Precision Agriculture Technologies: Analysing the Use of Advanced Technologies, Such as Drones, Sensors, and GPS, In Precision Agriculture for Optimizing Resource Management, Crop Monitoring, and Yield Prediction
DOI:
https://doi.org/10.53555/jaz.v44iS5.716Keywords:
Precision agriculture, Remote Sensing (RS), UAV/drones, Machine learning (ML), artificial intelligence (AI), Internet of Things (IoT)Abstract
Precision agriculture, or precision farming, is a type of farming method that uses technology to improve the efficiency and yield of crops. It has become increasingly popular in recent years as a way for farmers to get the most out of their land and resources. By utilizing data-driven decision-making, precision agriculture can help farmers maximize crop yields while minimizing costs by reducing water usage, fertilizer application, chemical treatments, and labor needs. In this article, we will explore precision agriculture, why it’s important, the different ways it is performed, and some key principles of this agricultural practice. Precision agriculture is a farming practice that uses advanced technology and data-driven decision-making to optimize crop yields while minimizing cost. This includes the use of sensors, aerial imagery, drones, global positioning systems (GPS), remote sensing technologies, geographic information systems (GIS), robotics, and even artificial intelligence (AI) to collect and analyze data. This data can be used to develop specific plans and strategies tailored to individual fields, farms, or even small areas within a farm. By accurately monitoring and analyzing data such as soil content, temperature, humidity, water levels, and more, farmers can better understand their land’s needs and apply resources accordingly. Precision agriculture falls under the category of smart farming, where technologies are used to produce higher yields while reducing inputs, labor, and environmental impact. By utilizing technology, precision agriculture helps farmers make better decisions and ultimately increase crop production while reducing costs at the same time.
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Copyright (c) 2023 Namrata Yadav, Neeru Sidana
This work is licensed under a Creative Commons Attribution 4.0 International License.