Affiliation:
1. University of Agriculture, Faisalabad, Pakistan
2. Sindh Madresstual Islam University, Karachi, Pakistan
3. University of the Punjab, Pakistan
4. University of Bahrain, Bahrain
5. Huazhong Agricultural University, China
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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