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| 1 | IMPACTS OF CLIMATE CHANGE ON CROPPING SYSTEM AND ITS IMPLICATION FOR AGRICULTURE IN CHINA显示文摘Based on the analyses on amplitudes of historical variation of temperature and precipitation inthe past 500 years and latest 100 years,according to the regional climate change scenarios forChina estimated by composite GCM,the potential impacts of climate change on cropping systemsin China in future are simulated and assessed using the cropping system model developmentspecially for the Chinese cropping patterns.It is shown that under the projected future climatechange by 2050 the most parts of the present double cropping area would be replaced by thedifferent triple cropping patterns while the current double cropping area would shift towards thecentral part of the present single cropping area.More explicitly,the northern boundary of triplecropping area would shift from its current border at the Changjing River to the Huanghe River,ashift of more than 5 degrees of latitude.And the shift of multiple cropping areas leads to asignificant decrease of single cropping area.Furthermore,considering the changes mentioned above in combination with the likely negativebalance of precipitation and evapotranspiration and,therefore,increase of moisture stress(i.e.less water availability),as well as the possible increase of heat stress disaster and decrease of LGS(length of growing season),the potential implication of climate change for agriculture in China arealso analyzed roughly in this paper.As a result,however,it is still very difficult to reach a specific conclusion that the futureclimate change will he favorable or unfavorable to farm in China because of the complicated Chinesefarming patterns,the complex-various social and economic environment of agriculturaldevelopment and,especially,a great scientific uncertainties in the investigation/prediction ofclimate change. | 王馥棠 | 1997 | Acta meteorologica Sinica1997，11，4： | 37 |
| 2 | De Novo Domestication:An Alternative Route toward New Crops for the Future显示文摘Current global agricultural production must feed over 7 billion people.However,productivity varies greatly across the globe and is under threat from both increased competitions for land and climate change and associated environmental deterioration.Moreover,the increase in human population size and dietary changes are putting an ever greater burden on agriculture.The majority of this burden is met by the cultivation of a very small number of species,largely in locations that differ from their origin of domestication.Recent technological advances have raised the possibility of de novo domestication of wild plants as a viable solution for designing ideal crops while maintaining food security and a more sustainable lowinput agriculture.Here we discuss how the discovery of multiple key domestication genes alongside the development of technologies for accurate manipulation of several target genes simultaneously renders de novo domestication a route toward crops for the future. | Alisdair R.Fernie Jianbing Yan | 2019 | Molecular Plant2019，12，5： | 32 |
| 3 | The transformation of agriculture in China: Looking back and looking forward显示文摘China's grain yield increased from 1 t ha^(–1) in 1961 to 6 t ha^(–1) in 2015, while successfully feeding not only its large population but also supplying agricultural products all over the world. These achievements were greatly supported by modern technology and distinct governmental policy. However, China's grain production has been causing a number of problems mainly related to declining natural resources and a lack of environmental protection. Due to the growing population and changing dietary requirements, increasing food production must be achieved by increasing resource use efficiency while minimizing environmental costs. We propose two novel development pathways that can potentially sustain agricultural crop production in the next few decades:(i) enhancing nutrient use efficiency with zero increase in chemical fertilizer input until 2020 and(ii) concurrently increasing grain yield and nutrient use efficiency for sustainable intensification with integrated nutrient management after 2020. This paper provides a perspective on further agricultural developments and challenges, and useful knowledge of our valuable experiences for other developing countries. | JIAO Xiao-qiang Nyamdavaa Mongol ZHANG Fu-suo | 2018 | Journal of Integrative Agriculture2018，17，4： | 19 |
| 4 | 制定《农业科技发展纲要》,推动农业科技革命显示文摘6月30日,国务院总理朱镕基主持国家科教领导小组会议,决定制定《农业科技发展纲要》,确定未来15年我国农业科技的发展方向和“十五”农业科技的工作重点.《纲要》编制工作由科技部、农业部牵头,全国28个部委办局参加.制定《纲要》是新时期农业和农村发展的客观需求,也是我国实现跨世纪农业和农村经济战略目标的根本保证. | 邓楠 | 1999 | 中国农业科技导报1999，1，2： | 16 |
| 5 | The impacts of conservation agriculture on crop yield in China depend on specific practices, crops and cropping regions显示文摘For smooth and wide application of conservation agriculture(CA), remaining uncertainties about its impacts on crop yield need to be reduced. Based on previous field experiments in China, a meta-analysis was performed to quantify the actual impacts of CA practices(NT: no/reduced-tillage only, CTSR: conventional tillage with straw retention, NTSR: NT with straw retention) on crop yields as compared to conventional tillage without straw retention(CT).Although CA practices increased crop yield by 4.6% on average, there were large variations in their impacts. For each CA practice, CTSR and NTSR significantly increased crop yield by 4.9%and 6.3%, respectively, compared to CT. However, no significant effect was found for NT. Among ecological areas, significant positive effects of CA practices were found in areas with an annual precipitation below 600 mm. Similar effects were found in areas with annual mean air temperature above 5 °C. For cropping regions, CA increased crop yield by 6.4% and 5.5%compared to CT in Northwest and South China, respectively, whereas no significant effects were found in the North China and Northeast China regions. Among crops, the positive effects of CA practices were significantly higher in maize(7.5%) and rice(4.1%) than in wheat(2.9%). NT likely decreased wheat yield. Our results indicate that there are great differences in the impacts of CA practices on crop yield, owing to regional variation in climate and crop types. CA will most likely increase maize yield but reduce wheat yield. It is strongly recommended to apply CA with crop straw retention in maize cropping areas and seasons with a warm and dry climate pattern. | Chengyan Zheng Yu Jiang Changqing Chen Yanni Sun Jinfei Feng Aixing Deng Zhenwei Song Weijian Zhang | 2014 | The Crop Journal2014，2，5： | 15 |
| 6 | Neolithic millet farmers contributed to the permanent settlement of the Tibetan Plateau by adopting barley agriculture显示文摘The permanent human settlement of the Tibetan Plateau(TP)has been suggested to have been facilitated by the introduction of barley agriculture^3.6 kilo-years ago(ka).However,how barley agriculture spread onto the TP remains unknown.Given that the lower altitudes in the northeastern TP were occupied by millet cultivators from 5.2 ka,who also adopted barley farming^4 ka,it is highly possible that it was millet farmers who brought barley agriculture onto the TP^3.6 ka.To test this hypothesis,we analyzed mitochondrial DNA(mt DNA)from 8277 Tibetans and 58514 individuals from surrounding populations,including 682 newly sequenced whole mitogenomes.Multiple lines of evidence,together with radiocarbon dating of cereal remains at different elevations,supports the scenario that two haplogroups(M9a1a1c1b1a and A11a1a),which are common in contemporary Tibetans(20.9%)and were probably even more common(40–50%)in early Tibetans prior to historical immigrations to the TP,represent the genetic legacy of the Neolithic millet farmers.Both haplogroups originated in northern China between 10.0–6.0 ka and differentiated in the ancestors of modern Tibetans^5.2–4.0 ka,matching the dispersal history of millet farming.By showing that substantial genetic components in contemporary Tibetans can trace their ancestry back to the Neolithic millet farmers,our study reveals that millet farmers adopted and brought barley agriculture to the TP^3.6–3.3 ka,and made an important contribution to the Tibetan gene pool. | Yu-Chun Li Jiao-Yang Tian Feng-Wen Liu Bin-Yu Yang Kang-Shu-Yun Gu Zia Ur Rahman Li-Qin Yang Fa-Hu Chen Guang-Hui Dong Qing-Peng Kong | 2019 | National Science Review2019，6，5： | 15 |
| 7 | Agricultural information dissemination using ICTs:A review and analysis of information dissemination models in China显示文摘Over the last three decades,China’s agriculture sector has been transformed from the traditional to modern practice through the effective deployment of Information and Communication Technologies(ICTs).Information processing and dissemination have played a critical role in this transformation process.Many studies in relation to agriculture information services have been conducted in China,but few of them have attempted to provide a comprehensive review and analysis of different information dissemination models and their applications.This paper aims to review and identify the ICT based information dissemination models in China and to share the knowledge and experience in applying emerging ICTs in disseminating agriculture information to farmers and farm communities to improve productivity and economic,social and environmental sustainability.The paper reviews and analyzes the development stages of China’s agricultural information dissemination systems and different mechanisms for agricultural information service development and operations.Seven ICT-based information dissemination models are identified and discussed.Success cases are presented.The findings provide a useful direction for researchers and practitioners in developing future ICT based information dissemination systems.It is hoped that this paper will also help other developing countries to learn from China’s experience and best practice in their endeavor of applying emerging ICTs in agriculture information dissemination and knowledge transfer. | Yun Zhang Lei Wang Yanqing Duan | 2016 | Information Processing in Agriculture2016，3，1： | 12 |
| 8 | Typical atmospheric haze during crop harvest season in northeastern China:A case in the Changchun region显示文摘This study presents the mass concentrations of PM_(2.5),O_3,SO_2 and NOxat one urban,one suburban and two rural locations in the Changchun region from September 25 to October 272013. Major chemical components of PM_(2.5)at the four sites were daily sampled and analyzed. Most of daily concentrations of SO_2(7–82 μg/m^3),O_3(27–171 μg/m^3) and NOx(14–213 μg/m^3) were below the limits of the National Ambient Air Quality Standard(NAAQS)in China. However,PM_(2.5)concentrations(143–168 μg/m^3) were 2-fold higher than NAAQS.Higher PM_(2.5)concentrations(~ 150 μg/m^3) were measured during the pre-harvest and harvest at the urban site,while PM_(2.5)concentrations significantly increased from 250 to400 μg m^(-3) at suburban and rural sites with widespread biomass burning. At all sites,PM_(2.5)components were dominated by organic carbon(OC) and followed by soluble component sulfate(SO_4^(2-)),ammonium(NH_4^+) and nitrate(NO_3^-). Compared with rural sites,urban site had a higher mineral contribution and lower potassium(K^+and K) contribution to PM_(2.5).Severe atmospheric haze events that occurred from October 21 to 23 were attributed to strong source emissions(e.g.,biomass burning) and unfavorable air diffusion conditions.Furthermore,coal burning originating from winter heating supply beginning on October 18 increased the atmospheric pollutant emissions. For entire crop harvest period,the Positive Matrix Factorization(PMF) analysis indicated five important emission contributors in the Changchun region,as follows: secondary aerosol(39%),biomass burning(20%),supply heating(18%),soil/road dust(14%) and traffic(9%). | Wei Wei Chen Daniel Q.Tong Mo Dan Shi Chun Zhang Xue Lei Zhang Yue Peng Pan | 2017 | Journal of Environmental Sciences2017，29，4： | 10 |
| 9 | China agricultural outlook for 2015–2024 based on China Agricultural Monitoring and Early-warning System(CAMES)显示文摘The primary goal of Chinese agricultural development is to guarantee national food security and supply of major agricultural products. Hence, the scientific work on agricultural monitoring and early warning as well as agricultural outlook must be strengthened. In this study, we develop the China Agricultural Monitoring and Early-warning System(CAMES) on the basis of a comparative study of domestic and international agricultural outlook models. The system is a dynamic and multi-market partial equilibrium model that integrates biological mechanisms with economic mechanisms. This system, which includes 11 categories of 953 kinds of agricultural products, could dynamically project agricultural market supply and demand, assess food security, and conduct scenario analysis at different spatial levels, time scale levels, and macro-micro levels. Based on the CAMES, the production, consumption, and trade of the major agricultural products in China over the next decade are projected. The following conclusions are drawn: i) The production of major agricultural products will continue to grow steadily, mainly because of the increase in yield. ii) The growth of agricultural consumption will be slightly higher than that of agricultural production. Meanwhile, a high self-sufficiency rate is expected for cereals such as rice, wheat, and maize, with the rate being stable at around 97%. iii) Agricultural trade will continue to thrive. The growth of soybean and milk imports will slow down, but the growth of traditional agricultural exports such as vegetables and fruits is expected to continue. | XU Shi-wei LI Gan-qiong LI Zhe-min | 2015 | Journal of Integrative Agriculture2015，14，9： | 10 |
| 10 | Genome editing in large animals: current status and future prospects显示文摘Large animals(non-human primates,livestock and dogs)are playing important roles in biomedical research,and large livestock animals serve as important sources of meat and milk.The recently developed programmable DNA nucleases have revolutionized the generation of gene-modified large animals that are used for biological and biomedical research.In this review,we briefly introduce the recent advances in nuclease-meditated gene editing tools,and we outline these editing tools’applications in human disease modeling,regenerative medicine and agriculture.Additionally,we provide perspectives regarding the challenges and prospects of the new genome editing technology. | Jianguo Zhao Liangxue Lai Weizhi Ji Qi Zhou | 2019 | National Science Review2019，6，3： | 10 |
| 11 | Engineering crop nutrient efficiency for sustainable agriculture显示文摘Increasing crop yields can provide food,animal feed, bioenergy feedstocks and biomaterials to meet increasing global demand; however, the methods used to increase yield can negatively affect sustainability. For example, application of excess fertilizer can generate and maintain high yields but also increases input costs and contributes to environmental damage through eutrophication, soil acidification and air pollution. Improving crop nutrient efficiency can improve agricultural sustainability by increasing yield while decreasing input costs and harmful environmental effects. Here, we review the mechanisms of nutrient efficiency(primarily for nitrogen, phosphorus, potassium and iron) and breeding strategies for improving this trait, along with the role of regulation of gene expression in enhancing crop nutrient efficiency to increase yields. We focus on the importance of root system architecture to improve nutrient acquisition efficiency, as well as the contributions of mineral translocation, remobilization and metabolic efficiency to nutrient utilization efficiency. | Liyu Chen Hong Liao | 2017 | Journal of Integrative Plant Biology2017，59，10： | 9 |
| 12 | Development of the straw biochar returning concept in China显示文摘Biochar produced from straw has been shown to improve soil physicochemical properties.This review introduces the fundamental concepts,the broad applications,and underlying theory of straw biochar returning.Current developments in biochar industry and the production practices prevalent among enterprises in China are critiques.This review analyzes current knowledge gaps,challenges,and opportunities in the industrial application of straw biochar returning.Biochar standards,the quantitative and qualitative analysis methods for biochar,and high-value-added products that are based on biochar are critically examined with goal of providing recommendations for future studies.We propose production and modification of biochar that is application oriented to enhance its fitness for purpose as well as long-term and large-space-scale field study to better understand its impact on soil properties and ecotoxicology.Finally,we make prospects for the future development of SBR,including constructing a standard system about straw biochar returning and promoting self-discipline of biochar industry and the establishment of a biochar-based agricultural production model. | Jun Meng Tianyi He Edmond Sanganyado Yu Lan Weiming Zhang Xiaori Han Wenfu Chen | 2019 | Biochar2019，1，2： | 9 |
| 13 | New radiocarbon and archaeobotanical evidence reveal the timing and route of southward dispersal of rice farming in south China显示文摘The origins and spreads of rice agriculture have been enduring topics, yet the timing and southward dispersal from the Yangtze River Basin have been difficult to trace, due to the scarcity of archaeobotanical data, especially systematic macro-plant remains examination, combined with the poor preservation in the humid climate and acidic soils of China's southern provinces.Here, we report new radiocarbon dating and preserved rice phytolith evidence, derived from three Late Neolithic archaeological sites in south China, dated about 5,000–4,100 cal a BP.Our results demonstrate that rice farming had spread southward through the mountainous regions of Wuyi and Nanling, then entered the areas of Western Fujian and North Guangdong by 5,000 cal a BP, followed by continued expansion into coastal areas of East China Sea and South China Sea, also crossing the Taiwan Strait, around 4,500–4,000 cal a BP.The North River,East River, Min River, and possibly other river systems likely were influential as pathways or conduits. | Xiaoyan Yang Qiuhe Chen Yongchao Ma Zhao Li Hsiao-chun Hung Qianglu Zhang Zhiwei Jin Suoqiang Liu Zhenyu Zhou Xianguo Fu | 2018 | Science Bulletin2018，63，22： | 9 |
| 14 | Index-based assessment of agricultural drought in a semi-arid region of Inner Mongolia, China显示文摘Agricultural drought is a type of natural disaster that seriously impacts food security.Because the relationships among short-term rainfall,soil moisture,and crop growth are complex,accurate identification of a drought situation is difficult.In this study,using a conceptual model based on the relationship between water deficit and crop yield reduction,we evaluated the drought process in a typical rainfed agricultural region,Hailar county in Inner Mongolia autonomous region,China.To quantify drought,we used the precipitation-based Standardized Precipitation Index(SPI),the soil moisture-based Crop Moisture Index(CMI),as well as the Normalized Difference Vegetation Index(NDVI).Correlation analysis was conducted to examine the relationships between dekad-scale drought indices during the growing season(May–September)and final yield,according to data collection from 2000 to 2010.The results show that crop yield has positive relationships with CMI from mid-June to mid-July and with the NDVI anomaly throughout July,but no correlation with SPI.Further analysis of the relationship between the two drought indices shows that the NDVI anomaly responds to CMI with a lag of 1 dekad,particularly in July.To examine the feasibility of employing these indices for monitoring the drought process at a dekad time scale,a detailed drought assessment was carried out for selected drought years.The results confirm that the soil moisture-based vegetation indices in the late vegetative to early reproductive growth stages can be used to detect agricultural drought in the study area.Therefore,the framework of the conceptual model developed for drought monitoring can be employed to support drought mitigation in the rainfed agricultural region of Northern China. | Rui LI Atsushi TSUNEKAWA Mitsuru TSUBO | 2014 | Journal of Arid Land2014，6，1： | 8 |
| 15 | Agriculture in Hilly and Mountainous Landscapes: Threats, Monitoring and Sustainable Management显示文摘Agricultural landscapes cultivated in hilly and mountainous areas,often with terracing practice,could represent for some regions historical heritages and cultural ecosystem services.For this reason,they deserve to be protected.The complex morphology that characterises them,however,makes these areas intrinsically susceptible to hydrogeological instability,such as soil loss due to surface erosion or more severe mass movements.We can identify three major critical factors for such landscapes.The first is related to the socio-economic evolution of contemporary civilization,that increased the land abandonment of several rural regions,leading therefore to a lack of maintenance.A second element is the unsustainable agricultural practices,such as excessive heavymechanization that cause soil compaction thus accelerating degradation.Finally,the climate change forcing,with the increasing of the extreme rainfall.In this complex framework,it is necessary to find innovative solutions for the mitigation of hydrogeological risk and to respond in a well-prepared way to the possible future critical scenarios.Therefore,the use of sustainable agricultural practices,which allow the production of quality agricultural products in perfect harmony with the surrounding environment,becomes crucial.Suitable solutions must respond to the criterion of multidisciplinary,where the various stakeholders collaborate by offering their specific knowledge in a shared intention of problem-solving.The discipline of geography may become a valuable asset in this framework.In particular,thanks to the recent technological advances in the topographic survey(e.g.innovative remote sensing techniques such as drones and airborne laser scanning),it is possible to exploit digital terrain analysis to synthesize key information for decision-makers,in order to plan sustainable interventions.Moreover,thanks to the high-resolution and accuracy offered by digital topography and the advanced morphometric algorithms,it is possible to tackle the problem of hydrogeological risk from a unique and privileged perspective:that of prevention. | Paolo Tarolli Eugenio Straffelini | 2020 | Geography and Sustainability2020，1，1： | 8 |
| 16 | 基于CAN总线的谷物产量快速计量系统研发(英文)显示文摘It depended on the spatial and temporal variation of soil and grain yield to implement precision agriculture.Grain yield monitoring on combine harvester was a cornerstone of precision fertilization.The intelligent grain yield monitoring system with the sensors and DGPS(differential global positioning system),which was loaded on the combine harvester,could get the different blocks’yield and produce the yield map.In this study,a new grain yield monitoring system based on CAN bus technology was developed.The system consisted of sensor unit,data acquisition unit,GPS module and LCD(liquid crystal display)terminal.The grain yield data were collected by the grain flow sensor,and processed by the signal condition circuit.And then the grain yield data and GPS signal were transmitted to the control unit by CAN bus.With the algorithm of grain yield conversion,all the collected data including real-time grain yield,harvest area and average grain yield were displayed on the LCD terminal.Flow sensor unit included grain yield flow sensor,force impact plate and mounting bracket.The sensor frame was mounted at the top of clean grain elevator of combine harvester.When the elevator paddles rotated around the sprocket,grain was propelled towards a flat impact plate.As grain momentum was lost in the subsequent collision with the impact plate,an effective force was measured by the impact parallel-beam load cell.Along with the calibration relationship between measured force and mass flow rate,the output of the impact parallel-beam load cell could indicate the flow rate of grain yield.Data acquisition unit included power conversion circuit,sensor signal acquisition circuit,analog-to-digital conversion circuit and CAN communication circuit.It could fulfill data acquisition function,CAN communication function and interrupt handling function.LCD terminal had the function of sensor detection,the function of GPS information collection,parameter calibration,data display and storage.It could display the real-time grain yield,total yield,average yield and harvest area.In order to evaluate the grain yield monitoring system,3 experiments which included static performance experiment of grain yield flow sensor,platform test experiment of grain yield monitoring system and dynamic performance experiment on combine harvester were carried out.The result of platform test experiment showed that the system error between predicted yield and measured yield was less than 3%and the system could avoid the effect of vibration from the platform effectively.Field dynamic experiment showed that the system error was less than 5%.Both the experimental results indicated that the grain yield monitoring system could satisfy the need of practical production. | 安晓飞 孟志军 武广伟 李立伟 魏学礼 | 2015 | 农业工程学报2015，31，S2： | 8 |
| 17 | Preliminary attempt to distinguish the domesticated pigs from wild boars by the methods of carbon and nitrogen stable isotope analysis显示文摘Despite great achievements in the origins of domestic pigs made by the methods of zooarchaeology and molecular biology,how to scientifically distinguish the domesticated pigs from wild boars during the early stage of pig domestication is still poorly understood.Compared to wild boar's diets which come from the natural environment,the diets of domestic pigs are more easily influenced by human feeding activities.Therefore,in principle,exploration of the dietary differences among pigs and understanding the impact on pig diets fed by humans can have great potential to differentiate between wild boars and domesticated pigs.To reveal dietary differences among pigs and distinguish the domesticated pigs from wild boars based on comparison with the diets of humans and other animals,we analyzed the carbon and nitrogen stable isotopes of human bones from Xiaojingshan Site and animal bones from Yuezhuang Site,both of which belong to Houli Culture in Shandong Province and date to about 8500―7500 years ago.The mean δ 13C value((-17.8 ± 0.3)‰) and δ 15N value((9.0±0.6)‰) in human collagen indicate that although millet agriculture began it was not the main subsistence strategy as millets are typical of C4 plants and that humans made a living mainly by gathering,hunting or raising some domesticated animals.The δ 13C value(-16.1‰) and δ 15N value(6.9‰) in the bovine suggest that C3 plants were dominant in its diet with some C4 plants complemented.The fish has lower δ 13C value(-24.9‰) and higher δ 15N value(8.8‰) than the bovine,which is the characteristic of the isotopic values from Eurasian freshwater fish.Based on the differences in carbon and nitrogen isotope values,the pigs can be divided into three groups.A group,composed of two pigs,has low δ 13C values(-18.1‰,-20.0‰) and low δ 15N values(4.7‰,6.0‰).B group,only one pig,has the highest δ 13C value(-10.6‰) and mediate δ 15N value(6.4‰).As for the C group,also only one pig,low δ 13C value(-19.0‰) and the highest δ 15N value(9.1‰) are observed.Previous studies on the stable isotopes from modern or ancient wild boars' bones have suggested that C3 plants are predominated in their diets and that their δ 15N values are close to those in herbivores and far from those in carnivores.Based on the comparison with the isotope values from humans,the wild boars and the domestic pigs from Xipo Site in Henan 6000―5500 years ago and Kangjia Site in Shaanxi 4500―4000 years ago,we conclude that A pig group belongs to wild boars while B and C groups can be attributed to domesticated pigs. | Michael P.RICHARDS | 2009 | Science China Earth Sciences2009，52，1： | 7 |
| 18 | The Discussion on the Interaction and Integration of Modern Agriculture and Rural Tourism Sustainable Development显示文摘The thesis summarizes the connotation of rural tourism and divides it into six types,including rural sight-seeing,rural body-building activity,rural folk culture,rural experience of farm work,rural business affairs,and study and development.It outlines the theory of sustainable development of rural tourism and points out that what sustainable development of tourism concerns is the coordination of ecology,economy,and society centering on human and nature.On the basis of introducing the connotation of modern agriculture,it divides modern agriculture into six types,including sightseeing agriculture,leisure agriculture,green agriculture,characteristic agriculture,factory agriculture,and three-dimensional agriculture.And by concluding,it obtains the combination model of modern agriculture and rural tourism.Based on the introduction of the above related theories,the thesis discusses the interaction and integration model of the sustainable development of modern agriculture and rural tourism.It emphatically analyzes the integration model of modern agriculture and rural tourism,including pastoral agriculture tourism model(sightseeing village,leisure farm,citizen farm),and science education tourism model(agricultural science and technology education base,tourism and leisure education agricultural park,children's,agricultural education base,agricultural exposition).Based on the interaction and integration relationship between modern agriculture and rural tourism,the thesis puts forward corresponding countermeasures so as to promote their positive development and realize the maximum of ecological,social and economic benefits. | XIAO Xiao1,SONG Peng2 1.School of Business,Chengdu University of Technology,Chengdu 610059,China 2.College of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China | 2010 | Asian Agricultural Research2010，2，5： | 7 |
| 19 | Artificial cognition for applications in smart agriculture: A comprehensive review显示文摘Agriculture contributes to 6.4%of the entire world's economic production.In at least nine countries of the world,agriculture is the dominant sector of the economy.Agriculture not only provides the fuel for billions of people but also employment opportunities to a large number of people.The agricultural industries are seeking innovative approaches for improving crop yielding because of unpredictable climatic changes,the rapid increase in population growth and food security concerns.Thus,artificial intelligence in agriculture also called“Agriculture Intelligence”is progressively emerging as a part of the industry's technological revolution.The aim of this paper is to review various applications of agriculture intelligence such as precision farming,disease detection,and crop phenotyping with the help of numerous tools such as machine learning,deep learning,image processing,artificial neural network,deep learning,convolution neural network,Wireless Sensor Network(WSN)technology,wireless communication,robotics,Internet of Things(IoT),different genetic algorithms,fuzzy logic and computer vision to name a few.With the help of these technologies,the use of the colossal volume of chemicals can be used reduced,which would result in reduced expenditure improved soil fertility along with elevated productivity. | Misbah Pathan Nivedita Patel Hiteshri Yagnik Manan Shah | 2020 | Artificial Intelligence in Agriculture2020，，1： | 6 |
| 20 | Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture显示文摘Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications. Some indices,such as normalized difference vegetation index(NDVI) and normalized difference water index(NDWI), are capable of simply differentiating crop vitality and water stress. Nowadays, remote sensing capabilities with high spectral, spatial and temporal resolution are available to analyse classification problems in precision agriculture. Many challenges in precision agriculture can be addressed by supervised classification, such as crop type classification, disease and stress(e.g., grass, water and nitrogen) monitoring. Instead of performing classification based on designated indices, this paper explores direct classification using different bands information as features. Land cover classification by using the recently launched Sentinel-2A image is adopted as a case study to validate our method. Four approaches of featured band selection are compared to classify five classes(crop, tree, soil, water and road) with the support vector machines(SVMs)algorithm, where the first approach utilizes traditional empirical indices as features and the latter three approaches adopt specific bands(red, near infrared and short wave infrared) related to indices, specific bands after ranking by mutual information(MI), and full bands of on-board sensors as features, respectively. It is shown that a better classification performance can be achieved by directly using the selected bands after MI ranking compared with the one using empirical indices and specific bands related to indices, while the use of all 13 bands can marginally improve the classification accuracy than MI based one. Therefore, it is recommended that this approach can be applied for specific Sentinel-2A image classification problems in precision agriculture. | Tian-Xiang Zhang Jin-Ya Su Cun-Jia Liu Wen-Hua Chen | 2019 | International Journal of Automation and computing2019，16，1： | 6 |
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