International Journal of Advances in Agricultural Science and Technology
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Role of Participatory Varietal Selection (PVS) and Sensory Evaluation for Lowland Rice Improvement in Bihar
Get PDFStudy on participatory varietal selection (PVS which provided opportunities for male andfemale farmers’ to express their preference for rice varieties at the early stages of the breedingprocess and Sensory evaluation which provided opportunity to taste the cooked rice and show theirpreferences. were conducted at ARI, Mithapur, Patna. Forty three farmers participated in thepreference analysis and selected RAU 759-5-41 followed by RAU 729-12-44 for having features likesemi-tall plant, good tillers, long panicle medium bold grains, shinning of grains, white kernel, stiffstem, no lodging and suitable for low land and expecting good yield and good market price etc. Thecorrelation between male and female farmers’ preference scores were strong. The result of sensoryevaluation where ninety six farmers participated showed Swarna Sub-1 as rank first followed byRAU 759-5-41 and Swarna
Influence of the farmiing, soil cultivation and Fertilization on the yield of wheat
Get PDFThe Maize Research Institute-Knejja experimental field has been collecting data on typical chernozem soiltype over the last half-century. The years 2000–2010 are included in the research. Wheat improvesperformance in terms of hectoliter weight, grain production, and performance mass per thousand grainswhen grown in a unit with maize. Grain yield improved by 16, 69% as compared to monoculture wheat.There is no correlation between increasing the depth of plowing in monoculture wheat to 10-12 sm and anincrease in grain output (A2). There is no mathematical proof since the variations in the test are so small.Grain yield and performance mass per thousand grains are both improved by fertilization. Grain yield risesby 1228 kg/ha for A1, 880 kg/ha for A2, 953 kg/ha for A3, 804 kg/ha for A4, and 908 kg/ha for A5, asshown in the mathematical LSD- 0,1%. This is in comparison to variations without fertilization
Effect of the rhizobacterium Bacillus subtilis on the development of the root-knot nematode Meloidogyne arenaria at different temperatures
Get PDFThe root-knot nematode Meloidogyne arenaria was cultured in a controlled environment to determine theinfluence of temperature on the efficiency of the rhizobacterium Bacillus subtilis. Seedlings of the secondstage of the Mycobacterium arenaria were introduced to potato plants (Solanum tuberosum L.). Bacterialsuspensions of two local strains of B. subtilis (A1 and B1) were applied to the plant rizosphere on the 7th,14th, and 21st days following worm inoculation. The potato plants were cultivated in a controlledenvironment with temperatures ranging from 16±1 to 32±1ºC. After treating potato roots with B. subtilis(strains A1 and B1), the rate of M. arenaria development was shown to be reduced compared to untreatedplant roots. Under these conditions, the bacteria inhibited the growth of Mycoplasma arenaria to the greatestexten
Enhancing Educational Assessment Efficiency: An AIbased Approach to Automated Examination Evaluation
Get PDFManually grading subjective papers is a difficult and time-consuming task. Lack of comprehension and acceptanceof the results is one of the biggest obstacles to employing artificial intelligence (AI) to analyse subjective articles.There have been several attempts to grade responses from pupils using computer science. However, most of thework uses specific words or traditional counts to achieve this. Furthermore, verified data sets are not enough.Using a range of natural language processing, machine learning, and toolkits, including Wordnet, Word2vec, wordmover's distance (WMD), cosine comparison, multinomial naive bayes (MNB), and others, this study presents anovel approach for automatically analysing descriptive responses and TF-IDF, or term frequency-inversedocument frequency. Answers are evaluated using keywords and solution statements, and grades are predictedusing a machine learning algorithm. Overall, the findings show that WMD and cosine are more comparable. Themachine learning system may be used independently once it has undergone the required training. Trial and errorresults 
Enhancing Security in E-Voting through Blockchain Integration and Aadhaar Card Authentication
Get PDFPositive developments have resulted from the incorporation of technology into many elements of social life. Blockchaintechnology is a significant game shift in this area. Blockchain has transformed many organizations by creating a fairplaying field for both customers and large entities such as corporations and governments, thanks to its decentralizedarchitecture and immutability. The blockchain's decentralized structure allows for transparency and independentverification of election results, while immutability ensures the integrity of the voting process by eliminating thepossibility of interference. While blockchain-based voting systems have benefits such as decentralization, immutability,and transparency, several difficulties must be addressed. Scalability is one of these difficulties that requires carefulconsideration. Furthermore, it is critical to ensure the security of the voting process, which includes voter fraud,cyberattacks, and vote manipulation. However, by implementing robust safeguards like voter identification via Aadhaarcard authentication and advanced security protocols like multifactor authentication and encryption. 
MITIGATING COVID-19 TRANSMISSION IN SCHOOLS WITH DIGITAL CONTACT TRACING
Get PDFTechnology advancements have a rapideffect on every field of life, be it medicalfield or any other field. Artificialintelligence has shown the promisingresults in health care through its decisionmaking by analysing the data. COVID19 has affected more than 100 countriesin a matter of no time. People all overthe world are vulnerable to itsconsequences in future. It is imperativeto develop a control system that willdetect the coronavirus. One of thesolution to control the current havoc canbe the diagnosis of disease with the helpof various AI tools. In this paper, weclassified textual clinical reports intofour classes by using classical andensemble machine learning algorithms.
Feature engineering was performedusing techniques like Termfrequency/inverse document frequency(TF/IDF), Bag of words (BOW) andreport length. These features weresupplied to traditional and ensemblemachine learning classifiers. Logisticregression and Multinomial Naı¨veBayes showed better results than otherML algorithms by having 96.2% testingaccuracy. In future recurrent neuralnetwork can be used for better accuracy
Effect of Intercropping in Winter Maize for Higher Production Potential in Northern Bihar
Get PDF: A field experiment was conducted at TCA farm, Dholi, a campus of RajendraAgricultural University, Pusa (samastipur) Bihar during winter season 2003-04 to evaluate theproduction potential and economic feasibility in maize based cropping system. The experimentconsisted of 11 treatments was planted on 22.11.2003. The experiment was conducted in RBDdesign with 3 replications. Perusal of data of experiment conducted revealed that maize grown assole secured highest plant height, LAI, Drymatter accumulation No. of grain/cob, test wt, grainyield, Harvest index. Data revealed that sole maize(T1 )secured highest all the parameter viz. plantheight, LAI, Drymatter accumulation test wt, grain yield ,harvest index. Among intercrops T8-maize+ 1 row radish, showed better growth, better expression plant height, LAI, Drymatter accumulationtest wt, grain yield, harvest index than when intercropped with potato, rajmash, pea and fababean. 
Isolation and Characterization of Indigenous Rhizosphere Bacteria Producing Gibberellic Acid and Indole Acetic Acid from Local Soybeans in South Sulawesi
Get PDFAbstract: This study aimed to isolate and characterize the indigenous rhizosphere bacteria producing Gibberellic Acid and Indole Acetic Acid as plant growth regulators isolated from local soybean of South Sulawesi, Indonesia. Several root samples and soil samples of soybean plants were collected from the rhizosphere of local soybeans in three different areas of South Sulawesi such as Soppeng, Bone and Takalar. There were fifty six isolates of bacteria taken from Soybean roots and soil and grouped into gram-positive bacteria and gram negative bacteria. There were 35 isolates that produced a thick slime or felt slimy when cultured on Natrium Broth media and the remaining 21 produced spores. The results showed considerable potential for the bacterial isolated to produce Gibbrelic Acid in high concentration. The best isolates of thick slime producing Gibberellin Acid was RK 30 (4.670 mg/ml), RK 17 (3.797 mg/ml), RK 15 (3.703) and RK 35 (3.222 mg/ml). There were 4 isolates that produced high concentrations of Indole Acetic Acid including RK 32 (2.794 mg / ml) followed by RK 8 (1.810 mg/ml), RK 23 (1.714 mg / ml), and RK 30 (1.678mg / ml) respectively. 
Impact Assessment on Rural Women through Mushroom Cultivation Training Programme
Get PDFRural women play a vital role in farm and home system. She contributes substantially in thephysical aspect of farming, livestock management, post-harvest and allied activities.Women contribute 50-60% of labour in farm production in India. There is evidence tosuggest that if agriculture were focused on women, outputs could increase by as much as10-20%, the ecological balance could be restored, and food security of communitiesimproved.
 
A Novel Carry Skip BCD Adder Implementation Using Reversible Logic for Nanotechnology-Based Systems
Get PDFIn recent years, reversible logic has emerged as a promising technology withapplications spanning low-power CMOS, quantum computing, nanotechnology, andoptical computing. Quantum computing, in particular, relies on reversible logic for itsrealization. The construction of low-power and low-loss computational structures iscrucial for developing arithmetic circuits used in quantum computation, nanotechnology,and other low-power digital circuits. This work presents optimized one-digit BCD addersand carries skip BCD adders using new reversible logic gates. The proposed approachaims to minimize quantum cost and optimize performance compared to existing circuits,focusing on reducing the number of reversible gates used and minimizing garbage outputsproduced. The objective is to design faster BCD adders and provide a foundation forbuilding the decimal Arithmetic Logic Unit (ALU) of a Quantum CPU. The work isimplemented using Hardware Description Language (HDL), with Simulation & Synthesisconducted on Xilinx ISE. The design targets the Xilinx Spartan 3E FPGA device. Thisresearch contributes to the advancement of efficient and high-performance arithmeticcircuits suitable for emerging technologies such as quantum computing andnanotechnology