AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Interventional Pulmonology (middletown, de.)
Mitigation of water stress by the application of brassinosteroids (BRs) on seedlings of Eucalyptus tereticornis was undertaken in the screen house at CCS Haryana Agricultural University, Hisar. BRs are polyhydroxylated steroidal phyto-hormones, which play an important role in regulation of various plant growth and developmental processes. Keeping in view the future prospects of Eucalyptus tereticornis in agroforestry areas, the present study was carried out on the application of brassinosteroids for raising healthy seedlings for the purpose of plantations on private and public lands. At moisture level of field capacity, growth of plants was found maximum and it decreased as the water stress increased. Foliar application of 5 ppm of BRs at 75% moisture of field capacity, 10 ppm at 60% of field capacity and 20 ppm at 60% and 40% moisture levels were found most suitable to mitigate the water stress in Eucalyptus tereticornis.
As an important research subject in precision crop production and agroforestry, an optimized plant phenotype is a prerequisite for plant cultivation management and plant line design. Phenotype development and optimization is also a promising approach to adapt plant cultivation to future climate changes. To analyze the effects of biotic and abiotic stresses on plant phenotypes more accurately, A. thaliana was used as the research object in the early stage of this study. Numerous experimental observations and data analyses were carried out to create a dataset for the virtual growth model of A. thaliana that was simulated using by applying the logistic model. Based on the morphological model of A. thaliana, a dynamic model and visualization were created in this study. The leaf morphological structure model of A. thaliana was developed using the NURBS surface, and its stem model was constructed using OpenGL, which enabled us to construct the main organs model of A. thaliana. Moreover, a leaf editor was developed that could edit leaf traits at different growth periods. Finally, a visual simulation of the development process of A. thaliana from the seedling to maturity under different growth conditions was created, providing an effective approach for studying the effects of environmental stress factors on A. thaliana phenotypes. Our work can provide a theoretical framework for research on a virtual dynamic growth model system of general agricultural and forestry plants.
Domestication of wild species round the clock over millennium leads to high yielding varieties of crops well adapted to present growing conditions. Although, humans have benefited from modern technologies to improve agriculture capacities leads to higher production yet growing human population in 21st century needs feeds, cloth, shelter and fuels with limited land availability loaded with additional modern challenges, including climate change, abiotic and biotic stresses. Conventional plant breeding is continuous process focused towards satisfying global food security constrained by environmental calamities, linkage drag, narrow range and insufficiency of genetic diversity etc. De novo domestication through modern gene editing tools have facilitated the development of ideal engineered crops from wild species with desirable agronomic and productivity traits for universal food dependability and safety without loss of valuable genetic diversity. CRISPR/Cas-based gene editing tool intensify efficacy and efficiency of precise gene editing. It is viable tool that has elevated the likelihood of de novo domestication of wild species of crop plants resultant to ideal non-genetically modified crops that can accord to increased yield potential and biotic and abiotic stress resistant characters. De novo domestication helps in designing novel crop ideotype with retained biotic and abiotic stress potential of wild plant which generally losses due course of domestication, a major pitfall of traditional breeding. This review summarizes how de novo domestication through gene editing has been mobilized for trait improvement and harness useful alleles from wild species in different crops.
With the wide application of Internet of Things technologies, the apple harvesting method is transformed from manual to intelligent and automatic mode. The accurate apple recognition and localization in the orchard is the basic step for the automatic picking. However, most of the existing research focused on the one part of the detection system or just detection of apples in the orchard, which often lead to the not applicable in real-life environment or long computation time of detection. To meet these issue, an integrated framework for apple recognition and localization using deep learning and machine vision is proposed. Firstly, the two sided stereovision camera is configured to establish an automatic apple recognition and localization system. Secondly, the Yolo v3 algorithm is applied to fulfil the apple recognition target. Then, the three dimensional (3D) model reconstruction technology is used to achieve the apple localization goal. At last, a case from our lab is used to demonstrate the feasibility and effectiveness of the proposed method.
During the recent few decades educators and parents have emphasized on the special talents, needs and abilities of children. Therefore, solving problems in creative way is recognized as a major factor in achieving high educational aims which is only possible through creativity. Additionally, world requires innovators to solve global social, economic and environmental issues. Hence, both creativity and innovation have become areas of concern worldwide. Hence, the present study was designed in such a way to investigate the influence of home-environment related variables (number of siblings, birth order and land holding) on the young adolescents’ creativity. To achieve this aim, standardized Passi Test of Creativity (PTC, 2006) developed by B.K. Passi was implemented on 300 academically bright rural young adolescents (both boys and girls) aged between 12 and 14 years. Results findings elucidated significant differences in unusual uses flexibility across birth order of the adolescents. Unusual uses fluency, unusual uses flexibility and unusual uses creativity had significant differences across number of siblings. Highly significant differences were elucidated in young adolescents’ inquisitiveness level.