Journal ID : AMA-26-01-2023-11972
[This article belongs to Volume - 54, Issue - 01]
Total View : 358

Title : Application of Drone Technology, ICT, GPS, IoT and AI in smart farming – A Review

Abstract :

Drone technology an advanced image data analytics with the capabilities it provides have the potential to become important parts of the technology mix that could fill the gap between current agricultural production and the needs of the future. The technology was first implemented in Japan in the 1980s when unmanned helicopters equipped with spraying equipment and pesticides tanks were used to spray crop fields. Typical modern day spraying drones have tank capacity of over ten litres of liquid pesticide with discharge rate of over a litre a minute, allowing them to cover a hectare in ten minutes. Smart Farming is an emerging concept that refers to managing farms using modern Information and Communication Technologies to increase the quantity and quality of products while optimizing the human labor required is a modern farming concept that looks into the use of technology to improve agricultural production while at the same time lowering the inputs significantly. Smart farming runs on the principles of precision farming such as the use of GPS guidance in the application of measures that are site-specific. Minimized or site-specific application of inputs, such as fertilizers and pesticides, in precision agriculture systems will mitigate leaching problems as well as the emission of greenhouse gases. Agriculture is undergoing a fourth revolution triggered by the exponentially increasing use of Information and communication Technology (ICT) in agriculture. In IoT-based smart farming, a system is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automating the irrigation system. The industry is turning to Artificial Intelligence technologies to help yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain. IoT based remote sensing utilizes sensors placed along the farms like weather stations for gathering data which is transmitted to analytical tool for analysis.

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