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Effect of Some Physical Factors on Interrill Erosion of Soils in Gidan-Kwanu Area, Nigeria

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Journal of Environmental Protection 2024年第4期15卷 475-484页

作者： Ebierin Akpoebidimiyen Otuaro John Jiya Musa Micheal Abolarin Department of Civil Engineering Faculty of Engineering Maritime University Okerenkoko Nigeria Department of Agriculture and Bioresources Engineering Federal University of Technology Minna Nigeria

Savanna regions in Nigeria face environmental degradation and barren land, negatively impacting food and agricultural productivity. Inter-rill erosion occurs due to raindrop impact and transport, particularly on hill slopes. A study was conducted using a sprinkler rainfall simulator and plot experiment to study soil erosion processes. Soil samples were collected from four farms in Gidan Kwanu, with varying moisture content. Sand content ranged from 46.0% to 76.20%, silt from 11.30% to 23.50%, and clay from 11.0% to 30.0%. Uncultivated and bare land had a higher average porosity (15.47% and 14.99%), while cultivated land had lower porosity (14.4%). The study found that most people in Gidan-Kwanu primarily practice farming, which is season-dependent and rain-fed. Soil type and texture significantly contribute to inter-rill erosion, with cultivated and uncultivated soil being more resistant to erosion than bare land soil. The study concluded that farming practices in Gidan-Kwanu are primarily season-dependent and rain-fed. Soil type and texture significantly contribute to inter-rill erosion, with cultivated and uncultivated soil being more resistant to erosion than bare land soil.

关键词： Agriculture Erosion farming Porosity Soil

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耕读文化语境下徽州传统村落的传承与发展

Dairy farming in China at a crossroad

设计 2024年第2期9卷 186-191页

作者：沈绪敏南京林业大学艺术设计学院，江苏南京

在耕读文化语境下，本文选取以徽州地区为代表的传统村落为研究对象，对徽州地区耕读文化历史探寻并促进耕读文化的传承与发展。研究得出耕读文化下徽州地区传统村落具有重要的宗族民俗文化研究、村落营造美学研究和旅游研学研究价值，... 详细信息

在耕读文化语境下，本文选取以徽州地区为代表的传统村落为研究对象，对徽州地区耕读文化历史探寻并促进耕读文化的传承与发展。研究得出耕读文化下徽州地区传统村落具有重要的宗族民俗文化研究、村落营造美学研究和旅游研学研究价值，发现现存耕读村落存在耕读文化资源保护的重要性认识有待提高、旅游开发模式有待发展和人文价值逐渐消弱的问题。提出耕读村落传承和发展的设计策略——强化生态环境和历史人文遗产保护意识、科学规划促进耕读文化的繁荣以及打造耕读研学基地，加大品牌宣传，由此为新时代乡村振兴视野下促进传统耕读村落内在文化特征的发掘、保护与合理有效利用提供理论参考和实践创新思路。

关键词：耕读文化徽州地区耕读村落文化景观耕读研学 farming and Reading Culture Huizhou Region farming and Reading Villages Cultural Landscape farming Studying and Researching

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Science Bulletin 2018年第23期63卷 1534-1535页

作者： Jun Zhao Zhaohai Bai Lin Ma Key Laboratory of Agricultural Water Resources Center for Agricultural Resources Research Institute of Genetic and Developmental Biology Chinese Academy of Sciences

The self-sufficiency of China's milk declined rapidly from 100% in 2008 to 60% in 2017,and may decline to 33% in 2050 according to a recent research [1].China's domestic milk production increased by 10 times between 1988 and 2008,but has remained unchanged since the well-known melamine scandal in 2008.This was due to a great variety of reasons,such as market malfunction, insufficient scientific and technological innovation system,as well as high cost of dairy production itself.

关键词： Dairy farming Chinese milk melamine

Characterizing the Exposome of Food Contamination and China Total Diet Study: Project for Improving Food Safety Risk Assessment in China

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China CDC weekly 2022年第9期4卷 157-160,I0001页

作者： Bing Lyu Jingguang Li Yongning Wu NHC Key Laboratory of Food Safety Risk Assessment Chinese Academy of Medical Sciences Research Unit(No.2019RU014)China National Center for Food Safety Risk AssessmentBeijingChina

Over the past 30 years,China,as a developing country with a huge population and large geographical heterogeneity,has made a big leap from a shortage of food to basically the elimination of hunger.However,there has been a challenge moving from traditional agriculture and farming practices with numerous small food businesses and short supply chains to larger scale production and longer supply chains.Ensuring an adequate supply of safe,nutritious,high-quality food requires regulatory oversight based on scientific evidence.With the global distribution of human food and ingredients,this is a shared challenge internationally.The only way to steadily improve the food safety situation globally and in China is to follow the risk analysis framework with the joint efforts of all stakeholders(1).Since 2009,the Chinese risk assessment system has been developed in accordance with the Food Safety Law of the People’s Republic of China.

关键词： chains globally farming

GIS-based irrigation water management for precision farming of rice

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International Journal of Agricultural and Biological Engineering 2010年第3期3卷 27-35页

作者： Rowshon M K Amin M S M Department of Biological and Agricultural Engineering Faculty of EngineeringUniversiti Putra Malaysia43400 UPM Sri SerdangSelangor DEMalaysia

Precision farming aims to manage production inputs over many small management zones rather than on large zones.It is difficult to manage inputs at extremely fine scales,especially in the case of the rice irrigation system.However,site-specific irrigation management can potentially improve the overall water management in comparison to irrigated areas of hundreds of hectares.A critical element of the irrigation scheduling and management is the accurate estimation of irrigation supplies and its proper allocation for the irrigation offtake structures based on the actual planted areas.All irrigation scheduling procedures consist of monitoring indicators that determine the need for irrigation.The final decision depends on the irrigation criterion,strategy and goal.Irrigation scheduling is the decision of when and how much water to apply to a field.The amount of water applied is determined by using a criterion to determine irrigation need and a strategy to prescribe how much water to apply in any situation.The right amount of daily irrigation supply and monitoring at the right time within the discrete irrigation unit is essential to improve the irrigation water management of a scheme.This paper presents the GIS capability to achieve the goal in the view of irrigation strategy and goal with special reference to precision farming of rice.The GIS-based water management model was developed for the scheduling daily irrigation water deliveries and regular monitoring of irrigation delivery performance.The“Scheduling”program computes the right amount of irrigation deliveries based on crop water requirements.The“Monitoring”program gives information on the uniformity of water distribution and the shortfall or excess.The displayed results allow the manager to view maps,tables and graphs in a comprehensible form to ease decision making that where the irrigation amount will be delivered as the season progresses.GIS was used as a useful tool to assist the irrigation water management program in the context of precision farming.

关键词： irrigation monitoring precision farming rice GIS

Examining the interplay between artificial intelligence and the agri-food industry

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Artificial Intelligence in Agriculture 2022年第1期6卷 111-128页

作者： Abderahman Rejeb Karim Rejeb Suhaiza Zailani John G.Keogh Andrea Appolloni Department of Management and Law Faculty of EconomicsUniversity of Rome Tor VergataVia Columbia2Rome 00133Italy Faculty of Sciences of Bizerte University of CarthageTunisTunisia Department of Management Faculty of Business and EconomicsUniversity MalayaKuala Lumpur50203Malaysia Henley Business School University of ReadingGreenlandsHenley-on-Thames RG93AUUK

Artificial intelligence(AI)has advanced at an astounding rate and transformed numerous economic sectors.Nevertheless,a comprehensive understanding of how AI can improve the agri-food industry is lacking.In addition,there is a notable dearth of research on AI that investigates the influence of AI on agri-food resources and educates practitioners on the significance of knowledge-based and smart agriculture.We utilised bibliometric analysis to investigate the present state of the art and emerging trends in the relationship between AI and the agri-food industry.The research identified three distinct growth phases and the most prevalent AI strategies in the industry.In addition,we analysed key trends and offered researchers and practitioners insightful recommendations for future research.Using resource-based view(RBV)as the theoretical lens,this study established a framework emphasising the long-term effects of AI on various agri-food resources and proposed several research propositions.In addition,AI-related obstacles have been identified and categorised into four major categories.Lastly,the originality of the article lies in its numerous research suggestions and recommendations for advancing the AI field in the agri-food industry.

关键词： Artificial intelligence Agriculture farming Machine learning Deep learning Bibliometric analysis Resource-based view

Review on the fully mulched ridge–furrow system for sustainable maize production on the semi-arid Loess Plateau

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Journal of Integrative Agriculture 2023年第5期22卷 1277-1290页

作者： WANG Jin-bin XIE Jun-hong LI Ling-ling ADINGO Samuel State Key Laboratory of Aridland Crop Science/College of Agronomy Gansu Agricultural UniversityLanzhou 730070P.R.China College of Forestry Gansu Agricultural UniversityLanzhou 730070P.R.China Faculty of Applied Sciences University for Development StudiesNavrongo-Upper East 00233Ghana

The fully mulched ridge–furrow(FMRF) system has been widely used on the semi-arid Loess Plateau of China due to its high maize(Zea mays L.) productivity and rainfall use efficiency. However, high outputs under this system led to a depletion of soil moisture and soil nutrients, which reduces its sustainability in the long run. Therefore, it is necessary to optimize the system for the sustainable development of agriculture. The development, yield-increasing mechanisms,negative impacts, optimization, and their relations in the FMRF system are reviewed in this paper. We suggest using grain and forage maize varieties instead of regular maize;mulching plastic film in autumn or leaving the mulch after maize harvesting until the next spring, and then removing the old film and mulching new film;combining reduced/notillage with straw return;utilizing crop rotation or intercropping with winter canola(Brassica campestris L.), millet(Setaria italica), or oilseed flax(Linum usitatissimum L.);reducing nitrogen fertilizer and partially replacing chemical fertilizer with organic fertilizer;using biodegradable or weather-resistant film;and implementing mechanized production. These integrations help to establish an environmentally friendly, high quality, and sustainable agricultural system, promote highquality development of dryland farming, and create new opportunities for agricultural development in the semi-arid Loess Plateau.

关键词： fully mulched ridge–furrow system semi-arid Loess Plateau maize productivity farming system sustainability

Hybrid Deep Learning Method for Diagnosis of Cucurbita Leaf Diseases

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Computer Systems Science & Engineering 2023年第3期44卷 2585-2601页

作者： V.Nirmala B.Gomathy M.Kumarasamy College of Engineering KarurTamilnaduIndia K.P.R.Institute of Technology CoimbatoreTamilnaduIndia

In agricultural engineering,the main challenge is on methodologies used for disease detection.The manual methods depend on the experience of the personal.Due to large variation in environmental condition,disease diagnosis and classification becomes a challenging task.Apart from the disease,the leaves are affected by climate changes which is hard for the image processing method to discriminate the disease from the other background.In Cucurbita gourd family,the disease severity examination of leaf samples through computer vision,and deep learning methodologies have gained popularity in recent years.In this paper,a hybrid method based on Convolutional Neural Network(CNN)is proposed for automatic pumpkin leaf image classification.The Proposed Denoising and deep Convolutional Neural Network(CNN)method enhances the Pumpkin Leaf Pre-processing and diagnosis.Real time data base was used for training and testing of the proposed work.Investigation on existing pre-trained network Alexnet and googlenet was investigated is done to evaluate the performance of the pro-posed method.The system and computer simulations were performed using Matlab tool.

关键词： Cucurbita farming disease diagnosis classification Convolutional Neural Network(CNN) preprocessing deep learning

Soil Erosion of Various farming Systems in Subtropical China

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Pedosphere 1994年第3期4卷 225-233页

作者： ZHANG BIN, ZHANG TAOLIN and ZHAO QIGUO(Institute of Soil Science, Academza Sznzca, P.O. Boz 821, Nanjing 210008(China))

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关键词： agroforest system farming system red soil soil erosion