IOSR-JAVS VOLUME-19 ~ Issue-10 ~ Oct. 2026

ABSTRACT: Aquaculture is in great demand for developing sustainable and highly efficient aquaculture system in the world, especially in the countries like Bangladesh where fish is the major source of protein for almost 79% people of the country. To tackle these aquaculture challenges, a new technology has surfaced in the last few years that has become known as Biofloc technology. A novel technology has developed over the last few years, now termed Biofloc technology that may offer a more sustainable and efficient way of reducing environmental impacts, increasing resource utilization efficiency and increasing production yields......

Keywords: Biofloc Technology, Aquaculture, Machine Learning, Impact Learning, Sustainable Fisheries.

[1]. FAO. (2022). The State of World Fisheries and Aquaculture 2022. Rome: Food and Agriculture Organization of the United Nations.
[2]. Boyd, C. E., McNevin, A. A., & Davis, R. P. (2022). The contribution of fisheries and aquaculture to the global protein supply. Food Security, 14(3), 805–827.
[3]. Rashid, M. M., Nayan, A. A., Rahman, M. O., Simi, S. A., Saha, J., & Kibria, M. G. (2021). IoT-based Smart Water Quality Prediction for Biofloc Aquaculture. IJACSA, 12(6), 56–62. https://doi.org/10.14569/IJACSA.2021.0120608
[4]. Avnimelech, Y. (2015). Biofloc Technology – A Practical Guide Book. The World Aquaculture Society.
[5]. Betanzo-Torres, E. A., et al. (2020). Factors that limit the adoption of biofloc technology in aquaculture production in Mexico. Water, 12(10), 2775. https://doi.org/10.3390/w12102775.

ABSTRACT: Varietal response and appropriate use of chemical mutagens play a crucial role in improving tomato germination and early seedling growth. To assess the effect of different doses of Ethyl Methane Sulphonate (EMS) on the germination and seedling growth of tomato, an experiment was conducted at the Tissue Culture Laboratory, Horticulture Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, during the period....

[1]. Adamu AK, Aliyu H 2007: Morphological effects of sodium azide on tomato (Lycopersicon esculentum Mill). Scientific Research and Essays 2(1) 1–4.
[2]. BBS 2024: Yearbook of Agricultural Statistics of Bangladesh. Ministry of Planning, Dhaka.
[3]. Bhatia, S. (2010). Tomato production and processing: an overview. International Journal of Food Science and Technology, 45(1), 2-12.
[4]. Das MK, Rahman MM, Sultana N 2020: Evaluation of tomato lines for better root and shoot development. Bangladesh Journal of Agricultural Research 45(1) 45–52.
[5]. FAOSTAT 2023: Food and Agriculture Organization of the United Nations.

ABSTRACT: Kenyan Agriculture has faced a lot of challenges caused by various invasive insect crop pest. This has threatened the efforts of the Kenyan government in actualizing Sustainable Developments Goals (SDGs) towards agriculture. Invasion of insect pest in sub-Saharan Africa, particularly on the cereals crops is one of the major threat to their effective utilization. Although several methods have been utilized towards the control of these pests, optimum utilization is still a challenge. This is because Integrated Pest Management (IPM) strategies have been underexplored...

Key words: IPM, FAW, SDGs

[1] https://www.worldbank.org/en/topic/agriculture/overview
[2]. Khan, Z., Sharawi, S. E., Khan, M. S., Xing, L. X., Ali, S., & Ahmed, N. (2022). Prevalence of insect pests on maize crop in District Mansehra, Khyber Pakhtunkhwa, Pakistan. Brazilian Journal of Biology, 84, e259217. [3]. Dragomir, V., Ioan Sebastian, B., Alina, B., Victor, P., Tanasă, L., & Horhocea, D. (2022). An overview of global maize market compared to Romanian production. Romanian Agriculture Research, 39, 535-544.
[4]. Ampofo, J. K. O. (1988). Assessment of on-farm losses in maize production due to insect pests. International Journal of Tropical Insect Science, 9(6), 687-690.
[5]. De Groote, H., Kimenju, S. C., Munyua, B., Palmas, S., Kassie, M., & Bruce, A. (2020). Spread and impact of fall armyworm (Spodoptera frugiperda JE Smith) in maize production areas of Kenya. Agriculture, ecosystems & environment, 292, 106804..

ABSTRACT: Climate-resilient value-chain development requires locally attributable evidence on production practices, advisory services, institutional capacity, and market constraints. This study synthesized Migori County evidence from 12 Climate Resilient, Low Carbon, and Sustainable Agriculture (CRLCSA) assessment documents, comprising four narrative reports and eight Kobo Toolbox report exports. County-labelled submissions were separated from pooled regional summaries. A finding was attributed to Migori only when the submission location was explicit or...

Keywords: Agricultural extension; Climate resilience; Dairy; Fruit trees; Migori County; Poultry; Value Chains

[1] Food and Agriculture Organization of the United Nations. (2013). Climate-smart agriculture sourcebook. FAO. https://www.fao.org/4/i3325e/i3325e.pdf
[2] Ministry of Agriculture, Livestock and Fisheries, Kenya. (2017). Kenya Climate Smart Agriculture Strategy 2017–2026. https://faolex.fao.org/docs/pdf/ken169535.pdf
[3] IPCC. (2022). Africa. In Climate Change 2022: Impacts, Adaptation and Vulnerability, Chapter 9. https://www.ipcc.ch/report/ar6/wg2/chapter/chapter-9/
[4] Neven, D. (2014). Developing sustainable food value chains: Guiding principles. FAO. https://www.fao.org/sustainable-food-value-chains/library/details/en/c/265156/
[5] Anderson, J. R., & Feder, G. (2004). Agricultural extension: Good intentions and hard realities. The World Bank Research Observer, 19(1), 41–60. https://doi.org/10.1093/wbro/lkh013

ABSTRACT: Smallholder sugarcane farmers require both effective crop-management support and financing arrangements that reflect the long interval between production expenditure and harvest income. This study examined associations between experiential learning-based technical assistance, perceived sugarcane productivity, and loan repayment patterns in Awendo and Uriri sub-counties of Migori County, Kenya. A convergent parallel mixed-methods design combined farmer questionnaires, key-informant interviews, and focus-group discussions. Paired productivity ratings were available for 81 farmers and were measured on a five-point ordinal scale. Median perceived productivity increased....

Keywords: agricultural credit; agricultural extension; experiential learning; loan repayment; smallholder farmers; sugarcane; Kenya

[1] Alolo, N. E., Edward, K., Imbogah, H., & Odhiambo, G. (2025). Analyzing the influence of labor input spent on sugarcane productivity: A case study of Uriri Sub-County, Migori County, Kenya. EPRA International Journal of Economics, Business and Management Studies, 12(7). https://eprajournals.com/IJHS/article/16913
[2] Anderson, J. R., & Feder, G. (2004). Agricultural extension: Good intentions and hard realities. The World Bank Research Observer, 19(1), 41–60. https://doi.org/10.1093/wbro/lkh013
[3] Arouna, A., Michler, J. D., & Lokossou, J. C. (2021). Contract farming and rural transformation: Evidence from a field experiment in Benin. Journal of Development Economics, 151, 102626. https://doi.org/10.1016/j.jdeveco.2021.102626
[4] Beaman, L., BenYishay, A., Magruder, J., & Mobarak, A. M. (2021). Can network theory-based targeting increase technology adoption? American Economic Review, 111(6), 1918–1943. https://doi.org/10.1257/aer.20200295
[5] BenYishay, A., & Mobarak, A. M. (2019). Social learning and incentives for experimentation and communication. The Review of Economic Studies, 86(3), 976–1009. https://doi.org/10.1093/restud/rdy039