Modelling transmission and control of Toxoplasma gondii in New Zealand farmland by Rachelle N. Binny, Graham J. Hickling, Alex James, Chris N. Niebuhr

“…In New Zealand’s rural environments, T. gondii creates economic losses for the farming industry and threatens vulnerable native avifauna and marine mammals. …”
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Evaluation of Technical Aspects of Solar Photovoltaic (PV) Power Installations on Farmland by Lorenzo Sabino, Rafiq Asghar, Fabio Crescimbini, Francesco Riganti Fulginei

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2010 Florida Land Value Survey: Farmland Prices Still Down by Rodney L. Clouser, Charles Moss, Ronald Muraro, Laila Racevskis, Robert A. Morris

“…It is apparent from the survey responses that the recessionary U.S. and Florida economies, the slower rate of Florida’s population growth, and the decline in the Florida housing construction industry continue to be reflected in a further decline in most Florida farmland values. …”
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2010 Florida Land Value Survey: Farmland Prices Still Down by Rodney L. Clouser, Charles Moss, Ronald Muraro, Laila Racevskis, Robert A. Morris

“…It is apparent from the survey responses that the recessionary U.S. and Florida economies, the slower rate of Florida’s population growth, and the decline in the Florida housing construction industry continue to be reflected in a further decline in most Florida farmland values. …”
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Hyperspectral inversion of heavy metal content in farmland soil under conservation tillage of black soils by Yanan Chen, Wanying Shi, Guzailinuer Aihemaitijiang, Feng Zhang, Jiquan Zhang, Yichen Zhang, Dianqi Pan, Jinying Li

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Interaction of Straw Mulching and Nitrogen Fertilization on Ammonia Volatilization from Oilseed Rape–Maize Rotation System in Sloping Farmland in Southwestern China by Li Yao, Hong Wang, Haitao Liu, Xie Wang, Yueying Wu, Lin Wang, Honglin Chen, Chaowen Lin

“…It remains to be investigated how management strategies should be adopted to not only reduce NH₃ volatilization but also improve nitrogen use efficiency (NUE) in the agriculture industry at present. Hence, a two-year field trial, including subplots, was conducted to simultaneously evaluate the effects of mulching treatments (NM: non-mulching; SM: straw mulching) and different fertilizer treatments (U: urea; U + NBPT: urea plus 1% N-(n-butyl) thiophosphoric triamide; U + CRU: the mixture of urea and controlled-release urea at a 3:7 ratio; U + OF: urea plus commercial organic fertilizer at a 3:7 ratio) on NH₃ volatilization, crop production, and NUE in an oilseed rape–maize rotation system in the sloping farmland of purple soil in southwestern China between 2021 and 2023. …”
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Study on Key Influencing Factors of Carbon Emissions from Farmland Resource Utilization in Northeast China Under the Background of Energy Conservation and Emission Reduction by Mulin Sun, Yuhao Fu, Mingyao Sun, Run Huang, Yun Teng

“…The industrial structure of farmland, the level of economic development, and the level of urbanization contribute to carbon emissions from the use of farmland resources. (4) The efficiency of farmland use, the regional industrial structure, and the size of the labor force inhibit the carbon emissions from the use of farmland. …”
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A review of The Political Economy of Agribusiness: A Critical Development Perspective by Nil Alt

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Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm by Lingxiao Liu

“…Due to the complexity and importance of optimizing and adjusting the crop planting structure in the Jianghuai hilly Tangba irrigation area between the upper reaches of the Huaihe River from Xinyang to the lower reaches of the Huaihe River in China, and based on experimental results from the Feidong Badou Irrigation Experiment Station, the farmland was modeled using rainfall and runoff data from the Tangba irrigation area. …”
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Quantitative analysis and risk assessment of heavy metal pollution in an intensive industrial and agricultural region by Tao Wen, Yibo Cheng, Yali Yuan, Ruilian Sun

“…The results show that (1) lead (Pb) and cadmium (Cd) in the soil may originate from industrial-traffic mixed pollution sources in the surrounding industrial park, whereas copper (Cu) is derived from agricultural pollution sources in the southern farmland. (2) Pollution is primarily concentrated in the central and northern regions of the study area. …”
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A Reliable Medium for Monitoring Atmospheric Deposition near Emission Sources by Using Snow from Agricultural Areas by Jiayang Liu, Zaijin Sun, Wenkai Lei, Jingwen Xu, Qian Sun, Zhicheng Shen, Yixuan Lyu, Huading Shi, Ying Zhou, Lan Zhang, Zefeng Wu, Yuepeng Pan

“…To investigate the rationality of this method, 52 snow samples were collected from sites surrounding smelting plants in Anyang, an industrial region of North China. The results revealed that the concentration of cadmium in the melted snow ranged between 0.03 and 41.09 μg/L, with mean values three times higher around the industrial sites (5.31 μg/L) than background farmlands (1.54 μg/L). …”
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Pests Phototactic Rhythm Driven Solar Insecticidal Lamp Device Evolution: Mathematical Model Preliminary Result and Future Directions by Heyang Yao, Lei Shu, Wei Lin, Kai Huang, Miguel Martinez-Garcia, Xiuguo Zou

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Investigation of taxonomic shrub resources in Qiqihar and analysis of their economic potentiality by CUI Lin, ZHANG Qiang, WANG Ligang, ZHANG Yuzhu, HAN Qin, JIANG Xiancui

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ViT-ISRGAN: A High-Quality Super-Resolution Reconstruction Method for Multispectral Remote Sensing Images by Yifeng Yang, Hengqian Zhao, Xiadan Huangfu, Zihan Li, Pan Wang

“…Currently, monitoring refined industries and extracting regional information necessitate higher-resolution remote sensing images. …”
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Spatial and Temporal Variation Characteristics of Forests and Analysis of Potential for Reconstruction of Water Conservation Forests in the Dongjiang River Basin from 1980 to 2020 by DAI Miaolin, LU Xiaoqi, ZANG Chuanfu, ZHU Ke, QIU Xintong, LUO Yiwen, ZHANG Weiqiang, GAN Xianhua

“…The Dongjiang River is the most important water source area in the Guangdong-Hong Kong-Macao Greater Bay Area,supplying water for the three mega-cities of Hong Kong,Shenzhen,and Guangzhou.The Dongjiang River Basin has abundant light and heat resources and sufficient rainfall,and it is one of the regions with the highest forest coverage rate in China.Since 1980,the land cover,especially the forest with the largest proportion in the Dongjiang River Basin,has changed significantly in the Dongjiang River Basin under the influence of natural factors,policy,and economic development.Therefore,how to scientifically plan and design afforestation projects and transform water conservation forests according to potential has become a hot social issue.The study was based on 30 m resolution land use and soil data of the Dongjiang River Basin from 1980 to 2020,and it combined with the data of Dongjiang River Source station and socio-economic index data.The study used spatial analysis and factor analysis to explore the spatial-temporal changes and driving mechanisms of forest cover in the Dongjiang River Basin from 1980 to 2020 and analyze the potential of water conservation forest reconstruction in the future.① From 1980 to 2020,the forest decreased continuously in the Dongjiang River Basin,with a total reduction of 998.81 km².The changes were mainly concentrated in the south and north of the Dongjiang River Basin.In the northern part of the basin,a great deal of forest has been transformed into farmland,while in the southern part of the basin,a great deal of forest has been transformed into cities and countrysides or areas for industry,mining,and housing.② In the period of 1980—2020,the main factors affecting the change of forest area were the number of permanent residents,population density,GDP,output value of secondary and tertiary industries,output value of industry,agriculture,and forestry,total retail sales of social consumer goods,investment in fixed assets,and urban registered unemployment rate.③ The area for future reconstruction in the Dongjiang River Basin was 5 365 km².The areas with high potential for reconstruction were mainly in the north and southeast parts of the basin.In the past 40 years,the forest area of the Dongjiang River Basin has continued to decrease and is strongly influenced by human activities.Water conservation forest has great potential to be transformed.…”
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Designing Landscape of Urban Gardening Based on Optimized Artificial Intelligence Model by Long Liu

“…In the target year, the dominant landscape of economic development scenario is urban and orchards, and the landscape pattern shows the distribution characteristics of urban, farmland in the western dam area, and orchards in the eastern mountainous area; the dominant landscape of ecological protection scenario is forest, urban, and rural residential and industrial mining; and the landscape pattern shows the distribution characteristics of urban and rural residential and industrial mining, orchards, farmland in the western dam area, and forest in the eastern mountainous area. …”
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Spatio-Temporal Evolution of Water Consumption and Water Utilization Structure in Pearl River District by XUE Jiao, LIU Xiyan, XU Zheng, HAN Yaxin

“…In terms of population, GDP, industrial added value, and actual irrigated area of farmland, population and actual irrigated area of farmland are the main driving factors for water consumption and water utilization structure changes. …”
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Mine Land Reclamation and Eco-Reconstruction in Shanxi Province I: Mine Land Reclamation Model by Hao Bing-yuan, Kang Li-xun

“…However because of the heavy development of the coal resource, the ecological environment is worsening and the farmland is reducing continuously in Shanxi Province. …”
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The response of soil microbial community to application of organic amendment to saline land by Peifei Cong, Peifei Cong, Peifei Cong, Pengfei Huang, Zhisheng Huang, Zhisheng Huang, Zhisheng Huang, Zhisheng Huang

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Study on the evolution of the spatial patterns and driving factors of national agricultural cultural heritage in China. by Lifei Xu, Yuyu Liao, Jun Liu

“…The types of national agricultural cultural heritage are diverse and rich, involving farmland landscapes, composite systems, crop varieties, vegetables and melons, tea, forest fruits, special products, farmland irrigation, and animal breeding, in which forest and fruit class heritage site dominate. ②From a regional perspective, the spatial distribution of China's national agricultural cultural heritage varies greatly, with strong national and regional characteristics. …”
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