD,建立不同施氮量下相对根长密度(NRLD)模型,并加以检验。结果表明:不同施氮处理的玉米RLD分布区域均随土层深度的增加而减小,且大部分集中在0~20 cm土层;随着施氮量的增加,RLD分布区域明显扩大; NRLD分布满足三阶多项式函数模型,模拟曲线的决定系数R2为0.951,模型检验结果R2为0.845,均方根误差(RMSE)为0.248,拟合效果好,但该多项式模型不能保证NRLD在相对取样深度Zr为1时达到0,故对玉米NRLD分布多项式模型进行优化。优化模型验证结果显示,各施氮处理RMSE不大于0.308,CK、N0、N1、N2、N3和N4处理的标准化均方根误差分别为0.242、0.193、0.184、0.226、0.208和0.273,R2分别为0.903、0.953、0.920、0.944、0.962和0.898,具有较高的拟合度,解决了NRLD在Zr=1时达到0的问题。本研究可为宁夏引黄灌区膜下滴灌玉米NRLD分布拟合、根系养分吸收和施肥管理提供理论参考。  相似文献   
125.
The Andean seed crop quinoa (Chenopodium quinoa Willd.) is traditionally grown under drought and other adverse conditions that constrain crop production in the Andes, and it is regarded as having considerable tolerance to soil drying. The objective of this research was to study how chemical and hydraulic signalling from the root system controlled gas exchange in a drying soil in quinoa. It was observed that during soil drying, relative gs and photosynthesis Amax (drought stressed/fully watered plants) equalled 1, until the fraction of transpirable soil water (FTSW) decreased to 0.82 ± 0.152 and 0.33 ± 0.061, respectively, at bud formation, indicating that photosynthesis was maintained after stomata closure. The relationship between relative gs and relative Amax at bud formation was represented by a logarithmic function (r2 = 0.79), which resulted in a photosynthetic water use efficiency WUEAmax/gsWUEAmax/gs of 1 when FTSW > 0.8, and increased by 50% with soil drying to FTSW 0.7–0.4. Mild soil drying slightly increased ABA in the xylem. It is concluded that during soil drying, quinoa plants have a sensitive stomatal closure, by which the plants are able to maintain leaf water potential (ψl) and Amax, resulting in an increase of WUE. Root originated ABA plays a role in stomata performance during soil drying. ABA regulation seems to be one of the mechanisms utilised by quinoa when facing drought inducing decrease of turgor of stomata guard cells.  相似文献   
126.
辣椒根系分泌物的化感作用及其化感物质分析   总被引:9,自引:1,他引:8  
 利用生物测定和GC-MS分析的方法,研究了辣椒根系分泌物各组分的化感作用及其优势组分的化感物质。结果表明:辣椒根系分泌物各组分对莴苣的化感作用不同,以乙醚洗脱组分的化感作用最强;对乙醚洗脱组分进行再分离,最后得出80%乙醚+20%乙酸乙酯洗脱组分的化感作用最强;对80%乙醚+20%乙酸乙酯洗脱组分进行GC-MS分析鉴定,确定辣椒根系分泌的主要化感物质为邻苯二甲酸二丁酯、邻苯二甲酸-丁基-环己烷基酯、邻苯二甲酸-丁基-异丁酯、邻苯二甲酸二叔丁酯、二苯胺、4,4’-叔丁基二苯酚、苯萘胺、邻苯二甲酸,其中,邻苯二甲酸二丁酯的含量最高。  相似文献   
127.
不同基质及生根剂浓度对五种园林植物扦插生根的影响   总被引:3,自引:2,他引:1  
以5种园林植物为材料,进行不同基质与不同生根剂浓度对植物扦插生根的比较研究.结果表明:月季、大叶黄杨最适宜的基质是河沙,小叶女贞、八角金盘最适宜的基质是珍珠岩,鹅掌柴最适宜的基质是混合基质.月季、大叶黄杨最合适的生根剂浓度为3 000 mg/kg,小叶女贞最合适的生根剂浓度为5000mg/kg,八角金盘、鹅掌柴最合适的生根剂浓度为1000mg/kg.  相似文献   
128.
从种子芽势、作物茬口、播种量、镇压次数、育苗苗龄方面调查分析了甜菜产生叉根的原因。  相似文献   
129.
The reuse of saline treated industrial wastewater generated by textile firms mixed with municipal domestic effluent for irrigation was used to asses its effect on the mineral content of three olive (Olea europaea L.) cultivars under greenhouse and field conditions during two complete vegetative cycles. Chemical analysis of the treated wastewater indicated that the element concentrations fall within the permissible range of irrigation water used for plants. However, little impermissible accumulation of Na and Mg higher than the recommended maximum concentration was observed. Irrigation water with six electrical conductivities (EC = 0.78, 1.0, 2.0, 3.0, 4.0 and 5.0 dS m−1 in treatments T0, T1, T2, T3, T4, T5, respectively) were compared in the greenhouse experiment. The olive trees in the field experiment were trickle irrigated with potable water and treated wastewater (average EC = 4.2 dS m−1). The results of the greenhouse experiment showed that leaf N, Cu, Mn, Fe, Pb, and Na contents increased with increasing salinity of the treated wastewater. This increase was accompanied with a decrease in K and Mg contents. Leaf Ca and Cl concentrations were not considerably affected. Ion analysis in roots indicated that the contents of P, Na, Cl, Mn, and Pb increased while K decreased as treated wastewater salinity increased. Consequently, in most cases T4 and T5 gave a highly significant increase or decrease in accumulation of the previously mentioned minerals. A considerable variation in the studied cultivars was noticed. ‘Nabali’ was considered the most tolerant cultivar for the high salinity levels of the treated wastewater; its transporting selectivity of Na from root to leaf was higher and more Na was retained in the roots. Tissue analysis of leaves indicated that the element concentrations were within the adequate levels except those of Fe in ‘Nabali’ and ‘Manzanillo’, Na in ‘Improved Nabali’ and Cu in ‘Nabali’ and ‘Manzanillo’. In view of these findings, the negligible accumulation of minerals in leaves and roots indicated that this kind of textile effluent can be used as a valid alternative for irrigation of olive orchards with continuous monitoring of mineral levels.  相似文献   
130.
Free-drainage or “open” substrate system used for vegetable production in greenhouses is associated with appreciable NO3 leaching losses and drainage volumes. Simulation models of crop N uptake, N leaching, water use and drainage of crops in these systems will be useful for crop and water resource management, and environmental assessment. This work (i) modified the TOMGRO model to simulate N uptake for tomato grown in greenhouses in SE Spain, (ii) modified the PrHo model to simulate transpiration of tomato grown in substrate and (iii) developed an aggregated model combining TOMGRO and PrHo to calculate N uptake concentrations and drainage NO3 concentration. The component models simulate NO3-N leached by subtracting simulated N uptake from measured applied N, and drainage by subtracting simulated transpiration from measured irrigation. Three tomato crops grown sequentially in free-draining rock wool in a plastic greenhouse were used for calibration and validation. Measured daily transpiration was determined by the water balance method from daily measurements of irrigation and drainage. Measured N uptake was determined by N balance, using data of volumes and of concentrations of NO3 and NH4+ in applied nutrient solution and drainage. Accuracy of the two modified component models and aggregated model was assessed by comparing simulated to measured values using linear regression analysis, comparison of slope and intercept values of regression equations, and root mean squared error (RMSE) values. For the three crops, the modified TOMGRO provided accurate simulations of cumulative crop N uptake, (RMSE = 6.4, 1.9 and 2.6% of total N uptake) and NO3-N leached (RMSE = 11.0, 10.3, and 6.1% of total NO3-N leached). The modified PrHo provided accurate simulation of cumulative transpiration (RMSE = 4.3, 1.7 and 2.4% of total transpiration) and cumulative drainage (RMSE = 13.8, 6.9, 7.4% of total drainage). For the four cumulative parameters, slopes and intercepts of the linear regressions were mostly not statistically significant (P < 0.05) from one and zero, respectively, and coefficient of determination (r2) values were 0.96-0.98. Simulated values of total drainage volumes for the three crops were +21, +1 and −13% of measured total drainage volumes. The aggregated TOMGRO-PrHo model generally provided accurate simulation of crop N uptake concentration after 30-40 days of transplanting, with an average RMSE of approximately 2 mmol L−1. Simulated values of average NO3 concentration in drainage, obtained with the aggregated model, were −7, +18 and +31% of measured values.  相似文献   
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