Abstract
This chapter explores automated plant disease detection, a transformative approach in agriculture and technology. It discusses the types and causes of plant diseases, their economic and environmental consequences, and the need for early and accurate detection. The chapter details various types of automated disease detection systems, including image-based, sensor-based, and hybrid systems. It also covers the design and implementation aspects of automated plant disease detection, from data collection to model deployment. The chapter highlights the diverse applications of automated disease detection in agriculture, including crop disease, weed, pest, nutrient deficiency, and abiotic stress detection. It addresses challenges and opportunities in adopting these systems, including data quality, costs, scalability, and usability.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
