Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Drones for Crop Monitoring and Analysis Description An account of the resource Drones are becoming a vital tool for crop monitoring and analysis in contemporary agriculture. With the use of sophisticated sensors, these unmanned aerial vehicles (UAVs) can gather high-resolution pictures and data, giving farmers real-time insights into the growth and health of their crops. Thanks to technological advancements, drones can now more reliably and effectively collect a variety of data points than previous techniques, including plant health, moisture levels, and insect infestations. Drones are a useful tool for crop monitoring because they enable farmers to identify problems early on, such as nutrient deficits, water stress, and disease outbreaks, and take prompt action to optimize yields and avoid losses. Drones can also swiftly and affordably cover vast tracts of agriculture, giving a thorough picture of crop conditions. Farmers may use the information that drones gather to make educated decisions by choices about fertilization plans, pest control techniques, and irrigation schedules, eventually enhancing crop sustainability and output. Drone technology is projected to play an increasingly bigger role in agriculture as it develops, completely changing how farmers monitor and assess their crops. (Publisher name) (publishing year) all right reserved. Creator An entity primarily responsible for making the resource Nanjundan P.; Indu P.V.; Thomas L. Source A related resource from which the described resource is derived Sustainable Farming through Machine Learning Enhancing: Productivity and Efficiency, pp. 51-63. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003484608-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003484608-5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212013213&amp;doi=10.1201%2F9781003484608-5&amp;partnerID=40&amp;md5=9e942c4ecf132f126b866957413cb255" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212013213&amp;doi=10.1201%2f9781003484608-5&amp;partnerID=40&amp;md5=9e942c4ecf132f126b866957413cb255</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104025478-3; 978-103277749-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nanjundan P., Department of Data Science CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Indu P.V., Department of Data Science CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Thomas L., Department of Psychology CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India