Application of Big Data Analysis to Agricultural Production, Agricultural Product Marketing, and Influencing Factors in Intelligent Agriculture

Agricultural Internet of things (AIoT) promotes the modernization of traditional agricultural production and marketing model. However, the existing time series prediction methods for agricultural production and agricultural product (AP) marketing cannot adapt well to most real-world scenarios, failing to realize multistep forecast of production and AP marketing data. To solve the problem, this paper explores the big data analysis of agricultural production, AP marketing, and influencing factors in intelligent agriculture. To realize long-, and short-term predictions, a small-sample time series model was set up for AIoT production, and a big-sample time series model was constructed for AP marketing. The data fusion algorithm based on Kalman filter (KF) was adopted to fuse the massive multi-source AP marketing data. The proposed strategy was proved valid through experiments

Design and implementation a network mobile application for plants shopping center using QR code

During the revolution of developing mobile phone applications, they can be used in different fields like business, health, transportation, communications and tourism, and other uses. This paper presents QR based information management system for plants shopping centers. This system includes two main sides: mobile and server. The proposed application is used as a substitute for the human guide that each visitor needs in the plants shopping center. The complete information can be provided on any seedling displayed in the shop depending on the QR code technology. Each branch of the same enterprise includes sub-server that is linked to the main server using a private computer network. The server side contains information of all plants and all branches for such enterprise in the form of text and image in different languages. The proposed application facilitates the movement of the customer inside the place, the ease in preparing bills electronically that helps the visitor to save the time of queue to preparing the bill and paying. The proposed system is tested over different case studies to prove the efficiency in terms of information and selling management

Do Natural and Technological approaches have any impact on Agri-farms?

Agriculture’s considerable role in the existence of mankind has been offset by its significant contribution to the deterioration of the natural ecology due to factors such as, the expanded use of the land surface and the use of technologies to enhance food production. Accordingly, there is a perceived need to examine how sustainability in this domain can be enhanced and promoted. Relatedly, the domain is advancing in the use of digitalization such as, Artificial Intelligence (AI) tools and techniques. This research paper theorised that the implementation of natural and technological approaches can affect economic and sustainability outcomes in agriculture. Research related to different agricultural practices revealed that permaculture and digital solutions can facilitate achieving sustainability and economic goals in agriculture. Furthermore, an empirical investigation using the case of a Bangalore-based company (Hosachiguru), which provides managed farm plots, indicated that natural and technological practices, in combination, supported economic and sustainable outcomes