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Добірка наукової літератури з теми "Farmer trainer"

Автор: Grafiati

Опубліковано: 11 січня 2025

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Статті в журналах з теми "Farmer trainer"

Kiptot, Evelyne, Monica Karuhanga, Steven Franzel, and Paul Benjamin Nzigamasabo. "Volunteer farmer-trainer motivations in East Africa: practical implications for enhancing farmer-to-farmer extension." International Journal of Agricultural Sustainability 14, no. 3 (February 5, 2016): 339–56. http://dx.doi.org/10.1080/14735903.2015.1137685.

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Kiptot, Evelyne, and Steven Franzel. "Developing sustainable farmer-to-farmer extension: experiences from the volunteer farmer–trainer approach in Kenya." International Journal of Agricultural Sustainability 17, no. 6 (November 2, 2019): 401–12. http://dx.doi.org/10.1080/14735903.2019.1679576.

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Hastuti, Ahyar Ismail, Dea Amanda, Arini Hardjanto, and Fitri Dewi Raswatie. "IbM Implementation of SRI Method in Semi Organic Rice Farm in Pasarean Village, Pamijahan Subdistrict, Bogor District." Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat 4, no. 2 (November 26, 2018): 125. http://dx.doi.org/10.29244/agrokreatif.4.2.125-134.

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Most rice farmers in Pamijahan Subdistrict cultivate in traditional way and have relatively low income. Farmer’s low income was caused by low productivity so farmer welfare also decrease. Traditional methods in cultivation also affect the environment because of high usage of chemical fertilizer. This community service program aims to increase farmer’s income in Pamijahan Subdistrict by introducing System of Rice Intensification (SRI) method using organic fertilizer. The main activities are: instituional strengthening, SRI training and cultivation practice (pilot project). The expected outcome of this community service activity is to increase production by using less input and to get higher selling price for organic rice. There are four steps in this program is: planning, organizing, actuating and controlling. The sequence is: 1) Program preparation, consist of: program socialization, institutional strengthening, cooperation with SRI trainer, preparation of experimental field, seed and agricultural equipment; 2) Institutional strengthening with rice farmer; 3) SRI method training with trainers from Nagrak Organic SRI Center to change farmer’s mindset and train farmers about SRI cultivation method; 4) Cultivation in experimental field (650 m2), where farmers practice to cultivate rice with SRI method; 5) Experimental field harvesting, unhuled rice yielded around 65 kg or 30–40 kg of rice; and 6) Supervision during the experimental cultivation by IPB lecturers and village officials.

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Holm, Rochelle H., and Alice Ngulube Magombo. "Between water stewardship and independent global water certification: learning from smallholder rice farmers, Karonga, Malawi." Waterlines 40, no. 1 (January 1, 2021): 61–72. http://dx.doi.org/10.3362/1756-3488.20-00006.

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Cooperation and locally driven water management are at the forefront of food production water management for smallholder farmers in low-income countries. The aim of this paper was to critically reflect on the experiences of 5,819 smallholder rice farmers in Karonga District, Malawi, who were members of a farmers’ organization that achieved improved water stewardship, but could not achieve Alliance for Water Stewardship certification within a three-year project. The data for this paper were obtained through farmer and stakeholder interviews. The partnership attempted to bring together four parties: academics, farmers, local government, and a non-governmental organization. The farmers were trained by combining stewardship and certification topics through a train-the-trainer approach. The farmers’ organization primarily focuses on agribusiness; therefore, they did not have any water-related data or detailed farm boundaries from the large and dispersed group of farmers and could not obtain a collective water permit. Understanding water governance was difficult for many farmers. Furthermore, moving from stewardship to certification presented some financial challenges. Critical thinking and questioning are required, along with a deeper understanding of the local context, logistical hindrances, priorities, alternatives, culture, and science, to evaluate how projects are designed and partially succeed or fail from the perspective of low-income farmers in the Global South.

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Budiyanto, Moch Agus Krisno, Tien Aminah, H. Husamah, Fendy Hardian Permana, and Lud Waluyo. "Sitokinin Organik: Pendampingan Kelompok Tani Sumber Urip-1 Desa Wonosari Kecamatan Poncokusumo Kabupaten Malang." Sasambo: Jurnal Abdimas (Journal of Community Service) 2, no. 3 (October 30, 2020): 143–52. http://dx.doi.org/10.36312/sasambo.v2i3.309.

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Mitra dalam pengabdian masyarakat ini Kelompok Tani Sumber Urip-1 yang berlokasi di Desa Poncokusumo Kecamatan Wonorejo Kabupaten Malang Provinsi Jawa Timur-mengalami kendala penggunaan sitokinin organik, yaitu pasokan sitokinin organik terkadang tidak lancar dan harganya mahal sedangkan di banyak daerah mitra terdapat potensi biologis yang dapat digunakan sebagai bahan organik sitokinin. Setelah berdiskusi dengan mitra, permasalahan kongkrit dan prioritas yang akan dibenahi, yaitu 1) Mitra belum menguasai cara pembuatan sitokinin organik berbasis potensi lokal dan 2) Mitra belum menguasai cara penggunaan sitokinin organik menurut bahan baku lokal yang digunakan pada tanaman tertentu. Solusi yang akan dilakukan adalah 1) melakukan pelatihan dan pendampingan produksi sitokinin organik dan 2) pelatihan dan pendampingan sitokinin organik menggunakan ToT Organik (Training of Trainer) yang diikuti oleh 5 orang petani dari perwakilan Kelompok Tani Sumber Urip-1. Hasil pelatihan dan pendampingan selanjutnya disebarluaskan kepada anggota petani lainnya. Melalui rangkaian kegiatan pelatihan, dan pendampingan pembuatan dan pemanfaatan sitokinin organik di Kelompok Tani Sumber Urip-1 Desa Wonorejo, Kecamatan Poncokusumo, Kabupaten Malang, mitra PPMI telah menguasai: 1) cara produksi auksin dan giberelin organik dan 2) Metode penggunaan sitokinin. Produk sitokinin organik diberi merk “Sitonik-BP” (dari Bonggol Pisang) dan “Sitonik-JM” (dari Jagung Muda)Organic Cytokinins: Mentoring to Sumber Urip-1 Farmer Group in Wonosari Village, Poncokusumo District, Malang Regency. Partners in this community service-Sumber Urip-1 Farmer Group, located in Poncokusumo Village, Wonorejo District, Malang Regency, East Java Province-experienced problems in the use of organic cytokines, namely the supply of organic cytokinins sometimes not smooth and expensive, while in many partner areas there is biological potential can be used as cytokinin organic matter. After discussions/deliberations with partners, concrete issues and priorities that will be addressed, namely 1) Partners have not mastered how to make organic cytokinins based on local potential and 2) Partners have not mastered how to use organic cytokinins according to local raw materials used in certain plants. Solutions to be undertaken are 1) conducting training and mentoring of organic cytokinins production and 2) training and mentoring of cytokinins organic ToT (Training of Trainer) followed by 5 farmers from representatives of Sumber Urip-1 Farmers Group. The results of further training and assistance are disseminated to other farmer members. Through a series of training activities, and assisting the manufacture and use of organic cytokinins at Sumber Urip-1 Farmer Group Wonorejo Village, Poncokusumo Sub-district, Malang Regency, the PPMI partners have mastered: 1) organic cytokinin production methods and 2) Methods of cytokinins use. Organic cytokinin products are branded "Sitonik-BP" (from Banana Veewil), and "Sitonik-JM" (from corn).

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Yangchan, Jigmet, and D. Namgyal. "Vermicomposting Transformed Farmers Livelihood: A Case Study from the Cold Desert (Ladakh)." International Journal of Current Microbiology and Applied Sciences 12, no. 12 (December 10, 2023): 56–60. http://dx.doi.org/10.20546/ijcmas.2023.1212.008.

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Vermicompost has adequate amount of micronutrient and macronutrients depending on sources of earthworm’s feedstock. Earthworm promotes soil fragmentation and increase aeration of soil by volume 8-30 per cent. Vermicompost has at least four times more plant nutrients than conventional cattle dung compost. Vermicomposting is a source of creating self employment and revenue generation. This is an easy and faster process of converting organic matter into compost than other conventional methods. A farmer Shri Lobzang Thardot took skill development training under Vermicompost producer and adopted vermicomposting for his livelihood and started from a very small scale and became a successful producer of quality product. He argued that his product is demanded by nearby farmers, NGO’s and government organizations of Ladakh. Moreover, he is encouraging interested farmers to prepare this multifunctional quality product on their own farms so that farming community can be benefitted. He became the role model cum master trainer for entire farming community of Ladakh.

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Setiati, Ning, Ely Rudyatmi, Krispinus Kedatipukan, and Dyah Rini Indriyanti. "Assistance of Indigofera Cultivation as Batik Natural Dyes in Kampung Alam Malon, Gunungpati Semarang." Journal of Dedicators Community 5, no. 1 (January 30, 2021): 37–48. http://dx.doi.org/10.34001/jdc.v5i1.1142.

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This community service aim to motivate kelompok Tani Gunungpati 03 Kampung Alam Malon and kelompok Tani Gunungpati 02 Nglarang, Gunungpati to start planting Indigofera. Production can be used to fulfill a part of batik natural dye for cheaper. Special target is availability qualified Indigofera with criteria dark green leaves (green bluish) and oval shape with brownish black seed. The target is from 1000 seeds can be generate 1000 qualified plant ready to harvest in 3 months, and next re-harvest in 2 months. Some activities already done such as socialization community service attended by 36 of farmer team and they held active discussion about the use and additional income from planting indigo. Training in make natural dye paste from indigo is given to 15 of farmer team by experienced trainer. The result of this activity were the farmer group be able to cultivate indigofera, built 2 water shelter to drainage indigo plant. The result of seedlings is not satisfied yet because the growth of sprouts were not simultaneously and not applying hormone gibrelin technology so that for next step need revision in raise seeding. The farmer group ca easily harvest their indigofera to make paste for batik dye color

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Lund, T., I. Nyborg, MH Rahman, and MG Sæthre. "Social impacts of IPM-FFS on urban and peri-urban vegetable producers in Cotonou, Benin." African Journal of Food, Agriculture, Nutrition and Development 13, no. 58 (July 10, 2013): 7727–45. http://dx.doi.org/10.18697/ajfand.58.11420.

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Shifting from scientist-led top-down approaches in agricultural development to participatory approaches putting farmers and their knowledge in the center requires scientists and farmers to play new roles, changing social relationships between them, and among farmers themselves. Using mainly qualitative data and analysis, this paper reports social impacts (social relations, social empowerment and sharing of IPM information, and sustainability and institutionalization of IPM) for vegetable producers in an integrated pest management (IPM) project using farmer field schools (FFS) in Cotonou. Forty-three vegetable producers were chosen for semi-structured interviews. The project led to social empowerment of the vegetable producers and initiated a process of creation and sharing of IPM knowledge and building of social relations within and between the vegetable gardens. The participants realized they were sources of information for each other, and IPM knowledge was shared without the benefit or restriction of social networks. However, this study revealed several factors hindering the development of improved social relations among the vegetable producers and between these and the scientists and steering committee members, which in turn may result in lack of continuation and institutionalization of IPM activities. To overcome these obstacles, this research suggests that similar IPM-FFS projects encourage (1) a transparent selection process, (2) improvement of the Trainer of Trainers’ facilitation skills for better quality FFSs and improved sharing of complex information like agro-ecosystem analysis and beneficial insects, (3) building trust and confidence between the participants and scientists, (4) giving the ToT participants, community organizers and farmer organizations ownership of the project by giving them responsibility for creating post project plans to spread and institutionalize IPM of IPM-FFS activities and (5) facilitating the participants during and after the project in improving social relations and accountability. The results also draw lessons on how scientists and vegetable producers have or should have changed their roles to sustain and institutionalize IPM, such as the scientists and project leaders need to focus even more on their interactions with vegetable producers, enhancing their role as facilitators in initiating equitable processes of sustaining and institutionalizing IPM in the vegetable gardens.

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Kiptot, Evelyne, and Steven Franzel. "Stakeholder planning of the institutionalization of the volunteer farmer-trainer approach in dairy producer organizations in Kenya: key steps and supporting mechanisms." International Journal of Agricultural Sustainability 17, no. 1 (December 31, 2018): 18–33. http://dx.doi.org/10.1080/14735903.2018.1558581.

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Дисертації з теми "Farmer trainer"

Fall, Fatou. "Shocks, pro-sociality, and information : Three essays on agricultural development and farmers' behavior in Sub-Saharan Africa." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLD032.

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Cette thèse vise à apporter des éclairages la manière dont des stratégies telles que l'utilisation des réseaux sociaux et l'amélioration de l'accès à l'information peuvent aider les ménages des milieu ruraux majoritairement composés de petits exploitants agricoles. En explorant la dynamique des interactions entre agriculteurs et le rôle de la diffusion de l'information ainsi que les stratégies d'adaptation face à des chocs, nous cherchons à identifier des approches efficaces pour promouvoir le développement agricole et rural en Afrique subsaharienne. Le premier chapitre examine si des modifications à moindre coût du modèle standard des agriculteurs-formateurs (AF) permettraient une meilleure diffusion atteignant, en particulier, les agriculteurs socialement éloignés de l'AF. Dans le deuxième chapitre, nous explorons si des motivations alternatives à des incitations économiques peuvent jouer un rôle pour la sécurité alimentaire. Le troisième chapitre analyse l'impact des réfugiés maliens sur les ménages ruraux nigériens
This thesis aims to shed light on how strategies such as the use of social networks and improved access to information can assist rural households primarily composed of smallholder farmers. By exploring the dynamics of interactions among farmers and the role of information diffusion, as well as adaptation strategies in response to shocks, we seek to identify effective approaches to promote agricultural and rural development in Sub-Saharan Africa. The first chapter examines whether low-cost modifications to the standard farmer-trainer (FT) model could lead to better dissemination, particularly reaching farmers who are socially distant from the FT. In the second chapter, we explore whether alternative motivations to economic incentives can play a role in food security. The third chapter analyzes the impact of Malian refugees on rural households in Niger

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Landmann, Dirk Hauke. "Capacity development of small-scale farmers in developing countries: Analysis of preferences and the role of information and communication technologies." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E505-2.

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Книги з теми "Farmer trainer"

van, Veldhuizen Laurens, Waters-Bayer Ann, and Zeeuw Henk de, eds. Developing technology with farmers: A trainer's guide. London: Zed Books, 1997.

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Gurung, Min Bahadur. Beekeeping training for farmers in the Himalayas: Resource manual for trainers. Kathmandu: International Centre for Integrated Mountain Development, 2012.

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FAO Sub-Regional Office for the Pacific Islands. Helping small farmers think about better growing and marketing: An introduction for trainers and specialists. Apia, Samoa: FAO, Sub-Regional Office for the Pacific Islands, 2003.

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Illinois. Commercial & Farm Truck Division. Farm & mileage tax registration & installment payments. Springfield, IL: Secretary of State, Commercial and Farm Truck Division, 2007.

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Verkerk, Robert Henry James. Farmers' friends: Recognition and conservation of natural enemies of vegetable pests : a field guide for extension staff and trainers in Zimbabwe. London: Department of Biology, Imperial College of Science,Technology & Medicine, 2001.

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Hill, Cherry. Equipping your horse farm: Tractors, trailers, trucks & more. North Adams, MA: Storey Pub., 2006.

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North, Dennis E. Orphan train. Qunicy, MA: Baker's Plays, 2003.

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DeFerie, Steph. After The Rain King. Quincy, Mass: Baker's Plays, 2003.

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Amery, Heather. Dolly and the train. London: Usborne, 2004.

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Amery, Heather. Princesse sauve le train. London: Usborne, 2000.

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Частини книг з теми "Farmer trainer"

Yirzagla, Julius, Ibrahim K. D. Atokple, Mohammed Haruna, Abdul Razak Mohammed, Desmond Adobaba, Bashiru Haruna, and Benjamin Karikari. "Impacts of Cowpea Innovation Platforms in Sustaining TL III Project Gains in Ghana." In Enhancing Smallholder Farmers' Access to Seed of Improved Legume Varieties Through Multi-stakeholder Platforms, 171–83. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8014-7_12.

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AbstractOver the past decades, farm-level yields of cowpea have remained low (0.6–0.8 t/ha) compared to what is observed on research fields (1.8–2.5 t/ha). Lack of farmer access to quality seeds of improved varieties and inappropriate cultural practices are the major factors responsible for the low productivity of the crop. The use of Innovative Platforms (IPs) as a strategy to facilitate farmer access to quality seeds was, therefore, considered under the Tropical Legume (TL) III and USAID Cowpea Outscaling projects in Northern Ghana. The platform activities started in 2016 with a total membership of 100, which increased steadily to 820 by December 2018. The research team of the Council for Scientific and Industrial Research-Savannah Agricultural Research Institute (CSIR-SARI) trained platform members to produce certified seeds to be supplied to target communities, thereby enhancing smallholder farmers’ access to improved varieties. A total of 1848 members of the platform were trained in various farm operations. A revolving system was set up in which each farmer group was supplied with improved seed and after harvesting returned the equivalent of seed received to the platform. Having been trained to produce their own seed, members of the platform are self-reliant in acquiring improved seed and are actively engaged in various operations that sustain the gains of the two projects that have been phased out.

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Sako, Dramane, Mamary Traoré, Folocoum Doumbia, Fodé Diallo, Moussa Fané, and Issoufou Kapran. "Kolokani Groundnut Innovation Platform Activities and Achievements Through TL III Project in Mali." In Enhancing Smallholder Farmers' Access to Seed of Improved Legume Varieties Through Multi-stakeholder Platforms, 51–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8014-7_4.

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AbstractGroundnut productions have been declining in Mali in spite of several new improved varieties being released, the key problem being inadequacy of the seed supply system. To solve this problem, Kolokani MSP was established in 2012 and reorganized with support from TL III in 2015 to include more stakeholders in the groundnut value chain—farmers particularly women, farmer associations, cooperative societies, seed producers, agro-dealers, grain traders, processors, research and extension. Four new varieties Fleur11, ICGV 86124, ICGV 86015, and ICGV 86024 were supplied to the platform for FPVS and among them two, Fleur 11 and ICGV 86124 were preferred for their high yields and large grain size under farmer conditions. Through training of trainers, the different members of the platform reached 1246 farmers among them 928 women with improved groundnut seed production, aflatoxin management, seed business plans, and small-scale mechanization. A total 47 FPVS, 50 Demonstrations, and three multi-locational variety trials were conducted annually from 2016 to 2018. Kolokani platform have played an important role in groundnut value chain by producing and marketing 85 tons groundnut certified seed of these varieties annually for farmers. This is expected to stop the national productivity decline while improving platform members’ livelihoods and nutrition status.

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Miningou, Amos, Appolinaire S. Traoré, Essegbemon Akpo, Issoufou Kapran, Bertin M. Zagré, Gabriel A. Diasso, Yamba Kienthéga, and Apolinaire Zoungrana. "An Analysis of Groundnut Innovation Platform Achievements in Brokering Improved Varieties to Communities in TL III Project in Burkina Faso." In Enhancing Smallholder Farmers' Access to Seed of Improved Legume Varieties Through Multi-stakeholder Platforms, 31–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8014-7_3.

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AbstractAccess to seeds of improved groundnut varieties is the most critical problem of farmers in Burkina Faso. Firstly, majority do not know the existence of improved varieties and secondly the price is not affordable to them. Based on the above, the INERA groundnut breeders’ team established four innovation platforms on groundnut in the Region of Centre-East, Region of Centre-North, Region of Centre-West and Region de la Boucle of Mouhoun. Through these platforms, Quality Declared Seeds (QDS) were produced for the first time in Burkina Faso in 2016 with support from the Tropical Legumes phase III (TL III) project. Since then, QDS and certified seeds are produced and sold to the local communities at affordable small packs in order to make improved seeds accessible to the poor farmers. So far about 10,000 persons have been reached with small packs. Farmers, agricultural extension and NGO staff have been trained in groundnut seed production, demonstrations, field days and Farmer Participatory Variety Selection (FPVS) to promote the improved varieties and the best agronomic practices. Farmers’ yields increased from 500–700 kg/ha to 1200–1500 kg/ha increasing women and youth incomes from 200 USD to 800 USD/year only for those who grow groundnut during the rainy season. Those who grow during rainy and off-seasons their incomes can reach 1200–1500 USD. Links with financial institutions have facilitated access to credit for these farmers. In the future, the Platform sustainability will be assured through members’ annual financial contributions and strong production contracts among traders, processors and farmers.

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Shetto, Richard, Saidi Mkomwa, Ndabhemeye Mlengera, and Remmy Mwakimbwala. "Conservation agriculture in the southern highlands of Tanzania: learnings from two decades of research for development." In Conservation agriculture in Africa: climate smart agricultural development, 122–36. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0006.

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Abstract Since its introduction into the Southern Highlands of Tanzania by researchers 25 years ago, Conservation Agriculture (CA) has been well received, researched and the concept proven to be increasing productivity and incomes, enhancing resilience of livelihoods and contributing to reducing greenhouse gas emissions. CA research, as defined by the three interlined principles, was introduced into the Southern Highlands by the Tanzania Agricultural Research Institute (TARI) Uyole, formerly Agricultural Research Institute (ARI) Uyole around 1995. Research results showed a labour saving of up to 70% in CA compared to conventional tillage, yield increases of 26%-100% and 360% for maize and sunflower, respectively, partly attributed to higher moisture content (18%-24%) in CA systems. CA was also found to be much more effective in mitigating dry spells and increasing productivity in maize production in areas where average annual rainfall is less than 770 mm. Economic analysis of maize production showed that profits in CA were three times more than in conventional tillage production at US$526.9 ha^-1 and US$ 176.6 ha^-1, respectively. Profits were twice as much for beans under CA at US$917.4 ha^-1 compared to US$376.3 ha^-1 for conventional practice. Studies confirm that 5% of farmers in the Southern Highlands have adopted CA. Increased uptake requires addressing challenges including resistance to change in mindset, inaccessibility of appropriate mechanization and cover crop seeds, traditions of free-range communal grazing of livestock (which makes it difficult for farmers to retain crop residue in their farms) and shortage of investment capital. A holistic value chain approach is recommended in CA interventions, bringing together various stakeholders including scientists, trainers, extension workers, administrators, policy makers, agro-inputs and machinery dealers, machinery service providers, agro-processors and financial institutions. The innovations adaptation set-up brings service providers closer to farmers for co-innovation. Long-term CA programmes are recommended, with farmers being taken through the complete learning cycle in testing CA technologies under their own farm environments. This should be complemented by entrepreneurial CA machinery hire services provision to increase the availability of farm power to smallholders unlikely to have the capital or skills to buy and manage their own machinery. The proof of application of the CA concept in the Southern Highlands has set the stage for further scaling the adoption of CA through support from national policies and programmes.

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Black, Jasmine E., Chris Short, and Jenny Phelps. "Water with Integrated Local Delivery (WILD) for Transformative Change in Socio-Ecological Management." In Fostering Transformative Change for Sustainability in the Context of Socio-Ecological Production Landscapes and Seascapes (SEPLS), 155–73. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6761-6_9.

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AbstractAn innovative approach towards transformative change through multi-stakeholder participation for socio-ecological practices—Integrated Local Delivery (ILD)—has been used to restore the water quality and biodiversity across a catchment in the Cotswolds, South West England. This was triggered by the need to improve the Ecological Status of water as a part of the European Union’s Water Framework Directive. On a landscape scale of roughly 25,000 hectares, multi-stakeholders collaborated through a bottom-up approach to carry out environmental restoration of the catchment.Over 3 years, an iterative learning loop of reflection and evolution created increased engagement. Twenty farmers have been empowered as ‘guardians’ to be key contacts between institutions and ensure the sustained environmental quality of the area. Both farmers and communities acted to reduce chemical use, protect river banks from livestock damage and clear waterways to enhance water quality and biodiversity. Local communities fed into the development of a ‘Community Water Guide’ which can be applied internationally for similar projects. Within the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) transformative change framework, the ILD model can also be applied by facilitators to access levers and leverage points in order to enable change.Important take home messages from the project include having well-trained facilitators who ensure active engagement, connections and continuity over the long term. Likewise, ensuring all stakeholders feel listened to and clearly communicated with is essential to build trust and motivation.

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Joseph, Batieno Benoit, Poda Saadon Leandre, Barry Silamana, Compaore Evelyne, Zongo Hamadou, Sidibe Hamadou, Gnankambary Karidiatou, Sanou Ouedraogo Adelaide, and Neya B. James. "Cowpea Innovation Platform Interventions and Achievements in TL III Project in Burkina Faso." In Enhancing Smallholder Farmers' Access to Seed of Improved Legume Varieties Through Multi-stakeholder Platforms, 157–70. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8014-7_11.

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AbstractIn June 2015, four multi-stakeholder platforms (Sanguie, Zondoma, Soum, and Association Yiye) were established in different regions of Burkina Faso to promote agricultural activities. By 2018, more than 200 farmers had already been trained on different aspects of the cowpea value chain including grain production, storage, and food processing skills. The platforms played a key role in the dissemination of new cowpea varieties through demonstrations, field days, the mass media, and social media. About 160 demonstrations were established by the members of the platforms every year from 2015 to 2018. Each platform was supported to produce 10 ha of certified seeds making a total of 40 ha each year and 160 ha during the four-year period. Due to the demand for foundation seeds that was increasing year after year in Burkina Faso and the inability of INERA to produce enough seeds, the most successful platform members were contracted by the INERA Seed Unit to produce foundation seeds in order to meet the high demand in the country for certified seed production. Although there are no official statistics about certified seeds produced in Burkina Faso in terms of demand, recent happenings have shown their increased production. For instance, in 2018 about 1000 tons of certified seeds were produced compared to previous years which had less than 700 tons.

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Yirenya-Tawiah, Dzidzo, Ted Annang, Benjamin Dankyira Ofori, Benedicta Yayra Fosu-Mensah, Elaine Tweneboah Lawson, Richard Yeboah, Kwaku Owusu-Afriyie, et al. "Urban Waste as a Resource: The Case of the Utilisation of Organic Waste to Improve Agriculture Productivity Project in Accra, Ghana." In Organic Waste Composting through Nexus Thinking, 123–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36283-6_6.

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AbstractPoor municipal solid waste management continues to be a daunting issue for municipal authorities in Ghana. Major cities generate 2000 tonnes of mixed municipal waste per day, of which about 80% is collected and disposed of at open dump sites and/or at the limited number of landfills available. About 60% of this waste is organic. The Utilization of Organic Waste to Improve Agricultural Productivity (UOWIAP) project sought to co-create knowledge through a private-public engagement for the development of organic waste value chain opportunities to sustainably manage municipal organic waste and, at the same time, improve urban farm soils and increase food productivity in the Ga-West Municipal Assembly in the Greater Accra Region of Ghana. Through the project, identified key stakeholders in the waste and agricultural sectors, such as market traders, informal waste collectors, unemployed persons, farmers, landscapers, media, agricultural extension officers, Municipal Assembly officers and the general public, were engaged and made aware of sustainable organic waste management processes, including organic waste segregation from source, collection and compost production. Four formal markets were selected for the piloting of organic waste segregation from source. Interested persons were trained in organic waste collection, compost production and entrepreneurship. The lessons learned draw attention to the need for a massive effort to generate demand for compost use as this will invariably drive removal of organic waste from the unsorted waste stream.

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Misra, Manjit K., Adelaide Harries, and Malavika Dadlani. "Role of Seed Certification in Quality Assurance." In Seed Science and Technology, 267–97. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5888-5_12.

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AbstractHigh-quality seed is a “sine qua non” condition to achieve maximum crop productivity and good returns. The national seed sector, composed of the public and private players, plays a key role in making available high-quality seed in sufficient quantity by following its regulatory framework and adhering to the quality standards stipulated in it. The seed laws of different countries operate on the basic philosophy of encouraging breeding and variety development to meet the demand for quality seeds of many superior varieties of different crops suitable for various agro-ecologies and discourage unscrupulous practices in the seed supply system. However, the mechanism of applying the laws, operating procedures, classification, and quality standards is formulated keeping in view the seed scenario, availability of infrastructure, and trained human resources to handle the seed system. At the same time, given the fast-expanding global seed trade, it is desired for all participating countries to harmonize their national regulations with the international conventions and treaties that provide a regulatory framework to guide and oversee the interests of breeders, seed producers, and consumers globally. It is equally important that the said national regulatory frameworks facilitate farmers’ access to seeds of the best quality of superior/improved varieties while promoting competitive seed markets with only the essential checks and lesser barriers to seed trade.

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Aburasain, R. Y., E. A. Edirisinghe, and M. Y. Zamim. "A Coarse-to-Fine Multi-class Object Detection in Drone Images Using Convolutional Neural Networks." In Digital Interaction and Machine Intelligence, 12–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_2.

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AbstractMulti-class object detection has a rapid evolution in the last few years with the rise of deep Convolutional Neural Networks (CNNs) learning based, in particular. However, the success approaches are based on high resolution ground level images and extremely large volume of data as in COCO and VOC datasets. On the other hand, the availability of the drones has been increased in the last few years and hence several new applications have been established. One of such is understanding drone footage by analysing, detecting, recognizing different objects in the covered area. In this study conducted, a collection of large images captured by a drone flying at a fixed altitude in a desert area located within the United Arab Emirates (UAE) is given and it is utilised for training and evaluating the CNN networks to be investigated. Three state-of-the-art CNN architectures, namely SSD-500 with VGGNet-16 meta-architecture, SSD-500 with ResNet meta-architecture and YOLO-V3 with Darknet-53 are optimally configured, re-trained, tested and evaluated for the detection of three different classes of objects in the captured footage, namely, palm trees, group-of-animals/cattle and animal sheds in farms. Our preliminary experiments revealed that YOLO-V3 outperformed SSD-500 with VGGNet-16 by a large margin and has a considerable improvement as compared to using SSD-500 with ResNet. Therefore, it has been selected for further investigation, aiming to propose an efficient coarse-to-fine object detection model for multi-class object detection in drone images. To this end, the impact of changing the activation function of the hidden units and the pooling type in the pooling layer has been investigated in detail. In addition, the impact of tuning the learning rate and the selection of the most effective optimization method for general hyper-parameters tuning is also investigated. The result demonstrated that the multi-class object detector developed has precision of 0.99, a recall of 0.94 and an F-score of 0.96, proving the efficiency of the multi-class object detection network developed.

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Nicholson, James C. "British Invasion." In Racing for America, 107–36. University Press of Kentucky, 2021. http://dx.doi.org/10.5810/kentucky/9780813180649.003.0006.

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Chapter Five discusses the origins of the International Race and the British contestants' transatlantic voyage to America. August Belmont II, chairman of the powerful Jockey Club in New York, convinced Benjamin Irish, the farmer and caterer of relatively modest means who owned Epsom Derby winner Papyrus, to agree to a match race against a to-be-determined American horse. Kentucky Derby champion Zev was the likeliest choice. Admiral Cary T. Grayson, friend and physician to former president Woodrow Wilson, owned the other leading American candidate, My Own. But Hildreth and Sinclair manipulated the selection process. Newspaper coverage of the procedural gamesmanship helped to hype the event. Sportswriters' profiles of the men associated with the English horse -- including jockey Steve Donoghue, who had risen from a rough industrial town to become the most famous rider in the world, and a modest second-generation Newmarket trainer named Basil Jarvis -- spread the ballyhoo nationwide.

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Тези доповідей конференцій з теми "Farmer trainer"

Miraliakbar, Alireza, and Zheyu Jiang. "Fast, Accurate, and Robust Fault Detection and Diagnosis of Industrial Processes." In Foundations of Computer-Aided Process Design, 322–29. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.184473.

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Modern industrial processes are continuously monitored by a large number of sensors. Despite having access to large volumes of historical and online sensor data, industrial practitioners still face challenges in the era of Industry 4.0 in effectively utilizing them to perform online process monitoring and fast fault detection and diagnosis. To target these challenges, in this work, we present a novel framework named �FARM� for Fast, Accurate, and Robust online process Monitoring. FARM is a holistic monitoring framework that integrates (a) advanced multivariate statistical process control (SPC) for fast anomaly detection of nonparametric, heterogeneous data streams, and (b) modified support vector machine (SVM) for accurate and robust fault classification. Unlike existing general-purpose process monitoring frameworks, FARM�s unique hierarchical architecture decomposes process monitoring into two fault detection and diagnosis, each of which is conducted by targeted algorithms. Here, we test and validate the performance of our FARM monitoring framework on Tennessee Eastman Process (TEP) benchmark dataset. We show that SPC achieves faster fault detection speed at a lower false alarm rate compared to state-of-the-art benchmark fault detection methods. In terms of fault classification diagnosis, we show that our modified SVM algorithm successfully classifies 17 out of 20 of the fault scenarios present in the TEP dataset. Compared with the results of standard SVM trained directly on the original dataset, our modified SVM improves the fault classification accuracy significantly.

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Mulroy, Michael, Nick Lieven, Peter Morrish, Chong Ng, Matthew Asher, Carole Murra, and Douglas Graham. "The Application of Helicopter Health and Usage Monitoring Techniques within the Wind Turbine Industry." In Vertical Flight Society 70th Annual Forum & Technology Display, 1–10. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9693.

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Cost-optimised maintenance of wind turbines is becoming increasingly important due to the remote location and access limitations of offshore wind farms. Maintenance and repair costs increase significantly due to the specialist vessels required and delays due to unfavourable weather conditions. Significant cost reductions can be achieved by making better use of condition monitoring information to make more efficient and effective maintenance decisions. Replacement parts and specialist access equipment can be ordered in advance, reducing downtime. Work can be scheduled at a time when the wind speed is predicted to be low, minimising production losses. The key innovation described in this paper is the transfer of condition monitoring technologies and maintenance models from the aerospace industry to the wind turbine industry. New health and usage monitoring techniques have been developed, which are intended to enable predictive maintenance and extend component life through the use of advanced maintenance protocols. The ability of the new algorithms to identify real-time features has been demonstrated using recordings of wind turbine drive train vibration and bearing seeded fault testing.

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Andriamifidy, Bob. "Opportunity to assist in the expansion of high-quality soybean feed and edible oil production in Madagascar." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/lamb7492.

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Madagascar has a population of over 28,000,000 people, of which 48% are food insecure, and 80% are involved in agriculture (reliefweb.int, 2022). Madagascar's prevalence of stunting in children under 5 years is 41.5% (Global-nutrition report, 2018). Additionally, UNICEF reports that drought in the southern region will increase acute childhood malnutrition fourfold over their 2020 assessment. Soybean, a nutrient dense ingredient for human and animal consumption, may ameliorate undernutrition in Madagascar. Traditionally, soybean meal and oil were imported at an annual rate of approximately 50,000 metric tons of meal, and 75,000 liters of edible oil. More recent hikes in transportation costs and 30% tariffs, make production of quality feed, and edible oil from imported oilseeds impractical. To improve nutrition and farmer livelihoods, soybean must be locally cultivated and processed. Madagascar is suited to grow soybean with 8 million HA of cultivable land (FAO 2016) and average rainfall of 1,500 mm during a 6-month rainy season. AGRIVAL is a Malagasy animal feed company, serving smallholder poultry growers. In reaction to increasing prices for imported soybean, the company created a 5-year strategy to strengthen its feed production capacity, expand processing to edible oils, and purchase locally grown soybean from Malagasy smallholder farmers. Contracts for new equipment include an oil expeller. Agrival partnered with Cultivating New Frontiers in Africa (CNFA) and the Soybean Innovation Lab (SIL) to grow soybeans and requests technical assistance with meal and oil production from their partnership with AOCS, under the Farmer-to-Farmer USAID program. To date, farmers have been trained and are growing soybeans in Madagascar. Agrival requests technical assistance from oilseed industry professionals, to better incorporate newly arriving equipment, and ramp up high-quality production. This Project will produce high-quality, lower priced animal and human food for the Malagasy people and create thousands of jobs in agriculture and industry.

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M, Misba, Vivek A, Ratheesh R, and Aslin C. "Artificial Intelligence based Classification of Diseases for Rice Leaf Using CNN model." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/xvtu7545/ngcesi23p37.

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Rice cultivation is a crucial industry in India, but it is plagued by various diseases that can damage crops at different stages. These diseases are challenging for farmers to identify accurately due to their limited knowledge and expertise. As a result, the farmers often struggle to take appropriate measures to prevent or manage these diseases, which can result in significant losses in crop yield and quality. Therefore, there is a need for advanced technologies and tools to help farmers accurately identify and manage these diseases, ensuring a sustainable and profitable rice cultivation industry in India. Recent advances in Deep Learning have demonstrated that Convolutional Neural Network models can be highly effective in automatic image recognition tasks. These models have shown great potential in addressing the challenges faced by farmers in identifying diseases in crops such as rice. However, in order to train such models, a large and diverse dataset is required, which may not always be readily available. To address this issue, researchers have created their own dataset of rice leaf disease images, which may be smaller in size but sufficient for the task at hand. To develop their CNN model, they have used a technique called Transfer Learning, which used as a starting point to fine-tune already trained models for a new task. The proposed CNN architecture is based on the VGG-16, a widely used pre-trained model used in computer vision tasks. The researchers trained and tested their model with a dataset obtained from rice fields and the Internet. The results show that the proposed model achieves 92.46% accuracy, demonstrating its potential in accurately detecting rice leaf diseases.

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Arafath, Muhammad, A. Alice Nithya, and Sanyam Gijwani. "Tomato Leaf Disease Detection Using Deep Convolution Neural Network." In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-vph2n1.

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Plants are a major and important food source for the world's population. Smart and sustainable agriculture should be capable of providing precise and timely diagnosis of plant diseases. This helps in preventing financial and other resource loss to the farmers. Since plant diseases show visible symptoms which a plant pathologist will be able to diagnose through optical observations. But this process is slow and requires continuous monitoring as well as the availability and successful diagnostic capability of the pathologist. To overcome this, in smart agriculture, computer-aided plant disease diagnostic/detection model is used to help increased crop yield production. Common diseases are found in tomatoes, potatoes and pepper plants, some of them are bacterial spot, early blight etc. If a farmer can detect these diseases early, and can apply an appropriate treatment then it will improve crop yield and prevent the economic loss. In this work, we train the dataset on three different deep convolution neural network architecture and found the best suitable model to detect tomato leaf diseases. In order to avoid overfitting of the mode, batch normalization layer and a drop out layer has been included. The proposed Deep CNN is trained with various dropout values and a suitable dropout value is identified to regularize the model. The experimental methodology tested on plant village dataset showed improved accuracy of 96%, even without performing pre-processing steps like noise removal. By introducing batch normalization and dropout layer training accuracy improved to 99% whereas validation and testing accuracy is found to be 98%.

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Saleh Alfozan, Sara, and Mohamad Mahdi Hassan. "MajraDoc an Image based Disease Detection App for Agricultural Plants using Deep Learning Techniques." In 9th International Conference on Computational Science and Engineering (CSE 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112402.

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Infection of agricultural plants is a serious threat to food safety. It can severely damage plants' yielding capacity. Farmers are the primary victims of this threat. Due to the advancement of AI, image-based intelligent apps can play a vital role in mitigating this threat by quick and early detection of plants infections. In this paper, we present a mobile app in this regard. We have developed MajraDoc to detect some common diseases in local agricultural plants. We have created a dataset of 10886 images for ten classes of plants diseases to train the deep neural network. The VGG-19 network model was modified and trained using transfer learning techniques. The model achieved high accuracy, and the application performed well in predicting all ten classes of infections.

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K, Surya Narayanan, Varun Kumar E B, Srinath J, Yashvanth H, and Jayakumari JK. "A Machine Learning approach for crop and fertilizer using Ensemble Model with XGBoost and Random Forest Algorithms." In International Conference on Recent Trends in Computing & Communication Technologies (ICRCCT’2K24). International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/cyjr6469/icrcct24p49.

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The machine learning method for crop and fertilizer recommendations is presented in this study in an effort to improve agricultural productivity. By combining the strengths of XGBoost and Random Forest algorithms through an ensemble model, this system provides customized recommendations based on important soil and environmental parameters, such as temperature, humidity, rainfall, pH, nitrogen, phosphorus, potassium, and other indicators for the optimal crop growth and yield. Using a soft voting technique, the model outperforms traditional single model systems by averaging predictions from both algorithms to attain a high level of accuracy beyond 98%. This ensemble design captures the high accuracy of XGBoost with its data handling capabilities while balancing it with Random Forest’s strength and reduced overfitting and also making the model in many different kinds of agricultural environments. Precision and computational efficiency were demonstrated by the model, which was trained on a dataset of 3,610 samples with an additional 903 samples set aside for testing. Although it takes longer to train, XGBoost helps by producing extremely accurate predictions. Random Forest helps by training more quickly and maintaining performance even when dealing with many different kinds of data. When combined, these models produce an efficient system that can be adjusted to various soil types and climates, empowering farmers to make data driven, well informed decisions for sustainable farming. This study demonstrates how ensemble learning can revolutionize precision agriculture by assisting farmers in making the best decisions possible to enhance crop yield and resource management while encouraging sustainable practices. Real time data integration may be incorporated into future research to increase the model’s adaptability to shifting agricultural conditions. All things considered, this system improves the use of machine learning in the agricultural sector by offering farmers a strong tool to help them in making profitable and sustainable agricultural decisions.

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Masory, Oren. "Sharing Tracks With High Speed Trains in Urban Area: Risk due to Drivers and Pedestrian Perception." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8106.

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Abstract Sharing operations of high-speed passenger and heavy slow freight trains on the same rail tracks presents additional risks to vehicle and pedestrians who cross the tracks. This is due to increase in rail traffic at crossing; drivers and pedestrians overestimate the amount of time they have to cross the intersection in front of a higher speed train; and due to the fact that circuited crossings are not adaptable and might lead to confusion and bad decisions. From human perception point of view these accidents happen in particular when the high speed trains were just introduced since the drivers as well as the pedestrians are used to interact with slower trains. Looming is a major factor that contributes to the perception error experiences by a driver or pedestrian. On one hand a faster train is being detected at farther distance than a slower one but its time to contact (the time it will reach the crossing) is shorter. Thus, a pedestrian might think that he has enough time to cross the railroad but actually he does not. Horn sound has the same effect on human perception. This paper discusses issues related to human perception which contribute to accidents in these cases.

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Bowman, Travis, and Saverio Ventrelli. "Pairing Offshore Wind with Existing Production Assets: Utilizing Generation Overcapacity to Decarbonize Compression Trains." In Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32359-ms.

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Abstract Combustion in gas turbines or diesel gensets typically represents one of the largest sources of carbon emissions on offshore production and drilling installations, second only to flaring. Significant potential exists to decarbonize these assets via electrification. Many regions of the world where large-scale wind developments are planned or currently being built are also centers for oil and gas production (e.g., North Sea, Gulf of Mexico, etc). It is logical to expect that in the coming years opportunities will arise for operators to directly utilize the electricity generated by these wind farms to reduce their carbon footprint. This paper explores possibilities for supplementing conventional power generation on offshore production installations with clean electricity from offshore wind farms. It discusses the feasibility of powering large production assests in deepwater and smaller assets in shallow water. The paper focuses primarily on curtailement utilization (i.e., taking power from the wind farm during times of overproduction) and the inherent commercial capacity of such a scenario. Additionally, it addresses steps/measures operators will potentially have to take in relation to the inherent intermittency and unpredictability of wind generation. Electrical power continuity, stability, and magnitude are crucial to production, as well as meeting required process heat requirements on the topsides. Thus, a discussion on the utilization of combined cycle for deepwater large assets is also discussed.

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Dineva, Kristina, Tatiana Atanasova, and Todor Balabanov. "CLOUD DATAFLOW FOR MACHINE LEARNING MODELING ON IOT DATA IN SMART LIVESTOCK FARMING." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/6.1/s25.09.

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The development of modern dairy farming is aimed at creating larger farms with more intensive production in accordance with the market needs. New larger livestock facilities need new approaches to management and logistics. The Internet of Things (IoT), machine learning (ML) and cloud computing are forming the basis of digital animal husbandry as they are increasingly being introduced into dairy farming. The collection of IoT sensor data and their storage in the information cloud allows the use of machine learning methods for predicting events in livestock farms. ML is characterized by its hunger for computing resources in all its phases, which can be resolved using cloud computing. Collected data by IoT devices require cleaning and scaling. Building a model requires training, testing, and validation. All these activities should be carried out in a timely sequence. The purpose of this article is to build models trained to predict the future amount of milk with the greatest accuracy for each individual animal. To achieve this goal, a pure Azure Cloud DataFlow (ADF) has been created, which monitors the processes from collecting and storing Io� data, to data processing, modelling, and model evaluation to visualization of results. Following this data flow, the experimental studies described in this article are performed. Three regression machine learning models were trained on the data collected from a Smart Livestock farm. Testing of the developed models has proven the applicability of the developed Cloud DataFlow, as the Boosted Decision Tree Regression Model shows the highest accuracy in predicting the amount of milk produced by each individual animal.

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Звіти організацій з теми "Farmer trainer"

Kirui, J. W., S. Franzel, E. Kiptot, J. Kugonza, P. M. Ongadi, R. Wabwire, S. W. Nanjekho, P. B. Nzigamasabo, and C. Ruganirwa. The volunteer farmer-trainer extension approach: a user guide. World Agroforestry Centre (ICRAF), 2016. http://dx.doi.org/10.5716/tm16068.pdf.

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Kimaiyo, Joan, Evelyne Kiptot, Mercy Mwambi, Jane Kugonza, and Steven Franzel. The effectiveness of the volunteer farmer trainer approach vis-à-vis other information sources in dissemination of livestock feed technologies in Uganda. World Agroforestry Centre, 2017. http://dx.doi.org/10.5716/wp17104.pdf.

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Mwambi, M., Evelyn Kiptot, and Steve Franzel. Assessing the effectiveness of the volunteer farmer trainer approach in dissemination of livestock feed technologies in Kenya vis-à-vis other information sources. World Agroforestry Centre (ICRAF), 2015. http://dx.doi.org/10.5716/wp15022.pdf.

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Sharma, P., T. Partap, and C. K. Sen. Farmer-led Integrated Watershed Management: Trainers' Resource Book. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 1997. http://dx.doi.org/10.53055/icimod.259.

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Kiptot, Evelyn, Steve Franzel, P. B. Nzigamasabo, and C. Ruganirwa. Farmer to farmer extension of livestock feed technologies in Rwanda: a survey of volunteer farmer trainers and organizations. World Agroforestry Centre (ICRAF), 2016. http://dx.doi.org/10.5716/wp16005.pdf.

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Gurung, M. B., Uma Pratap, N. C. T. D. Shrestha, H. K. Sharma, N. Islam, and N. B. Tamang. Beekeeping Training for Farmers in Afghanistan: Resource Manual for Trainers [in Urdu]. International Centre for Integrated Mountain Development (ICIMOD), 2012. http://dx.doi.org/10.53055/icimod.564.

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Beekeeping contributes to rural development by supporting agricultural production through pollination and by providing honey, wax, and other products for home use and sale. It offers a good way for resource-poor farmers in the Hindu Kush Himalayas to obtain income, as it requires only a small start-up investment, can be carried out in a small space close to the home, and generally yields profits within a year of operation. A modern approach to bee management, using frame hives and focusing on high quality, will help farmers benefit most fully from beekeeping. This manual is designed to help provide beekeepers with the up-to-date training they need. It presents an inclusive curriculum developed through ICIMOD’s work with partner organizations in Bangladesh, Bhutan, India, and Nepal, supported by the Austrian Development Agency. A wide range of stakeholders – trainers, trainees, government and non-governmental organizations (NGOs), associations and federations, and private entrepreneurs – were engaged in the identification of curriculum needs and in development and testing of the curriculum. The manual covers the full range of beekeeping-related topics, including the use of bees for crop pollination; production of honey, wax and other hive products; honey quality standards; and using value chain and market management to increase beekeepers’ benefits. It also includes emerging issues and innovations regarding such subjects as indigenous honeybees, gender and equity, integrated pest management, and bee-related policy. The focus is on participatory hands-on training, with clear explanations in simple language and many illustrations. The manual provides a basic resource for trainers and field extension workers in government and NGOs, universities, vocational training institutes, and private sector organizations, and for local trainers in beekeeping groups, beekeeping resource centres, cooperatives, and associations, for use in training Himalayan farmers. Individual ICIMOD regional member countries are planning local language editions adapted for their countries’ specific conditions.

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Gurung, M. B., U. Partap, N. C. T. D. Shrestha, H. K. Sharma, N. Islam, and N. B. Tamang. Beekeeping Training for Farmers in the Himalayas: Resource Manual for Trainers. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2012. http://dx.doi.org/10.53055/icimod.556.

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Gurung, M. B., U. Partap, N. C. T. D. Shrestha, H. K. Sharma, N. Islam, and N. B. Tamang. Beekeeping Training for Farmers in the Himalaya: Resource Manual for Trainers. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2012. http://dx.doi.org/10.53055/icimod.555.

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