Improving the Food and Agriculture Sector Tehran Stock Exchange by using Artificial Intelligence

محورهای موضوعی : Agriculture Marketing and Commercialization

Hamid Mir ¹ (Department of accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran,)
Ramin Zaraatgari ² (Accounting Department of Sistan and Baluchestan University, Zahedan,)
Reza Sotoudeh ³ (Department of Accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran)

تاریخ دریافت : 1399/11/21 تاریخ پذیرش : 1400/06/14 تاریخ انتشار : 1400/09/10

کلید واژه: Artificial Intelligence, Tehran Stock, Agricultural companies, improve the food and agriculture sector,

چکیده مقاله :

Agriculture plays a significant role in the economic sector. Automation in agriculture is the main concern and an emerging subject across the world. The population is increasing tremendously and with this increase, the demand for food and employment is also increasing. The traditional methods which were used by the farmers were not sufficient enough to fulfill these requirements. Thus, new automated methods were introduced. These new methods satisfied the food requirements and also provided employment opportunities to billions of people. Artificial Intelligence in agriculture has brought an agricultural revolution. This technology has protected the crop yield from various factors like climate changes, population growth, employment issues, and food security problems. The main concern of this paper is to audit the various applications of Artificial intelligence in agriculture such as for irrigation, weeding, spraying with the help of sensors and other means embedded in robots and drones. These technologies save the excess use of water, pesticides, herbicides, maintains the fertility of the soil, also helps in the efficient use of manpower and elevate productivity and improve the quality. This paper surveys the work of many researchers to get a brief overview of the current implementation of automation in agriculture, the weeding systems through robots and drones. The various soil water sensing methods are discussed along with two automated weeding techniques. The implementation of drones is discussed, the various methods used by drones for spraying and crop monitoring is also discussed in this paper.

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