Computer Vision in Smart Agriculture and Crop Management

3Precision Smart Farming and Cultivation with Virtual Reality/Augmented Reality Technology - Applications and Use Cases

Himani Sharma¹, Atin Kumar^1* and Rohit Kumar²

¹School of Agriculture, Uttaranchal University, Premnagar, Dehradun, Uttarakhand, India

²Faculty of Agricultural Sciences, GLA University, Mathura, Uttar Pradesh, India

Abstract

Prior to the introduction of technological advances in agriculture, a farmer’s chances of producing quality crops were about equal to flicking a coin and hoping for heads. Smart farming uses new technologies that emerged at the start of the Fourth Industrial Revolution in the fields of agriculture and animal husbandry, precision farming aims to boost production quantity and quality while maximizing resource efficiency and reducing the negative environmental effects. A further benefit of using technology in agricultural and livestock production is that it will contribute to the worldwide availability of food. Traditional farming methods are regional in nature. There is a standard set of crops that are grown everywhere. Regarding the sowing, nourishing, watering, and harvesting periods, every farmer in that region uses the same practice. These behaviors lead to unpredictable outcomes and excessive resource utilization. There was no way for farmers to determine the reason for crop loss because they lacked information on the land they owned. The farmers were forced into debt and losses by this practice. Farming innovations increased the sector’s ...