Wild relatives of crops possess adaptive mutations for agronomically important traits, which could play significant role in crop improvement for sustainable agriculture. However, global climate change and human activities pose serious threats to the natural habitats leading to erosion of genetic diversity of wild rice populations. The purpose of this study was to explore and characterize India'...

Sugarcane straw has become an available lignocellulosic biomass since the progressive introduction of the non-burning harvest in Brazil. Besides keeping this biomass in the field, it can be used as a feedstock in thermochemical or biochemical conversion processes. This makes feasible its incorporation in a biorefinery, whose economic profitability could be supported by integrated production of ...

This study was aimed at preliminarily assessing the cytoprotective and antioxidative effects of rice bran extracts (RBEs) from a Sarawak local rice variety (local name: "BJLN") and a commercial rice variety, "MR219," on oxidative stress in rat H9c2(2-1) cardiomyocytes. The cardiomyocytes were incubated with different concentrations of RBE and hydrogen peroxide (H2O2), respectively, to identify ...

One of the most important food crops is rice. For this reason, accurate identification rice pests a critical foundation for pest control. In study, we propose an algorithm automatic and classification based on fully convolutional networks (FCNs) select 10 experiments. First, introduce new encoder–decoder in FCN series sub-networks connected by jump paths that combine long jumps shortcut connect...

Weedy rice infestation has become a major problem in all rice-growing countries, especially Malaysia. Challenges remain finding rapid technique to identify the weedy seeds that tend pose similar taxonomic and physiological features as cultivated seeds. This study presents image processing machine learning techniques classify seed variants A vision unit was set up for acquisition using an area s...