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Personal knowledge of the agricultural cycle the current agribusiness than any other age is more concerned about the information, accuracy and prospects. Based on Internet of Things (IoT), rapid development innovative things has reviewed virtually every industry, including smart agribusiness; the company has transformed its business from quantitative methods. This gradual change has shaken the current comprehensive agricultural technology and open new doors in the problematic border. This article describes the remote sensor and the IoT horticulture functions. The meet up with this innovative farming regular rehearsal, face the challenge to expect. Let's take a closer look at IoT gadgets, gadgets and how to deal with applications related to agriculture experienced remote sensors. Record the sensor in precise agricultural applications can access, such as soil preparations, crop conditions, water systems, insects and irritation testing from planting to harvesting stage throughout the harvesting, crushing and transport, innovative ways to help growers become more and more apparent. This method also considers crop scouting and other significant applications, such as using an automated aircraft to increase crop yields. In justified cases, it will introduce different things and the best model based on the agriculture stage. Finally, according to the in-depth study, goal will recognize agribusiness in the flow of things and a future model and respond to potential research challenges. This article also describes another gain awareness and ideal for the application, such as increasing the use of 5 G network support production. Finally, after careful research to understand the fate of the power of agribusiness and remote sensor model, and potential research model to respond to the challenge. Frame configuration and have a valid attempt Field Programmable Gate Array (FPGA) by site kit. Goal need to consider the speed and the rationalization of the regional planning framework.

Emotions play a significant role in human perception and decision making. Recent studies on emotion recognition are the subject of attention by researchers from different fields. By focusing in the four emotional states: happiness, anger, sadness and a neutral state which can be always found in daily life, this dissertation studies the Physiological signal based on emotion recognition technique. This paper uses a biological signal toolbox Augsburg (AuBT) analysis of physiological signals for emotion recognition. Augsburg Biosignal Toolbox (AuBT) is a toolbox for analyzing physiological signals written in Matlab. The result of experiment show that application of Augsburg biological signal toolbox gets the overall recognition rate of 87.5%, indicating that the Augsburg Biosignal Toolbox emotion recognition is feasible.