Forages for the Red Soils Area of China - Proceedings of an International Workshop, Jianyang, Fujian Province, P. R. China, 6–9 October 1997

Crop Production/Industries,

A Novel Four-Dimensional Energy-Saving and Emission-Reduction System and Its Linear Feedback Control

This paper reports a new four-dimensional energy-saving and emission-reduction chaotic system. The system is obtained in accordance with the complicated relationship between energy saving and emission reduction, carbon emission, economic growth, and new energy development. The dynamics behavior of the system will be analyzed by means of Lyapunov exponents and equilibrium points. Linear feedback control methods are used to suppress chaos to unstable equilibrium. Numerical simulations are presented to show these results

Application of 640-Volume CT in Idiopathic Pulmonary Hemosiderosis in Adults

Objective: To have a deep understanding about idiopathic pulmonary hemosiderosis (IPH). Methods: Clinical and imaging data of 6 patients of IPH in adults were collected and analyzed. Results: Imaging findings must be combined with clinical laboratory examination to make a diagnosis of IPH. Transbronchial lung biopsy (TBLB) is the gold standard for evaluation of suspected patients. Conclusion: IPH is extremely rare amid adults, and imaging results on single chest CT are nonspecific. The longitudinal follow-up is critical for diagnosis and posttreatment evaluation

Dynamics of pedogenic carbonate in the cropland of the North China Plain : Influences of intensive cropping and salinization

This research was supported by the National Natural Science Foundation of China (41877028). The input of Pete Smith contributes to the UK-China Virtual Joint Centre on Nitrogen, N-Circle (BB/N013484/1), funded under the Newton Fund, and the NERC-funded project Soils-R-GRREAT (NE/P019455/1). The authors have no conflict of interest to declare.Peer reviewedPostprin

Object-Oriented Classification of Hyperspectral Remote Sensing Images Based on Genetic Algorithm and Support Vector Machine

This paper proposes a method of reducing dimensions based on genetic algorithm and object-oriented classification based on support vector machine (SVM). The basic idea is subspace decomposition of hyperspectral images at first, then selecting suitable bands in each subspace by using genetic algorithm and putting all selected bands of each subspace together. Furthermore, the hyperspectral image is segmented into a series of objects and then the spectral features and spatial features of objects in the selected bands are extracted. Finally, SVM classification is used according to features of the objects. The algorithm proposed is more effective and superior in dimension reduction and classification of hyperspectral image

Impacts of Land Use and Salinization on Soil Inorganic and Organic Carbon in the Middle-lower Yellow River Delta

ACKNOWLEDGEMENTS This study was financially supported by the National Natural Science Foundation of China (Nos. 41877028 and 41205104). This work also contributes to the activities of N-Circle projects, a UK-China Virtual Joint Centre on Nitrogen, funded by the Newton Fund via Biotechnology and Biological Sciences Research Council (BBSRC) (No. BB/N013484/1Peer reviewedPostprin

Application Potentials of Plant Growth Promoting Rhizobacteria and Fungi as an Alternative to Conventional Weed Control Methods

Weeds are the plants usually grown on unwanted places and are notorious for causing interruptions in agricultural settings. Remarkable yield losses have been reported in fields infested with weeds worldwide. So far, these weeds cause about 34% of losses to yields of major agricultural crops and pose threats to economic condition of the farmers. Conventionally, weed control was achieved by the use of chemical herbicides and traditional agronomic practices. But these methods are no more sustainable as the magnitude of threats imposed by these conventionally outdated methods such as chemical herbicides is greater than the benefits achieved and their continuous use has disturbed biodiversity and weed ecology along with herbicide resistance in some weeds. Herbicide residues are held responsible for human health hazards as well. Therefore the future of weed control is to rely on alternative approaches which may be biological agents such as bacteria and fungi. This chapter highlights the potentials of using bacterial and fungal biocontrol agents against weeds in farmer fields. Moreover, detailed review on merits and demerits of conventional weed control methods is discussed in this chapter

Long-term straw incorporation significantly reduced subsoil organic carbon stock in cinnamon soil

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