Measurement of cultivated land utilization efficiency: Construction and application of random forest

Based on the data of economic, social and ecological benefits of cultivated land in Chengdu-Chongqing urban agglomeration from 2005 to 2014, this paper applies multi-factor comprehensive evaluation model and ArcGIS spatial analysis method to explore the dynamic change and regional difference of the cultivated land use efficiency of Chengdu-Chongqing urban agglomeration. The results showed that the overall efficiency index of cultivated land utilization in Chengdu-Chongqing urban agglomeration, except the economic benefit index, is rising steadily year by year. Among them, the fluctuation of ecological benefit is the most significant, and in 2010 and 2013, there appeared obvious trough. The utilization efficiency of cultivated land in different cities is relatively large, and in terms of distribution pattern, northwest is high, southeast low. The farmland utilization comprehensive efficiency high value district is Ziyang city, Chengdu city and Meishan city. In the future, the Chengdu-Chongqing urban agglomeration should pay more attention to the improvement of agro-ecological environment, control the application of pesticides and fertilizers, and promote the coordinated development of the economic, social and ecological benefits of cultivated land.

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Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China

Land ◽

10.3390/land8110158 ◽

2019 ◽

Vol 8 (11) ◽

pp. 158 ◽

Cited By ~ 2

Author(s):

Qianru Chen ◽

Hualin Xie

Keyword(s):

Influencing Factors ◽

Carbon Emissions ◽

Spatial Differentiation ◽

Utilization Efficiency ◽

Added Value ◽

Scale Model ◽

Eastern Region ◽

Cultivated Land ◽

Land Utilization ◽

Extension System

Cultivated land is closely related to national food security, rural economic development and social stability. The cultivated land pollution and carbon emissions caused by chemical fertilizers, pesticides, film residues, etc., in the process of cultivated land utilization pose a serious threat to the cultivated land ecosystem in China. The comprehensive analysis on the cultivated land green utilization efficiency (GUECL), its influencing factors, and optimization direction provides a valuable basis for the green utilization of cultivated land. Based on a panel data of 30 provinces (cities or districts) in China from 2001 to 2016, the GUECL in China under the constraints of pollution and carbon emissions was measured by using a super-efficient SBM-VRS (slack based model-variable return to scale) model. The influencing factors and optimization directions of the GUECL were analyzed through the Tobit model and slack values, respectively. The results show that the GUECL in China rose with fluctuations from 2001 to 2016. Since 2014, the eastern region has surpassed the western region and has become the region with the highest mean GUECL value. The room for resource conservation and pollution reduction varies in different regions of China. Farmers’ dependence on cultivated land and agricultural added value are positively related to the GUECL in China. Farmers’ occupational differentiation, agricultural machinery density, and agricultural disaster rate have had negative effects on the GUECL in China. The loss of the GUECL in China is mainly due to the redundancies of land input, pollution emission, and mechanical input. By analyzing these influencing factors and optimization directions, it is concluded that improving rural land transfer market and agricultural infrastructure construction, establishing a new agricultural technology extension system, and vigorously cultivating new professional farmers are the targeted measures to improve the GUECL.

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Study on Land Consolidation Zoning in Hubei Province Based on the Coupling of Neural Network and Cluster Analysis

Land ◽

10.3390/land10070756 ◽

2021 ◽

Vol 10 (7) ◽

pp. 756

Author(s):

Pengnan Xiao ◽

Chong Zhao ◽

Yong Zhou ◽

Haoyu Feng ◽

Xigui Li ◽

...

Keyword(s):

Land Reclamation ◽

Indicator System ◽

Hubei Province ◽

Land Evaluation ◽

Utilization Efficiency ◽

Land Consolidation ◽

Cultivated Land ◽

Land Utilization ◽

Real Situation ◽

The Real

Land consolidation zoning is the basis of land reclamation planning and provides a precondition for land management work. Zoning is beneficial to scientific decision-making regarding the use of cultivated land resources, and helps to ensure the quality and production level of cultivated land. Hence, land consolidation zoning is of national significance in terms of safeguarding food security. In this paper, an indicator system for land evaluation and zoning is described based on indicators of natural ecological conditions, socioeconomic conditions, land-use conditions, and the land consolidation potential of Hubei province. The application of self-organizing maps and Hierarchical clustering results in 11 and 12 categories, respectively. After comparing and adjusting these results according to the real situation and key points in the land consolidation of each zone, seven integrated categories are determined. Finally, the land consolidation zoning scheme for these seven integrated partitions is shown to be suitable for Hubei province and in line with the real situation. The proposed scheme offers support for land remediation in a coordinated and orderly way, and provides a scientific basis for improving land utilization efficiency and grain production capacity in Hubei province.

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How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China

Land ◽

10.3390/land10080789 ◽

2021 ◽

Vol 10 (8) ◽

pp. 789

Author(s):

Yi Qu ◽

Xiao Lyu ◽

Wenlong Peng ◽

Zongfei Xin

Keyword(s):

Shandong Province ◽

Utilization Efficiency ◽

Cultivated Land ◽

Tobit Regression ◽

Land Utilization ◽

Agricultural Insurance ◽

Average Value ◽

Green Development ◽

Unit Output ◽

Farming Households

The behavior of farming households is the most direct factor involved in the transition of cultivated land utilization from high-input/high-output to green and sustainable utilization mode. Improving farming households’ green utilization efficiency of cultivated land (GUECL) is of great significance in facilitating agricultural green development in China. However, there are few studies on GUECL based on the micro-perspective of farming households that cover the comprehensive benefits to the economy, ecology, and society. This paper builds a theoretical analysis framework of farming households’ green utilization of cultivated land and uses the super-efficiency EBM model and a questionnaire to conduct an empirical analysis of 952 farming households in Shandong Province to evaluate the green utilization efficiency of cultivated land. The results show that the GUECL of the farming households is generally not high, with an average value of 0.67, and can be further improved. The higher the GUECL, the lower the input and undesired output per unit yield and per unit output value. Tobit regression results show that a farming household’s per capita income is significantly positively correlated with the GUECL, while agricultural insurance, agricultural subsidies, cultivated land scale, cultivated land fragmentation, and regional economic level are significantly negatively correlated with the GUECL. In addition, recommendations can be made on promoting and innovating agricultural green development technology, popularizing and publicizing farming households’ thoughts on the green utilization of cultivated land, and ensuring and improving rural green life so as to provide a reference for promoting green transition of cultivated land utilization with diversified coordination and multiple measures.

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The evolution of cultivated land utilization efficiency and its influencing factors in Nanyang Basin

自然资源学报 ◽

10.31497/zrzyxb.20210312 ◽

2021 ◽

Vol 36 (3) ◽

pp. 688

Author(s):

Zheng-xin JI ◽

Xiu-li WANG ◽

Ling LI ◽

Xiao-ke GUAN ◽

Lin YU ◽

...

Keyword(s):

Influencing Factors ◽

Utilization Efficiency ◽

Cultivated Land ◽

Land Utilization

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Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China

Land ◽

10.3390/land10020107 ◽

2021 ◽

Vol 10 (2) ◽

pp. 107

Author(s):

Ge Song ◽

Hongmei Zhang

Keyword(s):

Land Use ◽

Northeast China ◽

Utilization Efficiency ◽

Food Crops ◽

Cultivated Land ◽

Gis Technology ◽

Land Use Patterns ◽

Production Area ◽

Structural Imbalance ◽

Crop Planting

Cultivated land use layout adjustment (CLULA) based on crop planting suitability is the refinement and deepening of land use transformation, which is of great significance for optimizing the allocation of cultivated land resources and ensuring food security. At present, people rarely consider the land suitability of crops when using cultivated land, resulting in an imbalance between crop distribution and resource conditions such as water, heat, and soil, and adversely affects the ecological security and utilization efficiency of cultivated land. To alleviate China’s grain planting structural imbalance and efficiency loss, this paper based on the planting suitability of main food crops (rice, soybean, and maize) to adjust and optimize the cultivated land use layout (CLUL) in the typical counties of the main grain production area in Northeast China, using the agent-based model for optimal land allocation (AgentLA) and GIS technology. Findings from the study show that: (1) The planting suitability of rice, soybean, and maize in the region is obviously different. Among them, the suitability level of soybean and maize is high, and that of rice is low. The current CLUL of the food crops needs to be further optimized and adjusted. (2) By optimizing the layout of rice, soybean, and maize, the planting suitability level of the food crops and the concentration level of the CLUL spatial pattern have been improved. (3) The plan for CLULA is formulated: The study area is divided into rice stable production area, maize-soybean rotation area, maize dominant area, and soybean dominant area, and town or village is identified as the implementation unit of CLULA. The plan for CLULA will be conducive to the concentrated farming of food crops according to the suitable natural conditions and management level. The research realized the optimization of spatial structure and cultivated land use patterns of different food crops integrating farming with protecting land. The significance of the study is that it provides a scientific basis and guidance for adjusting the regional planting structure and solving the problem of food structural imbalance.

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Research on the Impact of Information Network on Utilization Efficiency of Cultivated Land

Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018) ◽

10.2991/iceep-18.2018.99 ◽

2018 ◽

Author(s):

Yanjun Jiang ◽

Ying Huang

Keyword(s):

Utilization Efficiency ◽

Information Network ◽

Cultivated Land ◽

The Impact

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High-Resolution U-Net: Preserving Image Details for Cultivated Land Extraction

Sensors ◽

10.3390/s20154064 ◽

2020 ◽

Vol 20 (15) ◽

pp. 4064

Author(s):

Wenna Xu ◽

Xinping Deng ◽

Shanxin Guo ◽

Jinsong Chen ◽

Luyi Sun ◽

...

Keyword(s):

High Resolution ◽

Random Forest ◽

Land Cover ◽

Image Texture ◽

Support Vector ◽

Spectral Variation ◽

Cultivated Land ◽

Resource Monitoring ◽

K Nearest Neighbors ◽

Image Details

Accurate and efficient extraction of cultivated land data is of great significance for agricultural resource monitoring and national food security. Deep-learning-based classification of remote-sensing images overcomes the two difficulties of traditional learning methods (e.g., support vector machine (SVM), K-nearest neighbors (KNN), and random forest (RF)) when extracting the cultivated land: (1) the limited performance when extracting the same land-cover type with the high intra-class spectral variation, such as cultivated land with both vegetation and non-vegetation cover, and (2) the limited generalization ability for handling a large dataset to apply the model to different locations. However, the “pooling” process in most deep convolutional networks, which attempts to enlarge the sensing field of the kernel by involving the upscale process, leads to significant detail loss in the output, including the edges, gradients, and image texture details. To solve this problem, in this study we proposed a new end-to-end extraction algorithm, a high-resolution U-Net (HRU-Net), to preserve the image details by improving the skip connection structure and the loss function of the original U-Net. The proposed HRU-Net was tested in Xinjiang Province, China to extract the cultivated land from Landsat Thematic Mapper (TM) images. The result showed that the HRU-Net achieved better performance (Acc: 92.81%; kappa: 0.81; F1-score: 0.90) than the U-Net++ (Acc: 91.74%; kappa: 0.79; F1-score: 0.89), the original U-Net (Acc: 89.83%; kappa: 0.74; F1-score: 0.86), and the Random Forest model (Acc: 76.13%; kappa: 0.48; F1-score: 0.69). The robustness of the proposed model for the intra-class spectral variation and the accuracy of the edge details were also compared, and this showed that the HRU-Net obtained more accurate edge details and had less influence from the intra-class spectral variation. The model proposed in this study can be further applied to other land cover types that have more spectral diversity and require more details of extraction.

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Demography, Land Utilization and Livelihoods in Sarangkot Village Development Committee of Kaski District, Nepal

The Third Pole Journal of Geography Education ◽

10.3126/ttp.v13i0.11543 ◽

2014 ◽

Vol 13 ◽

pp. 22-32

Author(s):

Narayan P. Bhusal

Keyword(s):

Agricultural Production ◽

Poverty Alleviation ◽

Economic Welfare ◽

Cultivated Land ◽

Land Utilization ◽

Economic Activities ◽

Land Use Pattern ◽

Food Sufficiency ◽

Development Committee ◽

Village Development Committee

Poverty alleviation has always remained as a major challenge for overall development in Nepal and Sarangkot Village Development Committee (VDC) in Kaski district also is under such circumstances where tourism and other off farm economic activities would be the successful vehicles for overall development. Availability of better demographic conditions, sustainable agricultural production system and proper utilization of existing resources for the development of off-farm economic activities are the important livelihood assets. It is in this light this paper is trying to present the demographic conditions, land use pattern, agricultural production from the cultivated land, livestock raising and food sufficiency from the production of land in Sarangkot VDC. As the survey result indicated that the food sufficiency from the production of land is not sufficient in order to maintain the livelihood conditions of the local people. Therefore, this paper also deals about the available off-farm economic activities that are supporting for the economic welfare of the people.DOI: http://dx.doi.org/10.3126/ttp.v13i0.11543The Third Pole Vol. 13, 2013page : 22-32

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Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation

Land ◽

10.3390/land9120475 ◽

2020 ◽

Vol 9 (12) ◽

pp. 475 ◽

Cited By ~ 1

Author(s):

Xiao Lu ◽

Yi Qu ◽

Piling Sun ◽

Wei Yu ◽

Wenlong Peng

Keyword(s):

Land Use ◽

River Basin ◽

Yellow River ◽

Yellow River Basin ◽

Utilization Efficiency ◽

The Yellow River ◽

Efficiency Evaluation ◽

Cultivated Land ◽

Ecological Civilization ◽

The Yellow River Basin

Exploring the green transition of cultivated land use from the perspective of green utilization efficiency evaluation has become an important content of deepening the study of cultivated land use transition, which is of great significance to promote food security and ecological civilization construction. At present, there are few studies on the green utilization efficiency of cultivated land (GUECL), which covers the comprehensive benefits of economy, ecology and society, combined with the requirements of ecological civilization and green development. Taking 65 cities (regions and autonomous prefectures) of the Yellow River Basin as the basic evaluation unit, the GUECL of the Yellow River Basin is evaluated with a Super-SBM model. In general, the GUECL of the Yellow River Basin was not high at four time points of 2000, 2006, 2012 and 2018, which presents a trend of “rising first and then falling”. Analyzing its temporal and spatial evolution pattern, the GUECL in the upper, middle and lower reaches presented an order of the upper reaches area > the lower reaches area > the middle reaches area; and the spatial variation trend showed a decrease from west to east, and a U-shaped change in the south-north direction. Using spatial correlation analysis, except for the year 2000, the GUECL in the Yellow River Basin presents a general distribution characteristic of spatial agglomeration, which is positively correlated in 2006, 2012 and 2018. The change of spatio-temporal pattern is the result of internal and external factors. The former mainly displays in the main characteristics of farmers, family characteristics and farmers’ cognition, while the latter is reflected in natural, social and policy factors.

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