Understanding Logical Reasoning Through Computer Systems

The agricultural industry today has been highly dependent on modern technologies such as automated agricultural machinery and equipment which are replacing the tedious tasks done by humans. The advancements in agriculture have been made successful through the continuous development of new systems and technologies and it has become an essential component for these technologies to be part of the next generation of animal and plant factories. In the future, the world is expected to have more people and more demand and consumption of the earth's natural resources and materials. The challenge here is to reanalyze how agriculturally based systems can help meet the needs of the society. Also, as it moves away from the sophisticated manual process of doing farm work like planting, harvesting, fertilizing, etc. we move towards the automation of agricultural vehicles to help the farmers work efficiently and systematically.

Section: Results and Analysismentioning

confidence: 99%

Corona Virus Disease (COVID 19): Analysis and Design of an Alert and Real-time Tracking System

Africa¹,

Abaluna²,

Pimentel³

2020

“…Since the year 2015, several studies have been implemented for these industries in which the main applications were object detection and classification. The main advantage of convolutional neural networks over artificial neural networks is that they can execute both feature selection and extraction and can combine large values of parameters [13].…”

Section: Theoretical Considerationmentioning

confidence: 99%

Ripe Fruit Detection and Classification using Machine Learning

Africa¹

2020

Self Cite

One of the most important sectors in any country is the agricultural sector. However, in some countries, farmers and fishermen have limited technology compared to other developed countries. One of the effects of limited technology is the low quality of crops, fruits, and vegetables. This is because the quality of the products is only assessed depending on external factors like appearance, shape, color, and texture, which can be prone to human error. Determining the quality and ripeness level of fruit requires consistency, which can be hard and tedious for humans when it becomes repetitive work. This paper aims to present various methods and approaches on how ripe fruit detection and classification can be made easier and more convenient using machine learning and machine vision algorithms. Furthermore, this study presents systems that can be utilized in pre and post-harvest analysis. This paper aims to provide solutions using computer applications to help farmers have lesser manual labor yet more accurate data and results in the evaluation of crops.

“…First, management based on predictive models of a control unit (or MPC: Model Predictive Control). The basic principles of operation of the multi-parameter controller MPC model in AVEVA APC [15]. Figure 3 shows presentation of the actual responses of the process in the form of a multi-parameter dynamic model.…”

Section: 2apc's It Landscapementioning

confidence: 99%

Real-time Optimization and Increasing Efficiency of the Processes in the Petrochemical Industry

Kireeva¹

2020

APC solution is designed to coexist in parallel with existing systems, such as MES, ERP as well as DCS, complementing them. Moreover, without the presence of a properly functioning of DCS, it is premature to talk about the transition to APC. APC solutions integrate with existing distributed control systems (DCS) for optimal plant control. The idea of the model is to build a mathematical representation of the controlled process and integrate this model in the control loop in real time mode. It is worth saying that in addition to mathematical models, which are the "calling card" of the solutions offered on the APC market, APC also uses other methods of modern automation. One example of the effective using of APC in process is stabilization problems, which can be solved using the classic PID control, but by using a modern APC solution, the problem can be solved more efficiently, for example, by not just stabilizing the process, but stabilizing it in a technologically feasible and at the same time the most cost-effective state of equilibrium. This process is called "stock removal by quality".