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Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops

  • Nyhet

Inbunden, Engelska, 2026

Av Mithilesh Kumar Dubey, Kajal Verma, Khalil Ahmed, Sudha Dubey

2 449 kr

Kommande

The book Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops provides a comprehensive exploration of artificial intelligence techniques and their transformative role in promoting sustainable agriculture, particularly for Solanaceae crops such as tomato, potato, and eggplant. Focusing on disease detection and prediction, the book highlights advanced AI applications, including dimensionality reduction, feature extraction, and the analysis of complex genomics and phenotypic data. It systematically presents the design, implementation, and evaluation of predictive models using widely adopted tools such as MATLAB and Python, while also addressing both software- and hardware-based solutions for enhancing genomics research and crop disease management. Through detailed case studies, experimental results, and practical examples, the book demonstrates how AI can optimize precision agriculture practices, improve crop yield, and support early warning systems for disease outbreaks. Serving as both a theoretical reference and a practical guide, it is an invaluable resource for researchers, graduate students, agronomists, and professional engineers aiming to leverage AI, image analysis, and predictive modeling to address real-world challenges in Solanaceae crop production and genomics.

Produktinformation

  • Utgivningsdatum2026-03-31
  • Mått156 x 234 x undefined mm
  • FormatInbunden
  • SpråkEngelska
  • Antal sidor236
  • FörlagTaylor & Francis Ltd
  • ISBN9781041072607
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