Modelling of energy demand prediction system in potato farming using deep learning method

Modelling of energy demand prediction system in potato farming using deep learning method

Agriculture and energy are intricately connected, with agriculture being a significant energy consumer and supplier. In this comprehensive study, SPSS and Jupyter Notebook were used to model and predict the energy requirements of potato plants during cultivation. A system using deep learning methods...

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Bibliographic Details
Main Authors: Riswanti Sigalingging, Nasha Putri Sebayang, Noverita Sprinse Vinolina, Lukman Adlin Harahap
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2024-12-01
Series:Research in Agricultural Engineering
Subjects:
convolutional neural network
machine learning
maxpooling
tuber
yield
Online Access:https://rae.agriculturejournals.cz/artkey/rae-202404-0002_modelling-of-energy-demand-prediction-system-in-potato-farming-using-deep-learning-method.php
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https://rae.agriculturejournals.cz/artkey/rae-202404-0002_modelling-of-energy-demand-prediction-system-in-potato-farming-using-deep-learning-method.php

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