1178 papers
This paper proposes MTRNet, a knowledge-guided multi-task framework that integrates expert phytopathological attributes and a non-parametric Cascade Inference System to achieve high-accuracy, interpretable, and robust rice disease diagnosis in complex open-field environments.
This study demonstrates that stump diameter measured at 30 cm above ground serves as a robust and practical predictor for estimating biomass and carbon stocks in *Acacia* plantations in Bangladesh, offering a viable alternative to conventional breast-height measurements for effective post-harvest monitoring and climate change mitigation.
This study demonstrates that freshly prepared ground kaffir lime peel aqueous extract is the most effective botanical larvicide against *Aedes aegypti* larvae, achieving 100% mortality within 24 hours and presenting a promising, low-cost alternative to synthetic chemicals.
This study demonstrates that among three synthesized combinatorial nanofertilizers (HNF, ZNF, and CNF), the Zeolite-based formulation (ZNF) exhibits superior physicochemical properties and most effectively enhances rice growth, biochemical resilience, and grain quality compared to the other treatments and a control.
This study demonstrates that both diatomaceous earth and *Ocimum basilicum* essential oil are effective, environmentally friendly alternatives to synthetic acaricides for managing the citrus brown mite (*Eutetranychus orientalis*), with diatomaceous earth showing superior laboratory toxicity and reproductive suppression while both agents achieved comparable population reductions under semi-field conditions.
This study reveals significant phenotypic and biochemical diversity in the fruit morphometrics, oil content, and fatty acid composition of *Acrocomia aculeata* across eight Costa Rican sites, highlighting distinct oil allocation patterns between mesocarp and kernel tissues that offer a valuable foundation for germplasm selection and breeding programs.
This study reveals that while green leafy vegetables irrigated with untreated slaughterhouse wastewater in Rufiji District, Tanzania, contain metal concentrations below international guidelines, the cumulative exposure to multiple elements poses a significant non-carcinogenic health risk to consumers, highlighting the urgent need for wastewater treatment and improved agricultural management practices.
A field experiment on strawberry cv. 'Winter Dawn' demonstrated that while the combined foliar application of GA3, boron, and calcium nitrate maximized vegetative growth, yield, and economic returns, the combination of nano urea, boron, and calcium nitrate was most effective for enhancing fruit quality parameters such as TSS, ascorbic acid, and total sugar.
This study demonstrates that surface sanding enhances bamboo dyeing efficiency and uniformity by modifying microstructure and increasing permeability, while identifying optimal sanding and dyeing parameters that balance improved color penetration with acceptable light fastness for eco-friendly applications.
This study proposes ResMDCL-PDM, an IoT-enabled multi-task deep learning framework that integrates environmental sensing with a modified ResNet-50 architecture to achieve 97.8% accuracy in simultaneously identifying crop species, classifying pest and disease categories, and estimating infection severity for maize and rice production.