AI-Based Image Classification for Oil Palm Harvesting Book

Rp 187.000

 
Author Yusuf Athallah Adriyansyah, B.Comp.Sc.(AI)(Hons). & Ir. Feri Adriyanto, Ph.D., IPU., ASEAN Eng.
Institution
Categori Book of Referention
Field of Science Computer Engineering
ISBN 978-634-01-1189-7
Size 15.5×23 cm
Page xiv, 166 pages
Stock Pre on-demand
Year 2025
         
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Synopsis AI-Based Image Classification for Oil Palm Harvesting Book

AI-Based Image Classification for Oil Palm Harvesting Book

In Southeast Asia, palm oil plays a vital role as a key economic commodity, especially in countries like Malaysia and Indonesia. Despite its importance, the industry faces critical challenges such as a shrinking labor force and inconsistent assessments of fruit ripeness. These issues contribute to operational inefficiencies, increased waste, and negative environmental impacts. Moreover, conventional harvesting practices, which depend heavily on human judgment, are both costly and error-prone—ultimately reducing the quality of yields and overall profitability.

A significant number of tropical countries are heavily dependent on oil palm as an essential element of their economic structure. It functions not merely as a cash crop but also as a provider of jobs and national income. The industry predominantly revolves around the cultivation of oil palm trees, which generate two main products: palm oil and palm kernel oil. These products are found in a wide array of applications, including food, cosmetics, and biofuels.

Table contens Book of AI-Based Image Classification for Oil Palm Harvesting:

  • Introduction to Palm Oil Harvesting and Machine Learning
  • Fundamentals of Image Processing and Machine Learning
  • System Design and Architecture
  • Implementation – Coding With Python and Colab
  • Performance Review of AI-Powered Systems in Plantation Settings
  • On-The-Ground Applications: AI in Palm Oil Harvesting Operations
  • Next Steps in Smart Agriculture: innovations, Challenges, and Impact

Book Specifications
Field of Science : Computer Engineering
Author : Yusuf Athallah Adriyansyah, Feri Adriyanto
Editor : Afifah Azhaar
Page : xiv, 166 pages, Uk.: 15.5×23 cm
ISBN : 978-634-01-1189-7
Year : 2025

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