scholarly journals Smartphone for palm oil fruit counting to reduce embezzlement in harvesting season

2020 ◽  
Vol 4 (2) ◽  
pp. 76-82
Author(s):  
Aripriharta Aripriharta ◽  
Adim Firmansah ◽  
Nandang Mufti ◽  
Gwo-Jiun Horng ◽  
Norzanah Rosmin
Keyword(s):  
Cellular Network ◽  
Crop Yields ◽  
Single Shot ◽  
Palm Fruit ◽  
Wireless Router ◽  
Cloud Database ◽  
Essential Parameter ◽  
Agricultural Applications ◽  
Fresh Fruit Bunches ◽  
And Storage

Harvest estimation is an essential parameter in the agriculture industries to estimate transportation facilities and storage areas in the harvesting season. Meanwhile, companies are required to calculate crop yields quickly and accurately. This paper reports on an experimental study in the form of a smart application to count oil palm fruit in the field quickly and accurately. The system used a single shot detector algorithm to count the number of fresh fruit bunches (FFB) on-site using a smartphone camera. The cutting area (CA) at the top of the collection was collected in various positions in the database. Our research documented that the algorithm matched the CA with the picture taken by the operator. Hence, the application automatically calculated the number of harvests per-site in the FFB unit. The data were then sent to the cloud database via a wireless router in a warehouse or through a cellular network. The main advantage of this application is reducing the theft that usually occurs on the spot. The model used performs very well for agricultural applications, with 94% to 99% accuracy.

scholarly journals IMPLEMENTASI JARINGAN SYARAF TIRUAN (JST) DAN PENGOLAHAN CITRA UNTUK KlASIFIKASI KEMATANGAN TBS KELAPA SAWIT

2018 ◽  
Vol 15 (1) ◽  
pp. 36
Author(s):  
Minarni Minarni ◽  
Roni Salumbae ◽  
Zilhan Hasbi
Keyword(s):  
Oil Palm ◽  
Color Space ◽  
Human Perception ◽  
Image Data ◽  
Cost Effective ◽  
Fresh Fruit ◽  
Human Vision ◽  
Palm Fruit ◽  
Color Parameters ◽  
Fresh Fruit Bunches

The clasification of ripeness stages of oil palm fresh fruit bunches (FFBs) can be done using color parameters. These parameters are often evaluated by human vision, whose degree of accuracy is subjective which can cause doubt in judgement. Automatic clasifications offreshfruit bunches (FFBs) based on color parameters can be done using computer vision. This method is known as a nondestructive, fast and cost effective method. In this research, a MATLAB computer program has been developed which consists of RGB and HSV GUI which is used to record, display, and process FFB image data. The backpropagation artificial neural network (ANN) program is also developed which is used to classify the oil palm fruit fresh bunches (FFBs). Samples are fresh fruit bunches (FFB) of oil palm varieties of Tenera which comprise of Topaz, Marihat, and Lonsum clones. Each clone composed of three levels of ripeness represented by five fractions. The measurements were started by capturing images of oil palm, extracting RGB and HSV values, calculating weight values from the image database to make anANN program, preparing grid programs for oil palm FFBs, and comparing grading levels of oil palm FFBs using program and by harvester. This program successfully classified oil palm (FFBs) into three categories of ripeness which are unripe (F0 and F1), ripe (F1 and F1) and over ripe (F4 and F5). The RGB and HSV programs successfully classified 79 out of 216 FFBs or 36.57% and 106 out of 216 TBS or 49.07%. Respectively the HSV program is better than RGB program because the representation of HSV color space are more understood by human perception hence can be used in calibration and color comparison.

scholarly journals PENANGANAN HASIL PANENTANDAN BUAH SEGAR KELAPA SAWIT OLEH KOPERASI HARAPAN JAYA

2020 ◽  
Vol 3 (1) ◽  
pp. 150-158
Author(s):  
Munawar Thoharudin ◽  
Fatkhan Amirul Huda ◽  
Tedi Suryadi
Keyword(s):  
Oil Palm ◽  
Qualitative Approach ◽  
Research Approach ◽  
Analysis Method ◽  
Economic Activities ◽  
Palm Fruit ◽  
Fresh Fruit Bunches ◽  
The Village ◽  
Depth Interviews ◽  
Cooperative Units

Oil palm is one of the commodities of plantation products which has an important role in economic activities in Indonesia. The existence of the Harapan Jaya cooperative is very helpful for the plasma farmers in the village who are not prosperous. In addition to being able to provide cooperative capital assistance, the role is to ensure that farmers 'harvests are sold every month, while other cooperatives are unable to provide certainty about the sale of farmers' harvested fruits. The aim of this study was to discuss the handling of yields of oil palm fresh fruit bunches by cooperative expectations. The research approach used in this study is a qualitative approach. The research was carried out in a village of prosperous hope cooperative units in a village that was not successful. Site selection is determined intentionally. Data collection is done by in-depth interviews and documentation. The variables in this study consisted of mechanisms for handling yields of fresh palm fruit bunches. The data analysis method used in this study is descriptive qualitative. Based on the results of the study, information was obtained regarding the problems faced by oil palm farmers, especially in villages that were not successful. The solution to overcome this problem is through 3 mechanisms for supplying fruit-bearing trucks, cooperating with several palm oil mills, selling FFB to factories at high prices, and ensuring that the plantation roads are feasible to pass.

scholarly journals YOUTHS’ INVOLVEMENT IN OIL PALM (ELAEIS GUINEENSIS) FRUIT PROCESSING ACTIVITIES

2021 ◽  
Vol 53 (4) ◽  
pp. 384-399
Author(s):  
Julius Olatunde AYINDE ◽  
Michael FAMAKINWA ◽  
Babatunde Opeyemi AKEREDOLU
Keyword(s):  
Oil Palm ◽  
Agricultural Development ◽  
Formal Education ◽  
Elaeis Guineensis ◽  
Sampling Procedure ◽  
Palm Fruit ◽  
Level Of Involvement ◽  
Fruit Processing ◽  
Fresh Fruit Bunches ◽  
Multistage Sampling

This study assessed the youths’ involvement in oil palm fruit processing activities in Ondo State, Nigeria. It described the socio-economic characteristics of youths involved in oil palm fruit processing activities, determined their level of involvement, examined their perception and identified constraints associated with their involvement. Multistage sampling procedure was employed to select 120 respondents from the study area. Interview schedule was employed to collect relevant data, which was analysed with SPSS software package. Descriptive statistics were used to summarise the data while inferential statistics were used to draw inference on hypothesis. The results show that majority (63.3%) were male, 95.8% had formal education with a mean age of 27.2 ± 2.7 years. Picking of fresh fruit bunches ( = 2.71), packaging ( = 2.60) and gathering of bunches ( = 2.50) were the major activities youth involved in. Higher percentage (57.9%) of the youth had favourable perception towards involvement in oil palm fruit processing activities. Lack of modern processing facilities ( =3.65) and funds/inadequate credit facilities ( = 3.65) were the prime constraints to their involvement. Number of labour (r = 0.7460; p≤0.01) and income (r = 0.601; p≤0.01) of the respondents were significantly related to youth involvement. The study concluded that youth had moderate involvement in oil palm processing activities. However, agricultural development stakeholders like government should provide adequate and functional credits facilities to these youths to encourage their involvement.

scholarly journals Understanding Caking Phenomena in Industrial Fertilizers

2021 ◽  
Vol 34 (4) ◽  
pp. 209-222
Author(s):  
Aysu Ulusal ◽  
Cemre Avsar
Keyword(s):  
Crop Productivity ◽  
Storage Conditions ◽  
Control Points ◽  
Research Subject ◽  
Contact Points ◽  
Physicochemical Interactions ◽  
New Process ◽  
Agricultural Applications ◽  
End Use ◽  
And Storage

One of the most important problems of the fertilizer industry is that fertilizers show caking tendency during transportation and storage. Caking occurs as a result of interaction at the contact points formed between solid fertilizer particles. These interactions, also called contact mechanisms, are activated by a number of properties that fertilizers have and by environmental conditions. Prevention of caking mechanism is a substantial research subject that directly affects the quality and financial value of the final product and ensures its applicability. Fertilizer in good quality can provide ease in agricultural applications, and directly affect plant nutrition and crop productivity. At this point, there are various promoter practices for obtaining the free-flowing property in fertilizers that can be maintained or suggested during or after production, both in industry and in R&D studies. In order to develop new process control points in the industry, it is important to understand the factors that cause caking and the mechanism of physicochemical interactions that progress depending on these factors. In addition, it is essential to improve the storage conditions of the fertilizer, as well as to maintain its quality until end-use. This paper focuses on the caking behavior of fertilizers in detail, giving brief information about the prevention of caking and various types of anticaking agents.

scholarly journals STUDY OF THE UTILIZATION OF PALM OIL INDUSTRY LIQUID WASTE

Konversi ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
An Nisa Fitria ◽  
Vandhie Satyawira Gunawan ◽  
Mardiah Mardiah
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Economic Value ◽  
Liquid Waste ◽  
Oil Industry ◽  
Fresh Fruit ◽  
Added Value ◽  
Palm Fruit ◽  
Fresh Fruit Bunches ◽  
Plantation Crops

Palm oil is one of the plantation crops that have high economic value and is growing rapidly. The wider the area of oil palm plantations in Indonesia, the more palm oil mills will process palm fresh fruit marks and produce waste from processed palm oil, namely solid waste and liquid waste. Each tonne of fresh fruit bunches (FFB) processed at the plant will potentially leave waste of about 23% empty palm oil, 4% wet decanter solid, 6.5% shell, 13% fiber, and 50% liquid waste. This review will discuss the utilization of palm oil mill liquid waste (LCPKS) which is organic material that still contains many benefits such as nutrients, therefore the application of liquid waste is an effort to recycle some of the nutrients (recycling nutrients) which is followed by harvesting fresh fruit bunches (FFB) from oil palm so that it will reduce the cost of fertilization which is classified as very high for oil palm cultivation. During the processing of oil palm fruit into palm oil in the palm oil industry, the remaining process is obtained in the form of liquid waste. If done properly, the liquid waste of the palm oil industry is considerable potential and can increase the added value of waste itself.Keywords: liquid waste industry, palm oil, utilization  

The Portal Monitor

2011 ◽  
pp. 219-235
Author(s):  
John F. Duncan ◽  
L. Jean Camp ◽  
William R. Hazlewood
Keyword(s):  
Quality Of Care ◽  
Data Collection ◽  
Cellular Network ◽  
Elder Care ◽  
Passive Monitoring ◽  
Portal Monitor ◽  
Data Transparency ◽  
Monitoring Technologies ◽  
And Storage

The authors describe an innovative monitoring system designed for elder care. This system is an example of privacy-aware design that addresses specific risks based on gerontology literature and confirmed by focus groups with representations of the target group. The design emphasizes data transparency, minimizes data collection and storage, and balances elder control with elder risks. By being event-driven, this monitor enables a caregiver to react more efficiently than with passive monitoring technologies such as traditional security cameras. By reducing cognitive load, the system empowers caregivers, and allows them to provide a higher quality of care – thus allowing the elder to remain in their home as long as possible. The authors make innovative use of arguably the most pervasive communications infrastructure – the cellular network – to enhance elder autonomy without sacrificing their privacy.

scholarly journals Image-Based Plant Disease Identification by Deep Learning Meta-Architectures

Plants ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1451
Author(s):  
Muhammad Hammad Saleem ◽  
Sapna Khanchi ◽  
Johan Potgieter ◽  
Khalid Mahmood Arif
Keyword(s):  
Deep Learning ◽  
Plant Disease ◽  
State Of The Art ◽  
Mean Average Precision ◽  
Single Shot ◽  
Average Precision ◽  
Crop Monitoring ◽  
Convolutional Networks ◽  
Fully Convolutional Networks ◽  
Agricultural Applications

The identification of plant disease is an imperative part of crop monitoring systems. Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art to address various agricultural problems. This research performed the complex tasks of localization and classification of the disease in plant leaves. In this regard, three DL meta-architectures including the Single Shot MultiBox Detector (SSD), Faster Region-based Convolutional Neural Network (RCNN), and Region-based Fully Convolutional Networks (RFCN) were applied by using the TensorFlow object detection framework. All the DL models were trained/tested on a controlled environment dataset to recognize the disease in plant species. Moreover, an improvement in the mean average precision of the best-obtained deep learning architecture was attempted through different state-of-the-art deep learning optimizers. The SSD model trained with an Adam optimizer exhibited the highest mean average precision (mAP) of 73.07%. The successful identification of 26 different types of defected and 12 types of healthy leaves in a single framework proved the novelty of the work. In the future, the proposed detection methodology can also be adopted for other agricultural applications. Moreover, the generated weights can be reused for future real-time detection of plant disease in a controlled/uncontrolled environment.

scholarly journals EVALUASI PENERAPAN STANDAR OPERASIONAL PROSEDUR KARYAWAN PANEN TERHADAP KUALITAS DAN KUANTITAS PANEN TANDAN BUAH SEGAR KELAPA SAWIT (Elaels guineensis jacq) SERTA HANCAK PANEN (Studi Kasus: PT. Sentosa Kalimantan Jaya)

2020 ◽  
Vol 5 (01) ◽  
pp. 46-54
Author(s):  
Lydia Apria Rosadi ◽  
Rusli Anwar ◽  
Rusmini
Keyword(s):  
Oil Palm ◽  
Work Experience ◽  
Descriptive Analysis ◽  
Standard Operating Procedures ◽  
Palm Fruit ◽  
Interview Method ◽  
Standard Operating ◽  
Experience Education ◽  
Fresh Fruit Bunches ◽  
Observation Method

This research is motivated by the number of oil palm companies that require employees to do work according to standards companies such as harvest employees  who must harvest according to quality ripe fruit and harvest ripe reach the company's target, but in the statement the harvest work does not pay attention to operational standards procedures (SOP) that have been made and implemented in the company, so it is necessary carried out observations of the application of standard operating procedures for employees to harvest fresh fruit bunches (FFB). The objectives of this research are to identify the characteristics of respondents based on age, sex, work experience, education in general and to monitor the implementation of standard operating procedures for harvest employees on the quality and quantity of harvested fresh oil palm fruit bunches and harvest rights.Collecting data related to the implementation of harvest employee SOPs was obtained through the observation method, the interview method, and the documentation method.To analyze this data, data analysis was used in this study collected from research sources using descriptive analysis methods and Likert scale.

scholarly journals ANALISA PENGANGKUTAN TANDAN BUAH SEGAR DENGAN TEKNIK SPC (Statistical Process Control)

2019 ◽  
Vol 3 (2) ◽  
pp. 103-109
Author(s):  
Dina Arfianti Saragih ◽  
Debby Sanandra ◽  
Washington Simbolon
Keyword(s):  
Crop Yields ◽  
Fresh Fruit ◽  
Process Time ◽  
Daily Production ◽  
Statistical Process ◽  
Fresh Fruit Bunch ◽  
Calculation Results ◽  
Fresh Fruit Bunches ◽  
North Sumatra ◽  
Descriptive Method

This study aims to determine the effectiveness of the Palm Oil Fresh Fruit Bunch transportation system. This research was conducted at Air Batu Estate Afdeling I PTPN IV, which is located in Asahan Regency, North Sumatra. This research was conducted in July to August 2018. The method used in this study was a descriptive method by taking data in the field about the arrangement of transportation of oil palm fresh fruit bunches. Observations made included information on the Air Batu estate, estimated daily harvest, transport transportation, daily production and transportation, and obstacles or obstacles to the transportation process. Based on observations made, it was found that: (1) The average loading process time for the rotation II was 64.22 minutes, the average time of the transport process from Afdeling I to PKS for the rotation II was 28.68 minutes, and the average time average unloading process at PKS is duration 18.30 minutes, (2) Based on the SPC for the value of Cp and Cpk for loading, transporting and unloading processing time can be said to be less effective with Cp and Cpk values <1, (3) Average number of trips per day in August 2018 which is 2 trips / day. The theoretical trip calculation results are 4 trips / day, (4) The average number of daily harvest production in August 2018 in Afdeling I of Batu Air Farm 34,542 kg TBS. Daily crop yields are still below the daily harvest planning target of 38,307 kg FFB, and (5) The speed of the truck is 12.6 km/hr, this is due to the damaged and bupy road.

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