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5 articles for “mango marketing”
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Scenario of Mango Marketing by Farmers in Selected Areas of Bangladesh
Abstract: A baseline survey was conducted in three mango growing areas of Bangladesh viz. Rajshahi (Puthia), Chapainwabganj (Shibganj) and Satkhira (Sadar) during June 2021 to July 2021 using a structured questionnaire with a view to know the present status of growers about their knowledge related to mango growing and marketing. Results revealed that the maximum percentage (41.8) of growers within an age of 36-45 years were engaged with mango cultivation. There …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 1, 2023 · pp. 1–8 Read article
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Optimizing Mango Harvest Timing in the Nasik Region (Maharashtra, India) by CNNs (Residual Network 101)
Abstract: The determination of optimal harvest timing is one of the most critical decisions in mango production, directly affecting postharvest quality, market value, transportation resilience, and export readiness. In regions such as Nashik, Maharashtra—one of India’s major fruit- producing belts—the climatic variability, cultivar differences, monsoon patterns, and market- driven pressures make accurate harvest timing essential. Traditional maturity assessment relies on subjective visual inspection, specific gravity, or destructive testing, each of which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 Read article
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Quality Inspection, Maturity Detection, and Size based Grading of Various Types of Mangoes using Machine Learning Methods
Abstract: Mango is the most significant and flavorsome fruit in most continents, especially in Asia. Mango grading is an important task in agro-industry. The grading process creates many problems during harvesting for mango growers. The manual grading process is performed by visual inspection and it is very time consuming and labor intensive. Due to different market prices and different market demand, automation in mango grading plays an important role to achieve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 18–31 Read article
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Analysis of Heavy Metal Levels in Some Edible Fruits from Selected Markets in Ethiopia
Abstract: This study was conducted to determine the concentration of nine heavy metals (Zn, Fe, Cu,Mn, Co, Ni, Cr, Pb and Cd) in selected edible fruits namely: avocado, mango, papaya,pineapple, orange and banana purchased from Awassa and Addis Ababa markets. Dry ashing method was used for the digestion of samples. The heavy metals were analyzed using atomic absorption spectrophotometer (AAS). The results obtained showed that the concentrations of heavy metals in …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 6, Issue 1, 2015 · pp. 1–8 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article