Bangladesh Agricultural University

Experiment-driven machine learning framework for compressive strength prediction of locally sourced fiber-reinforced concrete

This study proposes an experiment-driven machine learning (ML) framework to address experimental limitations in estimating compressive strength within a controlled experimental domain of locally sourced fiber-reinforced concrete (FRC). Concrete mixes incorporating 1, 2, and 3% la...

Biogenically synthesized of five different plant-derived silver nanoparticles as natural weapon against sheath blight disease of rice and its characterization

Biosynthesis of silver nanoparticles (AgNPs) was carried out using extracts from five plant species: neem (Azadirachta indica), tulsi (Ocimum sanctum), bishkatali (Persicaria lapathifolia), garlic (Allium sativum), and ginger (Zingiber officinale). The formation of silver nanopar...

Optimized Potting Media and Vertical Farming Enhance High‐Value Crop Productivity in Riverine Lands of Bangladesh

ABSTRACT Limited cultivable land and seasonal flooding constrain vegetable production in the riverine char lands of Bangladesh, highlighting the need for efficient and climate‐resilient production systems. This study evaluated optimized potting media for seedling production and t...