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All Journal HAYATI Journal of Biosciences Jurnal Ilmu Pertanian Indonesia Jurnal Fitopatologi Indonesia MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah JURNAL BISNIS STRATEGI Jurnal Keteknikan Pertanian Jurnal Penelitian Hasil Hutan Jurnal Penelitian Pascapanen Pertanian Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Penelitian Tanaman Industri Buletin Teknologi Pasca Panen Indonesian Journal of Business and Entrepreneurship (IJBE) agriTECH Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Agroindustri Jurnal REKOMEN (Riset Ekonomi Manajemen) IJBE (Integrated Journal of Business and Economics) Jurnal Penelitian Pertanian Tanaman Pangan Jurnal Teknologi & Industri Hasil Pertanian Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL PANGAN Jurnal Penelitian Hasil Hutan Jurnal Penelitian Tanaman Industri (Littri) Jurnal Penelitian Hasil Hutan
Rokhani Hasbullah
Departemen Teknik Mesin Dan Biosistem , IPB University
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences

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Journal : HAYATI Journal of Biosciences

 1 
Photosynthetic Rate Prediction Model of Golden Melon Plant (Cucumis melo L.) at Vegetative Phase in Greenhouse using Artificial Neural Networks Erniati; Herry Suhardiyanto; Rokhani Hasbullah; Supriyanto
HAYATI Journal of Biosciences Vol. 31 No. 1 (2024): January 2024
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.31.1.30-38

Abstract

The most critical parameter affecting plant growth is the photosynthetic rate. The parameter can be determined by measuring the rate of CO2 assimilation that occurs in plants. Developing a photosynthetic rate model can recommend proper cultivation maintenance in melon plants. Hence, the involvement of input parameters in the developed model affects the accuracy of the prediction. This study aims to develop an artificial neural networks (ANNs) prediction model of the photosynthetic rate of melon plants in the vegetative phase in the greenhouse based on seven environmental and growth parameters and find the best model structure. Model development uses artificial neural networks with several stages: data collection and pre-processing, model development with different input variations, model validation, and selection of the best scenario to predict photosynthetic rate. The results showed that five out of seven input parameters, i.e., air temperature, sunlight intensity, CO2 concentration, air humidity, and plant rows, in the model structure of five inputs, six hidden and one output were the best model scenarios with coefficient of determination (R2) and root mean square error (RMSE) of 0.986 and 0.420, respectively.
Co-Authors . Setiadjit . Sukarno . Sutrisno Abdul Waries Patiwiri Achmad Fitrah Maulidin Addiena Syahvina Nasution Adhitya Yudha Pradhana Agus Ghautsun Niam Agus Sutejo Ahmad Yani Ahmad Yani Alhori Alhori Ali Parjito Amzul Rifin Andi Suryadi Anggitha Ratri Dewi Arief Daryanto Arif Imam Suroso Arif Suroso Aris Purwanto Astu Unadi Budi Nurtama Budi Rahardjo Cicih Sugianti Dadang . Damanik, Annisa Purnamasari Deasy Fitriani Desy Nofriati Desy Nofriati Deva Primadia Almada Dikky Indrawan Dondy A Setyabudi Dondy A Setyabudi DS Priyarsono Dwi Zuwarman Edi Suryanto Edy Hartulistiyoso Eka Priyana Elisa Nur Faizaty Elpodesy Marlisa Emmy Darmawati Erniati Erniati Erniati Esa Ghanim Fadhallah Eti Rohaeti Fahim M Taqi Firdaus, Jonni Graita Gaiety Jatmiko Harli Prawaningrum Hartoyo Hasniar . Hayatri Sali Setia Heriyanto S Soba Herry Suhardiyanto I Wayan Astika I Wayan Budiastra Idham Sakti Harahap Indrawan, Raden Dikky Indrawan Iriando Wijaya Ita Zuraida Iyus Hendrawan Iyus Hendrawan Jayawarsa, A.A. Ketut Jeffrey Fransiscus Juniska Muria Sariningpuri Kaltika Setya Utami Sumariana Khoirul Mukhtarom Khoirul Umam Kristianingsih, - Latief, Prori Vitaliano Lidya Susanti Lilik Pujantoro Lilik Pujantoro Eko Nugroho Lista Eka Yulianti Lydia Ariani Machfud Machfud Machfud Machfud Mahasin, M. Zaenal Mahdania, Nadya Fazira Islah Maya Wulan Arini Memen Surahman Michael Alexander Hutabarat Mohamad Rahmad Suhartanto Mohamad Solahudin MUHAMMAD YUSUF ANTU Muhammad Yusuf Antu Nanik Purwanti Nelwan, Leopold Oscar nFN Setyadjit nFN Sukarno Nunung Nuryartono Nurfadhillah, Salsa Nurhayati Nurhayati Nurman Susilo Nurul Imamah Nurwijayanti Nuzul Syah Putra Okky Setyawati Dharmaputra Parlaungan Adil Rangkuti Patiwiri, Abdul Waries Pramita Riskia D. P Purwiyatno Hariyadi Renny Anggraini Ridwan Rachmat Rimba Lestari Rio Viryawan Riska Indaryani Riska Juliana Rizal Syarief Rizal Syarief RIZAL SYARIEF Rofika Rochmawati Rozana - Ruri Wijayanti Salsa Nurfadhillah Selvi Marcellia Setiadjit Setiadjit Setyo Pertiwi Sidiq, Fajar Slamet Budijanto Sugiyono Sugiyono Sukarno Sukarno Sukmawati, Elya Sulusi Prabawati Sunandar, Muhammad Prayoga Supriyanto Supriyanto Supriyanto Suroso . Suroso Suroso Susi Lesmayati Susilo, Nurman SUTRISNO Sutrisno , Sutrisno - Sutrisno Mardjan Sutrisno Sutrisno Sutrisno Sutrisno Tajuddin Bantacut Tjahja Muhandri Tri Yulni Ujang Sumarwan Usman Ahmad Warji Warji Yudha Heryawan Asnawi