Academic literature on the topic 'And fresh fruit bunch yields'

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Journal articles on the topic "And fresh fruit bunch yields"

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Imogie, A.E, C.V. Udosen, M.M Ugbah, and Utulu. S.N. "LONG TERM EFFECT OF LEUCAENA LEUCOCEPHALA ON SOIL PHYSICO-CHEMICAL PROPERTIES AND FRESH FRUIT BUNCH (FFB) PRODUCTION OF OIL PALM." Continental J. Agricultural Science 2 (August 7, 2008): 35–40. https://doi.org/10.5281/zenodo.839622.

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The study investigated a long-term effect of <em>Leucaena</em><em> leucocephala</em> a leguminous tree crop on the soil physico-chemical properties and its possible effect on the fresh fruit bunch (FFB) production of oil palm. <em>L</em><em>eucaena leucocephala</em> had a highly significant (P&lt;.01) effect on soil physico-chemical properties than the control. The soil under <em>L</em><em>eucaena leucocephala</em> exhibited relatively high mean weight diameter, water retention, total soil available N, available P and Exchangeable cation, than the control, and thus enhanced fresh fruit bunch (
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Sahidan, Ainul Shazwin. "FACTORS AFFECTING FRESH FRUIT BUNCH YIELDS OF INDEPENDENT SMALLHOLDERS IN SABAH." Oil Palm Industry Economic Journal 21, no. 2 (2021): 22–34. http://dx.doi.org/10.21894/opiej.2021.06.

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Pomantow, Frederik Joseph, Arthur Pinaria, and Wenny Tilaar. "KERAGAMAN FENOTIPE KELAPA DALAM DI KECAMATAN TENGA KABUPATEN MINAHASA SELATAN." AGRI-SOSIOEKONOMI 12, no. 1A (2016): 87. http://dx.doi.org/10.35791/agrsosek.12.1a.2016.11541.

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North Sulawesi province is known as one of the biggest coconut production in Indonesia. South Minahasa Regency is the biggest coconut production in the North Sulawesi Province. District of Tenga is one of major coconut production in South Minahasa Regency. Therefore, effort should be conducted in order to maintain the coconut production in District of Tenga. One effort to maintain coconut production in District of Tenga is to cultivate coconut varieties which can result high yield. High yield production of coconut can be resulted through plant breeding. In plant breeding, variation is paramete
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Akbar, A. R. M., A. D. Wibowo, and P. I. Prabandari. "Determining the Optimal Harvesting Time of Fresh Fruit Bunches Based on the Yield of Oil and Carotene." IOP Conference Series: Earth and Environmental Science 1290, no. 1 (2024): 012047. http://dx.doi.org/10.1088/1755-1315/1290/1/012047.

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Abstract The timing of harvesting oil palm fruit might affect the quality of the oil palm product. Mostly, The approximate number of palm oil fruits that have broken off from their bunches (loose-fruit) is usually used to measure the ripeness of fruit. The goal of this study was to establish the ideal harvesting period with variations in the amount of palm oil fruits that were loose from their bunches using two indicators: oil yield and carotene content. The variance was dependent on one factor: the number of days after the fruit was discovered unfastened from its bunch. The results showed tha
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Khor, Jen Feng, Lloyd Ling, Zulkifli Yusop, Wei Lun Tan, Joan Lucille Ling, and Eugene Zhen Xiang Soo. "Impact of El Niño on Oil Palm Yield in Malaysia." Agronomy 11, no. 11 (2021): 2189. http://dx.doi.org/10.3390/agronomy11112189.

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Oil palm crop yield is sensitive to heat and drought. Therefore, El Niño events affect oil palm production, resulting in price fluctuations of crude palm oil due to global supply shortage. This study developed a new Fresh Fruit Bunch Index (FFBI) model based on the monthly oil palm fresh fruit bunch (FFB) yield data, which correlates directly with the Oceanic Niño Index (ONI) to model the impact of past El Niño events in Malaysia in terms of production and economic losses. FFBI is derived from Malaysian monthly FFB yields from January 1986 to July 2021 in the same way ONI is derived from month
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Zaini, Muhammad Abbas Ahmad, and Mohd Shafiq Mohd Shaid. "Metal-Chloride-Activated Empty Fruit-Bunch Carbons for Rhodamine B Removal." Hungarian Journal of Industry and Chemistry 44, no. 2 (2016): 129–33. http://dx.doi.org/10.1515/hjic-2016-0016.

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Abstract This study aimed to investigate the adsorptive ability of activated carbons derived from empty boil palm fruitbunch carbons through metal-chloride activation. The derived activated carbons were characterized in terms of yield, pH, surface functional groups, and specific surface area. Rhodamine B dye was used as a pollutant probe to evaluate the performance of activated carbons. Results show that empty, ZnCl2-activated fruit-bunch carbon exhibits a higher surface area of 866 m2 g-1 and a Rhodamine B removal yield of 105 mg g-1. Activation at the same temperature of 600 °C using the rec
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Mataffo, Alessandro, Pasquale Scognamiglio, Carlo Molinaro, Giandomenico Corrado, and Boris Basile. "Early Canopy Management Practices Differentially Modulate Fruit Set, Fruit Yield, and Berry Composition at Harvest Depending on the Grapevine Cultivar." Plants 12, no. 4 (2023): 733. http://dx.doi.org/10.3390/plants12040733.

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The size and number of the berries and the rachis length are the main elements that define bunch compactness in grapevine (Vitis vinifera L.). This trait is of scientific and commercial interest because it strongly influences phytosanitary status and quality of the fruits. In this work, we investigated the effect of different canopy management strategies based on apical shoot and/or leaf removal applied at the early stage (pre-bloom) in altering the key determinants of bunch compactness. Specifically, we compared apical defoliation (removal of the first half of the shoot leaves from the top),
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Akbar, Arief Rahmad Maulana, Alan Dwi Wibowo, and Redi Santoso. "Investigation on the Optimal Harvesting Time of Oil Palm Fruit." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 12, no. 2 (2023): 524. http://dx.doi.org/10.23960/jtep-l.v12i2.524-532.

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The selection of the right timing for the harvest of oil palm fresh fruit bunch (FFB) can affect the outcome of the palm fruit quality, which can further imply the quality of crude palm oil (CPO). Truly ripen fruits can boost the yield and quality of crude palm oil. The determination of fruit ripeness is done with an approach to estimating the time of the harvest cycle and the approximate number of palm oil fruits that are detached from their bunches (loose-fruit). The study aimed to investigate the exact harvesting time with variations in the number of palm oil fruits that loose at each addit
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Hasibuan, Syahbudin, Hamdani Hamdani, and Retno Astuti Kuswardani. "The Effect of Empty Bunch Applications on Production of Oil Palm." Jurnal Penelitian Kelapa Sawit 31, no. 3 (2023): 191–200. http://dx.doi.org/10.22302/iopri.jur.jpks.v31i3.263.

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Empty fruit bunch are one of palm oil mills waste. The goal of this study was to see how empty fruit bunch (EFB) treatment affected the yield of fresh fruit bunches in oil palm trees. This was a descriptive study by observing oil palm plantations treated with organic material obtained from research or experiments. The observation was on the production of fresh fruit bunch (FFB). The data obtained came from oil palm plants' production data. Statistical analysis of observation parameters with significant effect was performed using the least significant difference (LSD) test. Any usage of empty f
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Kotur, S. C. "Direct Nutrient-Feeding to 'Ney Poovan' Banana (Musa Sp. AB) Bunch under Organic or Conventional Farming for Yield, Fruit Quality and Profitability." Journal of Horticultural Sciences 10, no. 1 (2015): 44–47. http://dx.doi.org/10.24154/jhs.v10i1.152.

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Three types of direct nutrient-feeding methods [applying 500g fresh cow-dung and 100ml water enriched with (i) 2.5g each of urea + SOP; (ii) 100ml of panchangavya; and (iii) 100ml of cow urine] were evaluated in 'Ney Poovan' banana grown under organic or conventional farming. Plants grown under conventional farming were more robust in girth and length of their pseudostem and number of leaves retained on the plant at harvest. Conventional farming produced 62.6% and 59.0% higher fruit and bunch weight than plants grown under organic farming. Quality-wise, fruits from organic farming were superio
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Book chapters on the topic "And fresh fruit bunch yields"

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Goh, Jin Yu, Yusri Md Yunos, and Mohamed Sultan Mohamed Ali. "Synthetic Data Generation for Fresh Fruit Bunch Ripeness Classification." In Communications in Computer and Information Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7240-1_22.

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Lim, Chun Hsion, Bing Shen How, Wendy Pei Qin Ng, Sue Lin Ngan, Steven Lim, and Hon Loong Lam. "Mathematical Modelling and Optimisation for Fresh Fruit Bunch Harvesting and Evacuation." In Sustainable Technologies for the Oil Palm Industry. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4847-3_9.

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Zamrosmahadi, Mohammad Afandi Mohd, Tan Jun Jie, H. Wessam, Ahmad Athif Mohd Faudzi, and Mohd Rizal Ahmad. "Mobile-Based Motorized Cutter Mechanism for Palm Oil Fresh Fruit Bunch Harvesting." In Robot Intelligence Technology and Applications 6. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97672-9_22.

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Frutos, Mariano, Fernando Tohmé, and Fabio Miguel. "A Genetic Algorithm's Approach to the Optimization of Capacitated Vehicle Routing Problems." In Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9644-0.ch008.

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This chapter addresses the family of problems known in the literature as Capacitated Vehicle Routing Problems (CVRP). A procedure is introduced for the optimization of a version of the generic CVRP. It generates feasible clusters and, in a first step, yields a coding of their ordering. The next stage provides this information to a genetic algorithm for its optimization. A selective pressure process is added in order to improve the selection and subsistence of the best candidates. This arrangement allows improving the performance of the algorithm. We test it using Van Breedam and Taillard's pro
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Conference papers on the topic "And fresh fruit bunch yields"

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Goh, Jin Yu, Yusri Md Yunos, Usman Ullah Sheikh, and Mohamed Sultan Mohamed Ali. "Vision Language Models for Oil Palm Fresh Fruit Bunch Ripeness Classification." In 2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2024. http://dx.doi.org/10.1109/icsipa62061.2024.10686009.

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Jailani, Bayhaqi Mohd, Muhammad Farhan Mustafa, Zulaikha Kadim, Hon Hock Woon, and Lee Chia Chie. "Fresh Fruit Bunch Detection Performance: A Comparative Evaluation of Training Strategies." In 2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2024. https://doi.org/10.1109/ispacs62486.2024.10867934.

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Tang, Tiong Yew, Chian C. Ho, and Geetha Nadarajan. "Markerless feature-registration-based image processing framework for oil palm fresh fruit bunch robotic harvester." In International Workshop on Advanced Imaging Technology (IWAIT) 2025, edited by Jae-Gon Kim, Chia-Hung Yeh, Kemao Qian, Masayuki Nakajima, Chuan-Yu Chang, and Phooi Yee Lau. SPIE, 2025. https://doi.org/10.1117/12.3057866.

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Mustafa, Muhammad Farhan, Zulaikha Kadim, Wan Zuha Wan Hasan, et al. "Development of Autonomous Arm Control System of Mechanical Buffalo Grabber for Fresh Fruit Bunch Collection." In 2024 IEEE International Conference on Agrosystem Engineering, Technology & Applications (AGRETA). IEEE, 2024. https://doi.org/10.1109/agreta61912.2024.10949004.

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Husin, Husna Sarirah, Nurnasuha Amar, Aznida Abu Bakar Sajak, and Mohd Sallehin Mohd Kassim. "Distribution map of oil palm fresh fruit bunch using LiDAR." In 2021 12th International Conference on Information and Communication Systems (ICICS). IEEE, 2021. http://dx.doi.org/10.1109/icics52457.2021.9464575.

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Fadilah, Norasyikin, Junita Mohamad Saleh, Haidi Ibrahim, and Zaini Abdul Halim. "Oil palm fresh fruit bunch ripeness classification using artificial neural network." In 2012 4th International Conference on Intelligent & Advanced Systems (ICIAS). IEEE, 2012. http://dx.doi.org/10.1109/icias.2012.6306151.

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Daud, Marizuana Mat, Zulaikha Kadim, and Hon Hock Woon. "Loose Fruitlet and Fresh Fruit Bunch Detection for Palm Oil Harvest Management." In 2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS). IEEE, 2022. http://dx.doi.org/10.1109/iotais56727.2022.9975972.

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Aziz, A. H. Abdul, A. H. Ismail, R. B. Ahmad, et al. "Design of a capacitive sensor for oil palm fresh fruit bunch maturity grading." In 2014 2nd International Conference on Electronic Design (ICED). IEEE, 2014. http://dx.doi.org/10.1109/iced.2014.7015846.

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Kresnawaty, I., D. Santoso, and S. Hudiyono. "Isolation and Activation of Fresh Fruit Bunch Oil Palm Acetyl Co-A Carboxylase." In 10th International Seminar and 12th Congress of Indonesian Society for Microbiology (ISISM 2019). Atlantis Press, 2021. http://dx.doi.org/10.2991/absr.k.210810.027.

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bin Mat Seri, Abdul Dzuljalal Ikram, Mohd Sallehin bin Mohd Kassim, Siti Rahmah binti Abdul Rahman, and Aznida Abu Bakar Sajak. "Development of Virescens Fresh Fruit Bunch Ripeness Prediction using LiDAR for Smart Agriculture." In 2021 IEEE Region 10 Symposium (TENSYMP). IEEE, 2021. http://dx.doi.org/10.1109/tensymp52854.2021.9550981.

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