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All Journal International Journal of Electrical and Computer Engineering MEDIA PETERNAKAN - Journal of Animal Science and Technology Jurnal Ilmu Pertanian Indonesia Buletin Peternakan Pastura; Journal Of Tropical Forage Science Jurnal Veteriner Jurnal Ilmu Lingkungan JURNAL ILMU DAN TEKNOLOGI PETERNAKAN Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Sain Peternakan Indonesia Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Ilmu Ternak Veteriner WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Jurnal Ternak Tropika AGRIVITA, Journal of Agricultural Science JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Jurnal Pertanian Terpadu Animal Production : Indonesian Journal of Animal Production Buletin Ilmu Makanan Ternak Jurnal Ilmu Nutrisi dan Teknologi Pakan Jurnal Manajemen Pembangunan Daerah e-Jurnal Rekayasa dan Teknologi Budidaya Perairan Journal of Tropical Crop Science Jurnal Medik Veteriner Jurnal Ilmu Peternakan dan Veteriner Tropis (Journal of Tropical Animal and Veterinary Sciences) Jurnal Iktiologi Indonesia (Indonesian Journal of Ichthyology) Jurnal Nutrisi Ternak Tropis (JNT) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Triton Jurnal Pusat Inovasi Masyarakat AGRIEKSTENSIA Jurnal Kedokteran Hewan Scientific Journal of Informatics Jurnal Agripet
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Journal : International Journal of Electrical and Computer Engineering

Convolutional neural network for estimation of harvest time of forage sorghum (sorghum bicolor) cultivar samurai-1 Suradiradja, Kahfi Heryandi; Sitanggang, Imas Sukaesih; Abdullah, Luki; Hermadi, Irman
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1730-1738

Abstract

One of the economic alternatives to improve the quality of ruminant feed is combining grass as the main feed with high-protein forages such as sorghum. To get a quality sorghum harvest during the period, it must be right when it has good biomass content, nutrients, and digestibility. The problem is that measuring quality in the laboratory has additional costs and time, which is not short, causing delays. An approach with machine learning using a convolutional neural network can be a better solution. This research uses a convolutional neural network algorithm with the right architecture to estimate sorghum harvest time from imaging results of unmanned aerial vehicles. The stages of this research include data collection, pre-processing, modeling, and finally, the evaluation stage. This research compares the results of several convolutional neural network (CNN) algorithm architectural models: simple CNN, ResNet50 V2, visual geometry group-16 (VGG-16), MobileNet V2, and Inception V3. The result is determining the CNN algorithm architectural model that can estimate sorghum harvest time with maximum accuracy. The best result is the simple CNN architectural model with an accuracy of 0.95. This research shows that the classification model obtained from the CNN algorithm with a simple CNN architecture is the choice model for estimating sorghum harvest time.
Co-Authors . Nurlaha . Supriyanto A Ali Adrial Adrial Adrial Adrial, Adrial Afsitin Joan Tatra Agus Oman Sudrajat Ahmad Darobin Lubis Ahmad Yani ahmad yani Ahmad Yani Amalia, Ghina Tazkia Anisa Rahmawati Solikah Anwar Efendi Harahap Apriadi Pasaribu Arief, Irma Isnafia Arif Hidayad Ashari Armaji, Yone Asep Tata Permana Asep Tata Permana Asnath Maria Fuah, Asnath Maria Astuti DA Astuti DA Asyidiqy, Tantri Azhar, Muhammad Nur Azib Ernawati - Bagus Priyo Purwanto Bayu Nuari Ramadhan Berta Putri Cathleya Rosadi Choirul Badriah D Sopandi D Sopandi D.A. Astuti Dedi Ramdani Desi Purnamasary Banurea Despal Despal DEWI APRI ASTUTI Dewi Ayu Lestari Diana Sawen Didid Diapari Dwi Mulyasih Dwi Mulyasih Edi Erwan Eko Heru Dumadi Enggi Rizki Pratama Erwan, Edi Fachrul Akbar Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fensa Eka Widjaya Fitra, Deni Guslian Abdul Basir Hajar Hajar Harianti, Fitri Harun Djuned Harwanto Harwanto Henny Nuraini Heri Sukria Herilimiansyah Herilimiansyah I Anas Ida Ayu Putu Sri Widnyani Idat Galih Permana Imas Sukaesih Sitanggang Indra Gumay Yudha Irma Isnafia Arief Irman Hermadi Iwan Herdiawan Iwan Herdiawan Iwan Prihantoro Iwan Prihantoro Jefirstson Richset Riwukore Jefirstson Richset Riwukore Jefirstson Richset Riwukore Kahfi Heryandi Suradiradja Karti PDMH Karti PDMH Kathleya Rosadi Komarsa Gandasasmita Laili Fithri Hidayati Lilis Khotijah Luis Marnisah M A Chozin M Agus Setiadi Mansyur Mansyur Mona Lastri Lani mufti, abdul Muhammad Ridla N R Kumalasari Nahrowi Nahrowi Nazla Iftikhar Niken Ulupi Nur Rochmah Kumalasari Nur Rohmah Kumalasari P.M.D.H Karti, P.M.D.H Panca Dewi M. H. K. Panca Dewi Manu Hara Karti Panca DMH Karti Priskila Sophia Hutapea Rita Mutia Rizal Putra Rizki Eka Puteri Rizki Palupi Rudi Afnan Rudi Priyanto Rudi Priyanto Rudy Priyanto Rustama Saepudin Sadarman Sadarman Salundik Satria Mulyadi Putra, Erlangga Satwika, Prawesa Shelvie Nidya Neyman Sitanggang, Imas S. Somanjaya, Rachmat SRI RAHAYU Suharlina Suharlina Sumiati . . Sumiati Sumiati Sunardi Suradiradja, Kahfi Heryandi Suwardi Suwardi Suwarnao - Suwarno, Suwarno Tenti Rahmawati Tenti Rahmawati, Tenti Tidi Dhalika Toto Toharmat Yayang Lilik Abdul Holik Yohanes Susanto Yuli Retnani Yundari, Yundari Zikril Hidayat