An integrated system for field studies on honey bees

Lebah madu adalah jenis serangga social yang hidup berkoloni. Lebah memiliki manfaat bagi kehidupan manusia yaitu dalam proses penyerbukan tanaman serta menghasilkan madu yang dapat dikonsumsi karena memilki nilai gizi yang tinggi. Pada sistem peternakan lebah modern ada beberapa hal yang perlu diperhatikan yaitu iklim, lokasi sarang lebah dengan ketersediaan tanaman (bunga) yang menjadi sumber makan bagi lebah dan material sarang lebah. Pada penelitian ini telah dibuat suatu sistem terpadu yang terdiri dari 3 bagian penyusun sistem yaitu hardware yang terdiri dari sensor suhu, kelembaban, load cell dan geo lokasi (penentu lokasi) berikutnya adalah software yang terdiri dari Web Server dan aplikasi Android yang berisi data hasil pembacaan sensor yang disajikan dalam bentuk grafik sehingga memudahkan pembacaan hasil monitoring dari hardware, serta notifikasi apabila tiba saat pemanenan sarang atau kondisi suhu dan kelembaban yang tidak sesuai dengan standar tidak terpenuhi. Hasil pengujian sistem ini didapatkan bahwa Suhu optimal pada kandang lebah dapat dipertahankan dengan aktuator. Aktuator dapat mepertahankan suhu dari 34,4 ℃ ke 32,9℃ selama 1 menit 5 detik dan dari 31,2 ℃ ke 32,2 ℃ selama 1 menit 15 detik. Aplikasi web dan android ini mempermudah para peternak lebah untuk mengelola kondisi sarang lebah dari hasil pengujian untuk monitoring kondisi sarang lebah dapat berjalan dengan baik, dimana data yang ditampilkan adalah suhu, kelembaban dan berat. Honey bees are a type of social insect that live in colonies. Bees have benefits for human life, namely in the process of pollinating plants and producing honey that can be consumed because of their high nutritional value. In the modern beekeeping sistem, there are several things that need to be considered, namely the climate, the location of the beehive and the availability of plants (flowers) which are a source of food for bees and beehive materials. In this research, an integrated system consisting of 3 parts of the system has been created, namely Hardware consisting of temperature, humidity, load cell and geo location sensors. Next is the software consisting of a Web Server and an Android application that contains reading data. sensors are presented in graphical form to facilitate reading of monitoring results from Hardware, as well as notifications when nest harvesting arrives or temperature and humidity conditions that do not comply with standards are not met. The test results of this system show that the optimal temperature in the beehive can be maintained with an actuator. The actuator can maintain temperature from 34.4 ℃ to 32.9 ℃ for 1 minute 5 seconds and from 31.2 ℃ to 32.2 ℃ for 1 minute 15 seconds. This Web and Android application makes it easier for beekeepers to manage the conditions of the beehive. From the test results for monitoring the conditions of the beehive, it can run well, where the data displayed is temperature, humidity and weight.

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The Evaluation of Decision-Making Support Systems' Functionality

Encyclopedia of Decision Making and Decision Support Technologies ◽

10.4018/978-1-59904-843-7.ch038 ◽

2011 ◽

pp. 329-338 ◽

Cited By ~ 4

Author(s):

Giusseppi Forgionne ◽

Stephen Russell

Keyword(s):

Decision Making ◽

Support System ◽

Support Systems ◽

Field Studies ◽

Integrated System ◽

Management Support ◽

Individual System ◽

Management Support Systems ◽

Independent Effects ◽

Decision Making Support

Contemporary decision-making support systems (DMSSs) are large systems that vary in nature, combining functionality from two or more classically defined support systems, often blurring the lines of their definitions. For example, in practical implementations, it is rare to find a decision support system (DSS) without executive information system (EIS) capabilities or an expert system (ES) without a recommender system capability. Decision-making support system has become an umbrella term spanning a broad range of systems and functional support capabilities (Alter, 2004). Various information systems have been proposed to support the decision-making process. Among others, there are DSSs, ESs, and management support systems (MSSs). Studies have been conducted to evaluate the decision effectiveness of each proposed system (Brown, 2005; Jean-Charles & Frédéric, 2003; Kanungo, Sharma, & Jain, 2001; Rajiv & Sarv, 2004). Case studies, field studies, and laboratory experiments have been the evaluation vehicles of choice (Fjermestad & Hiltz, 2001; James, Ramakrishnan, & Kustim, 2002; Kaplan, 2000). While for the most part each study has examined the decision effectiveness of an individual system, it has done so by examining the system as a whole using outcome- or user-related measures to quantify success and effectiveness (Etezadi-Amoli & Farhoomand, 1996; Holsapple & Sena, 2005; Jain, Ramamurthy, & Sundaram, 2006). When a study has included two or more systems, individual system effects typically have not been isolated. For example, Nemati, Steiger, Lyer, and Herschel (2002) presented an integrated system with both DSS and AI (artificial intelligence) functionality, but they did not explicitly test for the independent effects of the DSS and AI capabilities on the decision-making outcome and process. This article extends the previous work by examining the separate impacts of different DMSSs on decision effectiveness.

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FIELD STUDIES OF QUEEN HONEY BEES (HYMENOPTERA: APIDAE) REARED BY SMALL NUMBERS OF CAGED WORKER BEES

The Canadian Entomologist ◽

10.4039/ent107705-7 ◽

1975 ◽

Vol 107 (7) ◽

pp. 705-709

Author(s):

Ying-Shin Liu ◽

S. C. Jay

Keyword(s):

Small Groups ◽

Honey Bees ◽

Field Studies ◽

Morphological Characters ◽

Economic Aspects ◽

Brood Production ◽

Mating Ability ◽

Rearing Method ◽

Anatomical Characters ◽

Cage Rearing

AbstractQueen honey bees were reared in the laboratory in cages by small groups of worker bees; the queens were then introduced to small nuclei to test their acceptance, mating ability, brood patterns, and brood production. Later, certain morphological and anatomical characters were measured. No significant differences in sealed brood, total brood, or in selected morphological characters were found between control queens and those reared in the laboratory. The possible economic aspects of this cage rearing method are discussed.

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Application of Herbal Essential Oil Extract Mixture for Honey Bees (Apis mellifera L.) Against Nosema ceranae and Nosema apis

Journal of Apicultural Science ◽

10.2478/jas-2021-0010 ◽

2021 ◽

Vol 65 (1) ◽

pp. 163-175

Author(s):

Asli Özkırım ◽

Billur Küçüközmen

Keyword(s):

Essential Oil ◽

Honey Bees ◽

Field Studies ◽

Nosema Ceranae ◽

Distilled Water ◽

Herbal Extracts ◽

Nosema Apis ◽

Effective Doses ◽

Oil Extract ◽

Application Methods

Abstract In recent years, interest in herbal essential oil extracts for the treatment of nosemosis has steadily increased. The great importance of this study is in evaluating and validating the synergistic effect caused by the mixture of different herbal extracts. The aim of the study was to investigate through cage experiments and field studies the effect of mixed herbal essential oil extracts and to determine the most suitable application methods and doses of the product in the treatment of nosemosis. The duration of the experiments was three weeks. Results show that the herbal essential oil extract mixture (HEOEM) is effective on both Nosema apis and Nosema ceranae, and on the two together (mixed infection). With respect to application methods, the results revealed that the most suitable method is spraying HEOEM with sterilized distilled water on adult bees and on both sides of frames; 500 µL per cage and 2,000 µL per frame were found to be effective doses of HEOEM in the experimental cages and hives. HEOEM can be a viable alternative to synthetic products in the immediate future as the contents are natural and have no toxic effect on honey bees.

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The Evaluation of Decision-Making Support Systems' Functionality

Strategic Information Systems ◽

10.4018/978-1-60566-677-8.ch013 ◽

2011 ◽

pp. 149-160

Author(s):

Giusseppi Forgionne ◽

Stephen Russell

Keyword(s):

Decision Making ◽

Support System ◽

Support Systems ◽

Field Studies ◽

Integrated System ◽

Management Support ◽

Individual System ◽

Management Support Systems ◽

Independent Effects ◽

Decision Making Support

Contemporary decision-making support systems (DMSSs) are large systems that vary in nature, combining functionality from two or more classically defined support systems, often blurring the lines of their definitions. For example, in practical implementations, it is rare to find a decision support system (DSS) without executive information system (EIS) capabilities or an expert system (ES) without a recommender system capability. Decision-making support system has become an umbrella term spanning a broad range of systems and functional support capabilities (Alter, 2004). Various information systems have been proposed to support the decision-making process. Among others, there are DSSs, ESs, and management support systems (MSSs). Studies have been conducted to evaluate the decision effectiveness of each proposed system (Brown, 2005; Jean-Charles & Frédéric, 2003; Kanungo, Sharma, & Jain, 2001; Rajiv & Sarv, 2004). Case studies, field studies, and laboratory experiments have been the evaluation vehicles of choice (Fjermestad & Hiltz, 2001; James, Ramakrishnan, & Kustim, 2002; Kaplan, 2000). While for the most part each study has examined the decision effectiveness of an individual system, it has done so by examining the system as a whole using outcome- or user-related measures to quantify success and effectiveness (Etezadi-Amoli & Farhoomand, 1996; Holsapple & Sena, 2005; Jain, Ramamurthy, & Sundaram, 2006). When a study has included two or more systems, individual system effects typically have not been isolated. For example, Nemati, Steiger, Lyer, and Herschel (2002) presented an integrated system with both DSS and AI (artificial intelligence) functionality, but they did not explicitly test for the independent effects of the DSS and AI capabilities on the decision-making outcome and process. This article extends the previous work by examining the separate impacts of different DMSSs on decision effectiveness.

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Integrated simulation system of CO2 gas injection application for enhanced oil recovery in the oil field

Journal of Petroleum Exploration and Production Technology ◽

10.1007/s13202-020-00955-9 ◽

2020 ◽

Vol 10 (8) ◽

pp. 3917-3923

Author(s):

Dedy Kristanto ◽

Yulius Deddy Hermawan ◽

Hariyadi ◽

Yusmardhany Yusuf

Keyword(s):

Enhanced Oil Recovery ◽

Oil Recovery ◽

Gas Injection ◽

Field Studies ◽

Pilot Scale ◽

Integrated System ◽

Oil Field ◽

Viscosity Reduction ◽

Productivity Index ◽

Final Decision

Abstract CO2 gas injection is one of the recommended enhanced oil recovery (EOR) methods by injecting CO2 through reservoir pores after the residual saturation is reached, since CO2 dissolves easily in oil phase as confirmed by many other researchers in pertaining field studies. An integrated system is urgently required for assessing CO2-EOR study, covering multi-disciplinary aspects as follows: geology, geophysics, reservoir, production, process and economic. Hence, those systems must be reliable in suggesting final decision for feasibility of CO2-EOR operation program, applicable either for pilot scale or for full scale. This paper is proposing an integrated system evaluation, which has the following features: (1) estimate fraction of dissolved CO2, (2) estimate viscosity reduction, (3) estimate future oil productivity index resulted, (4) forecast incremental oil production, (5) estimate surface facilities equipment design, (6) evaluate economical aspects and (7) generate final decision for feasibility of CO2-EOR operation program. Finally, as the main objective of this program, those systems will present a picture of essential reason why we need to promote or reject CO2-EOR plan program, and also some recommendations will be presented in case the CO2-EOR plan does not perform as expected.

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Lactobacillus kunkeei strains decreased the infection by honey bee pathogens Paenibacillus larvae and Nosema ceranae

Beneficial Microbes ◽

10.3920/bm2017.0075 ◽

2018 ◽

Vol 9 (2) ◽

pp. 279-290 ◽

Cited By ~ 25

Author(s):

D. Arredondo ◽

L. Castelli ◽

M.P. Porrini ◽

P.M. Garrido ◽

M.J. Eguaras ◽

...

Keyword(s):

Honey Bees ◽

Animal Health ◽

Food Additives ◽

Field Studies ◽

Nosema Ceranae ◽

Paenibacillus Larvae ◽

Wide Range ◽

Bee Health ◽

Immune Related Genes ◽

Lactobacillus Kunkeei

Due to their social behaviour, honey bees can be infected by a wide range of pathogens including the microsporidia Nosema ceranae and the bacteria Paenibacillus larvae. The use of probiotics as food additives for the control or prevention of infectious diseases is a widely used approach to improve human and animal health. In this work, we generated a mixture of four Lactobacillus kunkeei strains isolated from the gut microbial community of bees, and evaluated its potential beneficial effect on larvae and adult bees. Its administration in controlled laboratory models was safe for larvae and bees; it did not affect the expression of immune-related genes and it was able to decrease the mortality associated to P. larvae infection in larvae and the counts of N. ceranae spores from adult honey bees. These promising results suggest that this beneficial microorganism’s mixture may be an attractive strategy to improve bee health. Field studies are being carried out to evaluate its effect in naturally infected colonies.

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Testing Honey Bees’ Avoidance of Predators

The American Biology Teacher ◽

10.1525/abt.2012.74.7.5 ◽

2012 ◽

Vol 74 (7) ◽

pp. 452-457 ◽

Cited By ~ 1

Author(s):

Jesse Wade Robinson ◽

James C. Nieh ◽

Eben Goodale

Keyword(s):

Apis Mellifera ◽

Honey Bees ◽

Science Inquiry ◽

Field Studies ◽

School Science ◽

High School Science ◽

Science Students ◽

Scientific Process ◽

Student Knowledge ◽

Scientific Papers

Many high school science students do not encounter opportunities for authentic science inquiry in their formal coursework. Ecological field studies can provide such opportunities. The purpose of this project was to teach students about the process of science by designing and conducting experiments on whether and how honey bees (Apis mellifera) avoid predators. Students summarized their findings in scientific papers and presentations to research scientists. We found that this project increased student knowledge of the scientific process, scientific writing, what scientists do, and the importance of the environment.

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Use of environmentally safe preventive remedy against ascospherosis

BIO Web of Conferences ◽

10.1051/bioconf/20201700032 ◽

2020 ◽

Vol 17 ◽

pp. 00032

Author(s):

Aleksandr Ivanovich Liubimov ◽

Svetlana Leonidovna Vorobeva ◽

Elena Mullanurovna Kisliakova ◽

Galina Iurevna Berezkina ◽

Ekaterina Dmitrievna Mushtaleva

Keyword(s):

Honey Bees ◽

Raw Materials ◽

Antimicrobial Properties ◽

Field Studies ◽

Ascosphaera Apis ◽

Environmentally Safe ◽

Medicinal Food ◽

Group 2 ◽

Experimental Group ◽

Group 1

Death of bee families in many countries has led to a reduction in the number of honey bees, a reduction in their medicinal food products and pollination activity. Honey bees are susceptible to various diseases of an infectious nature, including a disease such as ascospherosis caused by Ascosphaera apis fungus. The treatment of bee families against this disease with a preventive natural remedy, without the use of antibiotics and chemicals, is included in the concept of organic bee-farming and leads to a decrease in the percentage of affected families. Two groups of bee families treated with prophylactic compounds from natural raw materials were analyzed in the course of the research: experimental group № 1 (garlic, wormwood with vitamin C); experimental group № 2 (garlic and 5% iodine solution). Laboratory and field studies confirm the greatest effectiveness of garlic and iodine composition. There is a reduction in infection of bee brood due to the active substance allicin, which carries antimicrobial properties and, accordingly, increases the number of working flying bees.

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Pollinator behaviour in cultivated and wild Arctic Bramble (Rubus arcticus L.)

Agricultural and Food Science ◽

10.23986/afsci.72349 ◽

1989 ◽

Vol 61 (1) ◽

pp. 33-38

Author(s):

Jaakko Kangasjärvi ◽

Jari Oksanen

Keyword(s):

White Clover ◽

Trifolium Repens ◽

Honey Bees ◽

Field Studies ◽

Bumble Bees ◽

The Arctic ◽

Pollinator Behaviour ◽

Nearest Neighbours ◽

Natural Stands

Arctic bramble (Rubus arcticus) is a clonally growing, insect-pollinated, self-incompatible plant which is cultivated for its berries. In field studies of cultivated and natural stands it was observed that the pollinators (bumble bees and honey bees) foraged optimally, i.e., flight was towards the nearest flower. Therefore, in cultivation the plants should be planted so that the nearest neighbours belong to different clones. In general, the pollinators preferred white clover (Trifolium repens), growing as a weed, and cultivated strawberry as opposed to the arctic bramble. These plants appeared to be severe competitors for the pollinators, and care should therefore be taken to reduce their influence.

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