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64 results for “farmers development”
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Research ArticleOpen accessEvery word in the titleThe Development of Community Economic System of Thung Kula Ronghai Farmers at Ban Ta Yuak, Northeastern ThailandPrasopsuk Rithidet, Preecha Piampongsan, Preecha prathepa, Boonsom YodmaleeThe article was based on the case study at Ban Tayuak, Tambon Thung Luang, Amphoe Suwannaphum, Roi Et, Thung Kula Ronghai, N.E. Thailand By using qualitative research method, the researcher interviewed farmers who had been settled there over ten years. Field and documentary data were then analyzed. The results of the study were as follows: The area of thung Kula … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,482 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSocioeconomic Impact on Farmers in Malaysia: A Case Study on Integrated Agricultural Development ProjectNor Diana Mohd Idris, Chamhuri Siwar, Basri Abdul Talib, Madeline BermaProblem statement: Integrated Agricultural Development Project (IADP) is a platform for rural socioeconomic improvement. This initiative has raised the income of farmers by creating a large scale fruits producer in Sarawak. Therefore, the objective of this study was to identify the direct impact of the agricultural development project on socioeconomic improvement in the Samarahan area. Approach: This study involved 14 … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 14 Feb 2012 · 8,113 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Influence of Social Capital on Adoption of Rural Development Programs by Farmers in the Caspian Sea Region of IranA. Ahmadi Firouzjaie, H. Sadighi, M.A. MohammadiThe main purpose of this study was to measure social capital (consisting of structural and cognitive) of mainly rice producing farmers in the Caspian See region of Iran. The secondary purpose was to determine the influence of farmers' social capital on adoption of Rural Development Programs (RDPs). This was a descriptive-correlation and a causal-comparative survey study. The population of this … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 1 · 31 Mar 2007 · 8,031 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAcceptance Towards Sustainable Agriculture among Contract Farmers and its Impingement FactorsHayrol Azril Mohamed Shaffril, Jeffrey Lawrence D’Silva, Bahaman Abu Samah et al.Problem statement: Rising demands and needs for food nowadays have put a great pressure on our natural resources. Overuse of the environmental sources has been proven to have profound impact on both; the community and the environment. To solve such problem, sustainable agriculture has been suggested as one of the solutions. Undoubtedly, sustainable agriculture will supply adequate nutrition sources at … …American Journal of Environmental Sciences, Vol. 8, Issue 3 · 12 Jun 2012 · 7,954 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAgriculture Communication in Malaysia: The Current SituationMd. Salleh Hassan, Hayrol Azril Mohamed Shaffril, Bahaman Abu Samah et al.Problem statement: Without doubt, it is important to expose and educate farmers with the current and updated agriculture information. To implement this, the related agriculture agencies in Malaysia should consider the best channels for them in spreading the needed valuable agriculture information to the farmers. The question that can be raised now, can the mass media be the right channel … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 9,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntology Based Knowledge Management System Design for Organic FarmingMuqeem Ahmed, Afrah Fathima, Mohammad Islam et al.In the current agricultural system, information is often gathered manually, and farmers make decisions based on their judgment. Occasionally, they seek advice from experts and extension officers. Numerous information systems have recently emerged, offering insights into organic farming practices. However, this information is dispersed across various contexts, formats, and media on the Internet, making it challenging to access. Utilizing ontology … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractCattle Breeding Programs and Trait Preferences in EthiopiaMohammed Endris Seid, Kefelegn Kebede Kefenie et al.The success of livestock breeding programs depend on the active involvement of smallholder farmers, pastoralists, and agro-pastoralists in shaping breeding objectives and identifying key trait preferences based on specific production goals. This study aimed at assessing the relative importance of cattle-keeping objectives and trait preferences across mixed crop-livestock, pastoral, and agro-pastoral production systems in Ethiopia. We collected data from 180 … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 9 Jun 2025 · 4,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite