Paper Key : IRJ************669
Author: Sakshi Kishor Javheri
Date Published: 06 Nov 2023
Abstract
Agriculture is experiencing a digital transition, with artificial intelligence (AI) playing a critical role in transforming the industry. This abstract presents an overview of artificial intelligence's tremendous influence on agriculture and emphasizes major issues and breakthroughs in this rising research period.AI-powered solutions have the potential to address many of contemporary agriculture's difficulties, such as raising global food production to feed a growing population, maximizing resource usage, and decreasing environmental effect. Farmers can make data-driven choices at every stage of the agricultural cycle, from crop planting to harvesting, thanks to advances in machine learning, computer vision, and sensor technology.This research era is focused on a number of crucial topics. To begin, precision agriculture use AI to evaluate data from many sources, such as satellite imaging, drones, and IoT sensors, in order to improve agricultural output and resource management. Second, AI-driven farming technology, such as self-driving tractors, robotic weed control, and drone-assisted pest management, is set to transform labour-intensive procedures while lowering operating costs. Third, agricultural disease diagnosis and monitoring using AI algorithms allows for early intervention, which reduces crop losses and pesticide use.According to the United Nations FAO (Food and Agriculture Organization), the global population would expand by another 2 billion in 2050, but extra land area under cultivation will account for just 4% of total land area at that time. In such cases, more effective farming techniques can be achieved through the use of recent technical developments and solutions to present farming bottlenecks. A direct application of AI (Artificial Intelligence) or machine intelligence throughout the farming industry might be an example of a paradigm change in how farming is now performed.AI-powered farming solutions allow farmers to achieve more with less while also improving quality and assuring a rapid GTM (go-to-market plan) approach for crops. The current study paints a picture of how AI may be used to power the many areas of agriculture. It also looks at future AI-powered concepts and difficulties. Furthermore, AI is assisting farmers in the development of sustainable agriculture techniques, assisting them in minimizing waste, reducing chemical consumption, and adapting to climate change. This study dives into the ethical and societal implications of AI in agriculture, examining topics such as data protection, technological accessibility, and worker reskilling.Finally, the incorporation of AI into agriculture heralds a new age of research with enormous potential to alter the business. This abstract presents an overview of the essential components of this change, emphasizing its potential to boost production, minimize environmental impact, and usher in a more sustainable and efficient agricultural age. The entire study report will go into further detail on these issues, as well as the problems and possibilities connected with this intriguing convergence of technology and agriculture.Key Words: Agriculture, Artificial Intelligence, Robotics, Crop, Farming.
DOI LINK : 10.56726/IRJMETS45733 https://www.doi.org/10.56726/IRJMETS45733