Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches

2021 ◽  
Vol 188 ◽  
pp. 106359
Author(s):  
Suharjito ◽  
Gregorius Natanael Elwirehardja ◽  
Jonathan Sebastian Prayoga
Keyword(s):  
Deep Learning ◽  
Mobile Devices ◽  
Oil Palm ◽  
Fresh Fruit ◽  
Learning Approaches ◽  
Fresh Fruit Bunch

Distribution map of oil palm fresh fruit bunch using LiDAR*

2021 ◽  
Author(s):  
Husna Sarirah Husin ◽  
Nurnasuha Amar ◽  
Aznida Abu Bakar Sajak ◽  
Mohd Sallehin Mohd Kassim
Keyword(s):  
Oil Palm ◽  
Fresh Fruit ◽  
Distribution Map ◽  
Fresh Fruit Bunch

scholarly journals Non-Destructive Oil Palm Fresh Fruit Bunch (FFB) Grading Technique Using Optical Sensor

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Sebastian Liban Utom ◽  
◽  
Elmy Johana Mohamad ◽  
Hanis Liyana Mohmad Ameran ◽  
Herdawatie Abdul Kadir ◽  
...  
Keyword(s):  
Optical Sensor ◽  
Oil Palm ◽  
Fresh Fruit ◽  
Fresh Fruit Bunch ◽  
Non Destructive

scholarly journals Design and development of a motor operated oil palm crusher for smallholder growers in Bangladesh

2019 ◽  
Vol 30 (1) ◽  
pp. 141-149
Author(s):  
MA Awal ◽  
SS Tabriz
Keyword(s):  
Palm Oil ◽  
Oil Recovery ◽  
Electric Motor ◽  
Oil Palm ◽  
Recovery Rate ◽  
Fresh Fruit ◽  
Design Parameters ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunch ◽  
Rotating Speed

At present oil palm growers are facing problem to extract crude palm oil in Bangladesh. Processing of palm oil categorized into various forms but basic processing stages are essentially the same including harvesting, sterilization, bunch stripping, digestion, crushing, clarification and drying. Extracting of palm oil is very difficult by traditional method and oil recovery rate is very low. Although mechanical processing is costly but produces good quality Crude Palm Oil (CPO) and oil recovery rate is high. An electric motor operated oil palm crusher was designed and developed and tested in laboratory under the Department of Farm Power and Machinery, Bangladesh Agricultural University, Mymensingh for processing of crude palm oil from fresh fruit bunch. The crusher was designed by using Auto-Cad software. It was fabricated according to design parameters. The major parts of the crusher were screw shaft, cylinder, hopper, hollow bars, pressure case cap, jamnut and frame which were fabricated by mild steel (MS), ball bearing, gear and pinion, line and idle shaft and spring were fabricated by carbon steel (CS) whereas driver and driven pulley were fabricated by cast iron(CI). Crusher was mounted on the frame. A 9 hp electric motor was used as a power source. Crusher was tested after fabrication and 3000 gm fresh fruits were used. About 700 gm crude palm oil, 800 gm oil cake, 1400 gm skum were collected from 2700 gm pretreated fruits. The crushing capacity and crude oil percentage of the crusher was 6.49 kg/hr and 25.93%, respectively. Rotating speed of screw was 40 rpm for smooth running. The weight of crusher was only 70 kg which is easy to operate by single person. The developed oil palm crusher may fulfill the demand of smallholder growers to extract oil from fresh fruit bunches. Progressive Agriculture 30 (1): 141-149, 2019

scholarly journals Pengaruh Jarak Tanam Yang Berbeda Terhadap Pertumbuhan Dan Produksi Kelapa Sawit (Elaeis guineensis Jacq)

2020 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
Hayata Hayata ◽  
Ida Nursanti ◽  
Pandu Kriswibowo
Keyword(s):  
Oil Palm ◽  
Sampling Method ◽  
Elaeis Guineensis ◽  
T Test ◽  
Fresh Fruit ◽  
Plant Spacing ◽  
Fresh Fruit Bunch ◽  
Fresh Fruit Bunches ◽  
Planting Distance

Plant spacing is a factor influencing the growth of oil palm plants. Plant spacing is done to get an area for plant growth, to avoid a sun and nutrients competition for each oil palm plant, and to make it easier maintenance. This study aimed to see   the growth and production of oil palm at different planting distances. This research was carried out at the Oil Palm smallholder Plantation located in Suko Awinjaya Village, Sekernan District, Muaro Jambi Regeny, 64 kilometers (representing 8×8 m spacing) and 69 kilometers (representing 9×9 m spacing). This research was conducted in March-April 2019. The design of the experiment was carried out as an unformatted trial and the location was porpusively chosen as  there were a uniform plants in that location. Sampling determination of the locations was based on spacing differences e.g.  Planting distance 8 × 8 m (P1), Planting distance 9 × 9 m (P2). The Systemic Sampling method was used in this study. The parameters observed were plant height, stem circumference, weight of fresh fruit bunches (FFB), productivity, light intensity, air temperature, air humidity (%). A measured agronomic each observed parameter was analyzed by Independent t test (significant level of 5%). The result showed that the oil palm plantations with 8x8 m distance planted give a higher growth  and a smaller stem circumference than the 9x9m. While a higher both of Fresh Fruit Bunch Weight and productivity were obtained at a 9x9 m spacing than those at 8x8 m planted distance. Keywords: Spacing, Productivity, Oil Palm AbstrakJarak tanam merupakan faktor yang mempengaruhi pertumbuhan tanaman kelapa sawit. Pengaturan jarak tanam adalah untuk mendapatkan ruang tumbuh bagi pertumbuhan tanaman guna menghindari kompetisi memperebutkan unsur hara dan matahari dari setiap tanaman kelapa sawit, serta mempermudah dalam pemeliharaan. Penelitian ini bertujuan untuk melihat pertumbuhan dan produksi kelapa sawit pada jarak tanam yang berbeda. Penelitian ini dilaksanakan di Perkebunan Kelapa Sawit Rakyat yang terletak di Desa Suko Awinjaya, Kecamatan Sekernan Kabupaten Muaro Jambi kilometer 64 (mewakili jarak tanam 8×8 m) dan kilometer 69 (mewakili jarak tanamn 9×9 m). Penelitian ini pada bulan Maret – April 2019. Rancangan Percobaan di lakukan dengan tidak terformat, dan lokasi dipilih secara sengaja karena pada lokasi tersebut terdapat tanaman yang diteliti dan seragam. Penentuan lokasi pengambilan sempel berdasarkan perbedaan jarak tanam yaitu: Jarak tanam 8×8 m (P1), Jarak tanam 9×9 m (P2) Pengambilan sampel pada penelitian ini menggunakan metode Sistemik Sampling. Parameter yang diamati adalah Tinggi tanaman, Lingkar Batang, Berat Tandan Buah Segar (TBS), Produktivitas, Intesitas Cahaya, Suhu Udara, Kelembaban Udara (%), Tindakan Agronomi. Setiap parameter yang diamati dilakukan analisis  Independent t test pada taraf α 5 %. Tanaman Kelapa sawit yang ditanam pada jarak 8x8 m memberikan hasil pertumbuhan yang lebih tinggi dan lingkaran yang lebih kecil dibandingkan dengan jarak tanam 9x9 m. Berat Tandan Buah Segar dan produktivitas yang lebih tinggi didapatkan pada jarak tanam 9x9 m dibandingkan dengan yang ditanam pada jarak 8x8 mKata kunci : Jarak Tanam, Produktivitas, Kelapa sawt

scholarly journals Predicting Heritability of Oil Palm Breeding Using Phenotypic Traits and Machine Learning

2021 ◽  
Vol 13 (22) ◽  
pp. 12613
Author(s):  
Najihah Ahmad Latif ◽  
Fatini Nadhirah Mohd Nain ◽  
Nurul Hashimah Ahamed Hassain Malim ◽  
Rosni Abdullah ◽  
Muhammad Farid Abdul Rahim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Conceptual Framework ◽  
Oil Palm ◽  
Crop Yields ◽  
Phenotypic Traits ◽  
Learning Approaches ◽  
Data Types ◽  
Phenotypic Data ◽  
Fresh Fruit Bunch ◽  
The Sustainable Development

Oil palm is one of the main crops grown to help achieve sustainability in Malaysia. The selection of the best breeds will produce quality crops and increase crop yields. This study aimed to examine machine learning (ML) in oil palm breeding (OPB) using factors other than genetic data. A new conceptual framework to adopt the ML in OPB will be presented at the end of this paper. At first, data types, phenotype traits, current ML models, and evaluation technique will be identified through a literature survey. This study found that the phenotype and genotype data are widely used in oil palm breeding programs. The average bunch weight, bunch number, and fresh fruit bunch are the most important characteristics that can influence the genetic improvement of progenies. Although machine learning approaches have been applied to increase the productivity of the crop, most studies focus on molecular markers or genotypes for plant breeding, rather than on phenotype. Theoretically, the use of phenotypic data related to offspring should predict high breeding values by using ML. Therefore, a new ML conceptual framework to study the phenotype and progeny data of oil palm breeds will be discussed in relation to achieving the Sustainable Development Goals (SDGs).

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