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Automated Plant Disease Detection: A Convergence of Agriculture and Technology
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Author(s): Aamir Raza (University of Agriculture, Faisalabad, Pakistan), Muhammad Safdar (University of Agriculture, Faisalabad, Pakistan), Hasnain Ali (University of Agriculture, Faisalabad, Pakistan), Mudassir Iftikhar (Sindh Madresstual Islam University, Karachi, Pakistan), Qandeel Ishfaqe (University of the Punjab, Pakistan), Mohammed Saleh Al Ansari (University of Bahrain, Bahrain), Peng Wang (Huazhong Agricultural University, China)and Ali Shahroze Khan (University of Agriculture, Faisalabad, Pakistan)
Copyright: 2024
Pages: 30
Source title:
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics
Source Author(s)/Editor(s): Alex Khang (Global Research Institute of Technology and Engineering, USA)
DOI: 10.4018/979-8-3693-2069-3.ch014
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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.
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