Implementation of Artificial Intelligence in Agriculture for Optimisation of Irrigation

Implementation of Artificial Intelligence in Agriculture for Optimisation of Irrigation.

Akshay Ambulkar

Bharati Vidyapeeth's

Institute of Management & Information Technology

Navi-Mumbai, Mumbai

Prof.Manish Dubey

Bharati Vidyapeeth's

Institute of Management & Information Technology

Navi-Mumbai, Mumbai

ABSTRACT

Agriculture plays a significant role in the economic sector.   Automation in agriculture is the main concern and the arising subject across the world. The demand for food and employment is also increasing. and work is likewise increasing. The traditional techniques which were utilized by the farmers were not sufficiently adequate to satisfy these prerequisites. In this manner, new automated techniques were presented.

These new methods fulfilled the food prerequisites and furthermore gave work open doors to billions of individuals. Artificial Intelligence in farming has brought an agricultural upset. This innovation has safeguarded the harvest yield from different factors like environmental changes, and population growth. Employment issues and the food security Problems.

The main concern of this paper is to review the different utilizations of Artificial intelligence in agriculture, for example, for irrigation, weeding, and spraying with the help of sensors and different means embedded in robots and drones. These technologies save the overabundance utilization of water, pesticides, herbicides, keep up with the fruitfulness of the soil, In additionally help in the proficient utilization of labor supply and raise efficiency and improve the quality. This paper studies crafted by many scientists to get a brief overview of the current execution of automation in farming, and the weeding frameworks through robots and drones. The different soil water sensing methods are examined alongside two automated weeding techniques. The execution of drones is examined, and the various techniques utilized by drones for showering and crop observing are likewise emplaned in this paper.