Contribution of Surface Treatment on Physical and Mechanical Properties of Recycled Concrete Aggregates by Brian Jacks Odero, Raphael N. Mutuku, Timothy Nyomboi, Zachary A. Gariy

“…Furthermore, the replacement of 5% rice husk ash (in 20% concentration) provided the optimal proportion of treatment for RCA, resulting in a reduction of ACV by 31.4%, AIV by 30.0%, and water absorption by 12.7% compared to the untreated RCA. …”
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KINERJA PROTOTIPE RODA PENGGERAK BERSIRIP GANDA PADA LAHAN SAWAH GAMBUT by Herdi Susanto, Herri Darsan, Farid Jayadi, Masykur Masykur, Zakir Husin, Syurkarni Ali

“…Agricultural technology to support the agricultural sector, especially peaty paddy fields, should be developed, because peat land with a thickness of less than one meter has been recommended for rice crops. supported by a potential peatland area of ​​up to 21 million Ha or 10.8% of Indonesia's land area. …”
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Development of animal feeding additives from mushroom waste media of shochu lees by Fumio Yagi, Yuji Minami, Masayoshi Yamada, Kyohei Kuroda, Masahito Yamauchi

“…MHM remarkably decreased xylose in NDF of rice straw, and glucose and xylose in NDF of sweet potato runner. …”
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Antibiotic use on crops in low and middle-income countries based on recommendations made by agricultural advisors by Philip Taylor, Robert Reeder

“…Results Within our data all WHO regions of the world are using antibiotics on crop plants with the exception of Africa (no data for Europe) and the main crop on which they are used is rice. In some years, and in one region, nearly 10% of the management recommendations for rice contained an antibiotic. …”
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Genome assembly of the grassland caterpillar Gynaephora qinghaiensis by Youpeng Lai, Shan Xiao, Minggang Qin, Xinhai Ye, Fang Wang, Qi Fang

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Cereal inflorescence: features of morphology, development and genetic regulation of morphogenesis by O. B. Dobrovolskaya, A. E. Dresvyannikova

“…The Poaceae includes many important crops, such as rice, maize, wheat, barley, and rye. The qualitative and quantitative characteristics of cereal inflorescences are directly related to yield and are determined by the features of inflorescence development. …”
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Bioaugmentation strategies in co-composting anaerobically digested food waste with agricultural by-products: Enhancing fertilizer quality and microbial communities by Xuezhi Wang, Guyu You, Chenchen Liu, Yuan Sun

“…In this study, we investigated the composting process using a mixture of rice straw, food waste, sheep manure and mature composted residues (RFM group) alongside the anaerobically digested residues. …”
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Water Treatment for Fish Aquaculture System by Biochar-Supplemented Planting Panel System by Sumrit Mopoung, Vijitr Udeye, Supaluck Viruhpintu, Nonglak Yimtragool, Visarut Unhong

“…Rice husk biochars were prepared by carbonization at 400–600°C. …”
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Spatial Variation of Arsenic in Soil, Irrigation Water, and Plant Parts: A Microlevel Study by M. S. Kabir, M. A. Salam, D. N. R. Paul, M. I. Hossain, N. M. F. Rahman, Abdullah Aziz, M. A. Latif

“…Both arsenic contaminated irrigation water and the soils were responsible for accumulation of arsenic in rice straw, husk, and grain. The accumulation of arsenic was higher in water followed by soil, straw, husk, and grain. …”
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Rôle de la cueillette, la pêche et la chasse dans l’alimentation au Laos by Florence Strigler

“…There are 6 million inhabitants in Laos, 80% of whom live in rural areas. Together with rice, which is their staple diet, Laotians consume a great variety of vegetable and animal products, obtained through gathering, fishing, and hunting. …”
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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…Its ability to capture calm hours and extreme wind speeds provided more accurate power density estimates, with errors averaging 23%, compared to 33% and 42% for the Weibull and Rayleigh-Rice distributions, respectively. Despite low mean wind speeds (2.7 m/s), Ben Guerir’s ground-based power density ranged from 18 to 54 W/m2. …”
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Genetic Dissection of Sympatric Populations of Brown Planthopper, Nilaparvata lugens (Stål), Using DALP-PCR Molecular Markers by M. A. Latif, M. Y. Rafii, M. S. Mazid, M. E. Ali, F. Ahmed, M. Y. Omar, S. G. Tan

“…Two sympatric populations of brown planthopper, N. lugens, one from rice and the other from a weed grass (Leersia hexandra), were collected from each of five locations. …”
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Comparative analysis of Oreochromis niloticus responses to Chlorella vulgaris and Lactobacillus-fermented Azolla economic feed supplements in biofloc and green systems: An in silic... by Ahmed M. Aboseif, Nasser S. Flefil, Mostafa K.S. Taha, Asmaa Negm El-Dein, Mingchun Ren, Hualiang Liang, Abd-Ellatif M. Hussian

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Transgene Pyramiding of the HVA1 and mtlD in T3 Maize (Zea mays L.) Plants Confers Drought and Salt Tolerance, along with an Increase in Crop Biomass by Thang Xuan Nguyen, Truong Nguyen, Hussien Alameldin, Benjamin Goheen, Wayne Loescher, Mariam Sticklen

“…The pBY520 containing the Hordeum vulgare  HVA1 regulated by the rice actin promoter (Act1 5′) or the JS101 containing the bacterial mannitol-1-phosphate dehydrogenase (mtlD) also regulated by rice Act1 5′ and a combination of these two plasmids were transferred into the maize genome, and their stable expressions were confirmed through fourth generations. …”
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How Do Climate and Nonclimatic Variables Influence the Production of Agricultural Staple Crops in Vulnerable Rural Communities in the Bawku Municipality of Northern Ghana? by Rashida Ayumah, Felix Asante, Lawrence Guodaar, Gabriel Eshun

“….], millet [Pennisetum glaucum L.], and rice [Oryza sativa L.]) in vulnerable communities in the Bawku Municipality of northern Ghana. …”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

“…We combined several plant datasets, including the PlantVillage Dataset, resulting in a comprehensive dataset of 30,945 images across eight plant types (potato, tomato, pepper bell, apple, corn, grape, peach, and rice) and 35 disease classes. Initially, a custom Convolutional Neural Network (CNN) model was developed, achieving a leaf classification accuracy of 95.62 ​%. …”
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Mapping the Land Suitability for Paddy, Corn, and Soybean in Tropical Situation of Jombang District, Indonesia by Zainal Arifin, Dwi Setyorini, Donald Sihombing, Sugiono Sugiono, Evy Latifah, Mohammad Saeri, Catur Hermanto, Amik Krismawati, Nurul Istiqomah, Eni Fidiyawati

“…The strategy is that land suitability zones for rice, corn, and soybeans can be extrapolated to other areas that have the similar agroecology zones in the Jombang region or other regions in Indonesia. …”
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Micro to Nanolevel Stabilization of Expansive Clay Using Agro-Wastes by Mehmood Munawar, Ammad H. Khan, Zia U. Rehman, Abdur Rahim, Mubashir Aziz, Sultan Almuaythir, Bothaina S. I. A. El Kheir, Farhan Haider

“…This paper demonstrates multiobjective optimized improvement of expansive clay (C) geotechnical characteristics by cost-effective agro-wastes additives at microlevel (by 3% to 12% rice husk ash, i.e., RHA), nanolevel (by 0.6% to 1.5% rice husk derived green nano-SiO2, i.e., NS), and synergistic micro to nanolevel (NS-RHA). …”
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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

“…The AMM method consistently demonstrated strong performance, particularly in transferring to rice-growing regions, achieving an overall accuracy of 98%. …”
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ADOPTERs of Innovation in a Crisis: The History of Vera Gedroits, Kanehiro Takaki and the Russo-Japanese War of 1904–1905 by Pratik Raichurkar, BMed, Devesh Kaushal, MBBS, MS, FRACS, Robert Beaumont Wilson, MBBS (Hons 1), BSc, FRACS, FACS

“…Kanehiro Takaki, a Japanese Naval surgeon, showed in 1884 a diet of barley, meat, milk, bread, and beans, rather than polished white rice, eliminated beriberi in the Japanese Navy. Despite this success, the Japanese Army failed to change the white rice rations until March 1905. …”
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