The high-temporal-resolution monitoring of key management nodes in cotton management via agricultural remote sensing is vital forfield cotton macro-statistics,particularly for predicting cotton production and obtainin...The high-temporal-resolution monitoring of key management nodes in cotton management via agricultural remote sensing is vital forfield cotton macro-statistics,particularly for predicting cotton production and obtaining comprehensive data.This study examines Shihezi,Xinjiang as a case study,utilizing Sentinel-1 and Sentinel-2 data from 2019 to 2021.Three machine learning models(RF,SVM,and CART)were employed to extract annual crop classification area rasters,monitor weekly cultivation progress,and monitor abandoned cropland during the cultivation period.The results demonstrate that the random forest model has produced satisfactory results in gridded extraction for cotton classification areas,achieving the producer’s accuracy of the cotton category reached 98.5%,and the kappa coefficient is 0.947.Cotton cultivated in 2021 began is a week later than in 2020,yet exhibited a faster cultivate speed.The proportion of abandoned cottonfields in the study area rose in 2020 compared to 2019.The methodology presented in this study has a certain reference value for exploring the monitoring of continuous changes in crops over the years and macro-monitoring of important activities in the entire growth cycle.展开更多
Cotton yield is a function of growth rates,flower production rates,and flower and boll retention during the fruiting period.Information on the relationship between climatic factors and the cotton plant’s ability to p...Cotton yield is a function of growth rates,flower production rates,and flower and boll retention during the fruiting period.Information on the relationship between climatic factors and the cotton plant’s ability to produce and sustain flower buds,flowers,and bolls will allow one to model plant responses to conditions that frequently occur in the field and to predict developmental rate or the formation of these organs.This study investigates the statistical relationship between various climatic factors and overall flower and boll production.Also,the relationship between climatic factors and production of flowers and bolls obtained during the development periods of the flowering and boll stage.Further,predicting effects of climatic factors during different convenient intervals(in days)on cotton flower and boll production compared with daily observations.Evaporation,sunshine duration,relative humidity,surface soil temperature at 1800 h,and maximum air temperature,are the important climatic factors that significantly affect flower and boll production.The five-day interval was found to be more adequately and sensibly related to yield parameters.Evaporation;minimum humidity and sunshine duration were the most effective climatic factors during preceding and succeeding periods on boll production and retention.There was a negative correlation between flower and boll production and either evaporation or sunshine duration,while that correlation with minimum relative humidity was positive.展开更多
This paper firstly introduces the general situation of cotton planting areas in China and cotton industry in Xinjiang,and the current situation of intellectual property protection of Xinjiang's cotton industry.The...This paper firstly introduces the general situation of cotton planting areas in China and cotton industry in Xinjiang,and the current situation of intellectual property protection of Xinjiang's cotton industry.Then,it analyzes the main problems in its intellectual property protection and high-quality development.On this basis,it comes up with the recommendations for high-quality development of cotton industry in Xinjiang under the strategy of strengthening the country with intellectual property.The recommendations include improving the level of creation of creative intellectual property rights,building an intellectual property rule system in the entire cotton industry chain in Xinjiang,building protected zones for production of major high quality agricultural product cotton,establishing a demonstration zone to undertake the transfer of the domestic cotton textile and garment industry,undertaking education on the sense of community for the Chinese nation in response to the Xinjiang cotton incident,and developing the"Belt and Road"blue market for Xinjiang cotton and its products.展开更多
基金supported by the Laboratory of Lingnan Modern Agriculture Project[grant number NT2021009]China Agriculture Research System[grant number CARS-15-22]+2 种基金Guangdong Technical System of Peanut and Soybean Industry[grant number 2019KJ136-05]Key-Area Research and Development Program of Guangdong Province[grant number 2019B020214003]the leading talents of Guangdong province program[grant number 2016LJ06G689].
文摘The high-temporal-resolution monitoring of key management nodes in cotton management via agricultural remote sensing is vital forfield cotton macro-statistics,particularly for predicting cotton production and obtaining comprehensive data.This study examines Shihezi,Xinjiang as a case study,utilizing Sentinel-1 and Sentinel-2 data from 2019 to 2021.Three machine learning models(RF,SVM,and CART)were employed to extract annual crop classification area rasters,monitor weekly cultivation progress,and monitor abandoned cropland during the cultivation period.The results demonstrate that the random forest model has produced satisfactory results in gridded extraction for cotton classification areas,achieving the producer’s accuracy of the cotton category reached 98.5%,and the kappa coefficient is 0.947.Cotton cultivated in 2021 began is a week later than in 2020,yet exhibited a faster cultivate speed.The proportion of abandoned cottonfields in the study area rose in 2020 compared to 2019.The methodology presented in this study has a certain reference value for exploring the monitoring of continuous changes in crops over the years and macro-monitoring of important activities in the entire growth cycle.
文摘Cotton yield is a function of growth rates,flower production rates,and flower and boll retention during the fruiting period.Information on the relationship between climatic factors and the cotton plant’s ability to produce and sustain flower buds,flowers,and bolls will allow one to model plant responses to conditions that frequently occur in the field and to predict developmental rate or the formation of these organs.This study investigates the statistical relationship between various climatic factors and overall flower and boll production.Also,the relationship between climatic factors and production of flowers and bolls obtained during the development periods of the flowering and boll stage.Further,predicting effects of climatic factors during different convenient intervals(in days)on cotton flower and boll production compared with daily observations.Evaporation,sunshine duration,relative humidity,surface soil temperature at 1800 h,and maximum air temperature,are the important climatic factors that significantly affect flower and boll production.The five-day interval was found to be more adequately and sensibly related to yield parameters.Evaporation;minimum humidity and sunshine duration were the most effective climatic factors during preceding and succeeding periods on boll production and retention.There was a negative correlation between flower and boll production and either evaporation or sunshine duration,while that correlation with minimum relative humidity was positive.
基金Supported by Foundation for Key Program of Hubei Province (LX201827)
文摘This paper firstly introduces the general situation of cotton planting areas in China and cotton industry in Xinjiang,and the current situation of intellectual property protection of Xinjiang's cotton industry.Then,it analyzes the main problems in its intellectual property protection and high-quality development.On this basis,it comes up with the recommendations for high-quality development of cotton industry in Xinjiang under the strategy of strengthening the country with intellectual property.The recommendations include improving the level of creation of creative intellectual property rights,building an intellectual property rule system in the entire cotton industry chain in Xinjiang,building protected zones for production of major high quality agricultural product cotton,establishing a demonstration zone to undertake the transfer of the domestic cotton textile and garment industry,undertaking education on the sense of community for the Chinese nation in response to the Xinjiang cotton incident,and developing the"Belt and Road"blue market for Xinjiang cotton and its products.
