Greenhouse Environments Yield Prediction for Plant Growth Using Deep Learning

Veda Vidhya, Ajmeera Kiran, M. Silpa Raj, D. B.K. Kamesh, Sushruta Mishra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

It is essential for greenhouse farmers and farmers in general to be able to make precise projections of crop growth and production. Creating models that accurately forecast output and yield can help manufacturers improve their environmental management, which in turn benefits the manufacturers. Because of this, they are able to increase their output, better satisfy the supply and demand of the market, and cut their expenses. You might obtain. Recent occurrences and changes Learning on a deeper level and using machines to study can help describe and equip forceful new logical approaches. The presented breakdown makes use of ml and dl algorithms to assess the display and crop development variations in response to a variety of demands.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024
EditorsSushruta Mishra, Hrudaya Kumar Tripathy, Jnyana Ranjan Mohanty, Sambit Mishra, Tarek Gaber, Kshira Sagar Sahoo
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350370188
DOIs
Publication statusPublished - 2024
Event2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024 - Bhubaneswar, India
Duration: 27-01-202429-01-2024

Publication series

NameProceedings of 2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024

Conference

Conference2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024
Country/TerritoryIndia
CityBhubaneswar
Period27-01-2429-01-24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Greenhouse Environments Yield Prediction for Plant Growth Using Deep Learning'. Together they form a unique fingerprint.

Cite this