An effective identification of crop diseases using faster region based convolutional neural network and expert systems

The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop

Tango of celestial dancers: A sample of detached eclipsing binary systems containing g-mode pulsating components. A case study of KIC9850387

Context. Eclipsing binary systems with components that pulsate in gravity modes (g modes) allow for simultaneous and independent constraints of the chemical mixing profiles of stars. The high precision of the dynamical masses and radii as well as the imposition of identical initial chemical compositions and equivalent ages provide strong constraints during the modelling of g-mode period-spacing patterns. Aims. We aim to assemble a sample of g-mode pulsators in detached eclipsing binaries with the purpose of finding good candidates for future evolutionary and asteroseismic modelling. In addition, we present a case study of the eclipsing binary KIC9850387, identified as our most promising candidate, and detail the results of the observational spectroscopic, photometric, and asteroseismic analysis of the system. Methods. We selected all of the detached eclipsing binaries in the Kepler eclipsing binary catalogue with Kepler Input Catalogue (KIC) temperatures between 6000 K and 10 000 K, and performed a visual inspection to determine the presence and density of g modes, and the presence of g-mode period-spacing patterns in their frequency spectra. We then characterised our sample based on their g-mode pulsational parameters and binary and atmospheric parameters. A spectroscopic follow-up of our most promising candidate was then performed, and the orbital elements of the system were extracted. We then performed spectral disentangling followed by atmospheric modelling and abundance analysis for the primary star. We utilised an iterative approach to simultaneously optimise the pulsational and eclipse models, and subsequently performed an analysis of the pressure- (p-) and g-mode pulsational frequencies. Results. We compiled a sample of 93 Kepler eclipsing binary stars with g-mode pulsating components and identified clear g-mode period-spacing patterns in the frequency spectra of seven of these systems. We also identified 11 systems that contained hybrid p- and g-mode pulsators. We found that the g-mode pulsational parameters and the binary and atmospheric parameters of our sample are weakly correlated at best, as expected for detached main-sequence binaries. We find that the eclipsing binary KIC9850387 is a double-lined spectroscopic binary in a near-circular orbit with a hybrid p- and g-mode pulsating primary with M_p = 1.66_(−0.01)^(+0.01) M⊙ and R_p = 2.154_(−0.004)^(+0.002) R⊙, and a solar-like secondary with M_s = 1.062_(−0.005)^(+0.003) M⊙ and R_s = 1.081_(−0.002)^(+0.003) R⊙. We find ℓ = 1 and ℓ = 2 period-spacing patterns in the frequency spectrum of KIC9850387 spanning more than ten radial orders each, which will allow for stringent constraints of stellar structure during future asteroseismic modelling

E-grocery challenges and remedies: Global market leaders perspective

The purpose of the study is to identify logistic elements germane to e-grocery businesses, and to reveal the challenges collateral with each logistic element. Further, it strives to create a better understanding of specific remedies that have been employed by top e-grocery retailers to overcome existing challenges while aligning identified challenges with Turban’s framework. Extensive semi-structured interviews were conducted with management staff in three of the top ten global online grocery retailers and another that was a market leader in a European country. The qualitative data collected was transcribed and coded using a non-hierarchical axial coding to identify emerging themes in content analysis. The results expose a range of challenges that could be compartmentalised into three broad categories, in harmony with the different stages of the order fulfilment process. Interestingly, the study found that most challenges were operational rather than tactical or strategic in nature. While the study expands existing knowledge, its revelation that most challenges lie in the management of roles and responsibilities domain is instructive. This makes it imperative for practitioners to focus on this specific area if meaningful improvement in e-grocery retailing performance is to be realised. This research offers a systematic understanding of supply and distribution challenges, including remedies utilised to ameliorate the effect of the challenges from the perspectives of the top companies in the industry. These remedies can be invaluable for existing and emerging e-grocers

Observed and simulated responses of two sorghum cultivars to different water regimes

The responses to different water treatments of two sorghum (Sorghum bicolor (L.) Moench) cultivars, a hybrid (CSH 8) and a local variety (M 35-1), were studied on an Alfisol (Udic Rhodustalfs) at ICRISAT Centre, Patancheru during the post-rainy seasons of 1979/1980 and 1980/1981. Two water treatments, irrigated and drought-stress, were created by applying water five or three times during each of the growing seasons. Observed responses were compared with the simulated data using the sorghum simulation model SORGF. Neither observed nor simulated durations of growth stages were affected by drought-stress. Comparisons between observed and simulated duration of growth stages showed that the model simulated phenological development with good accuracy. Drought-stress coefficient calculations were based on the availability of water in the soil profile; simulated drought-stress coefficients agreed well with observed values. Observed and simulated grain yields of CSH 8 were higher than those of M 35-1 under both the irrigated and drought-stressed conditions. The correlation coefficients between observed and simulated total dry matter and grain yield data pooled over two water treatments, two cultivars, and two seasons were respectively 0.80 and 0.92. Comparisons between observed and simulated reductions in TDM and grain yield showed that the model is sufficiently sensitive to simulate the response of sorghum to drought-stres

Modeling the Effect of Environmental Factors on sorghum Growth and Development

The yrelds ofrarnledsorghumrn the semr-arid regions in general are low and vary from year to year. An understanding of the interactions between the physical environment and the genotype is important to Increase and stabilize production of sorghum. This information, through the systems-simulation approach could be used to model sorghum growth and development. The gran sorghum growth simulation model-SORGF-was used as the basis to evaluate crop weather interactions. A multilocation study was conducted in India over a period of 4 years to evaluate the growth and development of selected sorghum genotypes of varying maturity durations. Preliminary results suggested that several subroutines of the SORGF model needed modrbcatrons to simulate accurately the effect of environmental factors. Algorithms of the SORGF model dealing with light interception, phenology, leaf senescence, sol1 water, and total dry matter accumulalron and its partitioning to grain have been revised The improvement resulting from the revisions made rn each of the above subroutrnes are compared wrlh the freld data and the simulationes sults olthe ongrnalSORGF model The use of the SORGF model for rrrrgatron scheduling and lrrst-order screenrng of envrronments lor sorghum producoon are illustrate

Media Management Tools: UK broadcast media executives’ perspective

The UK broadcast media landscape provides an interesting context to understand and explore the competitive dynamics of media organisations’. As an industry characterised by uncertainty and turbulence, this paper considers the process by which broadcast media organisations develop their strategies and the type of analytical tools that they use to underpin this process. This paper presents the findings of a survey of UK broadcast media executives and their views on the outlook for the UK Media Industry; the influence that the competitive environment has on developing media strategy; and the management tools that they use and their levels of satisfaction with these tools. It concludes that UK broadcast media is a competitive and turbulent environment, and that media strategy is developed using a number of media management tools that have varying degrees of success in terms of helping broadcast media executives to manage their media organisations’ in uncertain and complex conditions

Acceptance of shari?ah-compliant precious metal-backed cryptocurrency as an alternative currency: an empirical validation of adoption of innovation theory

In the crypto world, there is a proverbial (and literal) gold rush now occurring. Currently, more than 37 gold-backed cryptocurrency companies have now emerged. Interestingly, some of them also claim to be Sharīʿah-compliant. Introducing precious metal-backed cryptocurrencies is perceived to be an innovation among global payment systems, hampered in part by lack of supporting empirical evidence. Therefore, this research investigates potential users' tendency to adopt a Sharīʿah-compliant precious metal-backed cryptocurrency. As such, this study adopts an extended adoption model, which consists of eight factors. Partial least squares structural equation modeling (PLS-SEM) analysis was conducted on data elicited from economic active residents in Klang Valley from questionnaires. Overall, it was found six out of the eight constructs specified to influence the adoption of precious metal-backed cryptocurrency were statistically significant where 54.5% of the variation in adoption of PMBC can be explained by the structure model provided by this research. It was also found 63.55% of the respondents are willing to adopt precious metal-backed cryptocurrency in their future transactions