International Journal of Advances in Agricultural Science and Technology
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PHYTOREMEDIATION OF SOIL AND WATER CONTAMINATED WITH HEAVY METALS
Get PDFModern style of living, exponential growth in different industries, release of effluents and sewagewithout treatment has contaminated our soil and water bodies. Not only these, food materials are also being pollutedwith these toxic compounds and finally we are passively taking these chemicals through our food chain.Detoxification of the toxic metabolites is a burning challenge before the researcher and the scientists of the age.Among the different techniques so far being used, it is a confirmed fact that phytoremediation is the best because itis sustainable, cost effective and eco-friendly. More than 400 plant species have been identified to have potential forsoil and water remediation. Among them Thlapsi, Brassica, Sedum alfredii H, Arabidopsis, Helianthus species havebeen mostly studied. This paper attempted to provide a brief review on recent progressive in research and practicalapplications of phytoremediation for soil and water resources
EFFECT OF INTEGRATED NUTRIENT MANAGEMENT UNDER REDUCED TILLAGE ON YIELD AND NUTRIENT UPTAKE OF WHEAT (Triticum aestivum L.)
Get PDFA field experiments was conducted during 1999-2000 and 2000-2001 at theAgricultural Research Farm, Institute of Agricultural Sciences, Banaras Hindu University,Varanasi in split-plot design with three replications to assess the effect of INM on wheat underreduced tillage. The field experiment was initiated with green manure crop of Dhaincha(Sesbaniacanabena) which was followed by rice and finally test crop of wheat was taken.Recommended does of N,P and K(120:60:60) were applied to rice and grain and straw yieldswere recorded during both the years. Four main plot treatments comprising of tillage methodsand green manuring and seven sub plot treatments comprising of different combination ofchemical and organic nitrogen sources were tested. The maximum yield of grain and straw;N,P and K content in grain and straw and their uptake were recorded under conventionaltillage with green manuring(M4) and minimum was under reduced tillage without greenmanuring (M1) during both the years. The subplot treatment S7 where in 4t ha-1of sludge wasadded in addition to 100% N through chemical sources gave maximum grain and straw yieldand N concentration and uptake. However, the highest P,K concentration in grain and strawwere achieved by applying 50% N through urea and 50% N through sludge. P uptake wasfound to be maximum in S7 and minimum in S4. Grain and straw removed maximum Kin S7whereas minimum K removal was recorded with S1 during both the years of experimentation
Age-related changes in mineral retention and excretion in starter and finisher pigs diets with and without exogenous phytase
Get PDFMale castrated DanBred hybrid pigs were subjected to five balanced feeding experiments designed to assesschanges in nitrogen, phosphorus, and calcium consumption as a function of age. Optiphos and Natuphos,two commercially available phytase preparations, were used at a concentration of 0.01%. There was astatistically significant increase (P<0.05) in both the quantity of nitrogen consumed by the body and theamount of nitrogen excreted in urine as individuals aged. Additionally, the overall nitrogen production wasgreater. Over time, there was a marked decline in nitrogen retention. This trend persisted even after phytasewas added to the diet. Feeding phytase increased phosphorus uptake by 28% to 34% while decreasing totalproduction by 38% to 45%. As pigs aged, their indigestibility of calcium reduced and their feces productionincreased. When comparing the effects of Optiphos and Natuphos, no statistically significant difference wasfound. 
Stability Analysis of Six Improved Sorghum Genotypes across Four Environments in the Southern Guinea Savanna Agroecological Zone of Nigeria
Get PDFSix sorghum genotypes from the Institute for Agric Research Zaria were evaluated for stabilitystudy in four environments in the Southern Guinea Savanna in the 2009 & 2010 croppingseasons using Randomized Complete Block Designs (RCBD) with four replications in each ofthe locations. Analysis of Variance was carried out for each set of data collected and wheresignificant difference was observed, mean separations was done using Duncan MultipleRange test. The regression coefficient (b) of Finlay and Wilkinson (1966), ecovalence (W2)and mean squares of deviation from regression (S2d) of Eberhart and Russel (1966) were usedas stability parameters. The highest yield genotype was SSV2006019 (6.06t/ha) while the leastyield was SSV2006043 (4.02t/ha), based on the stability parameters, Genotypes SSV2006019,SSV2006039 and SSV2006040 with ecovalence values of 0.28, 0.003 and 0.14 and b values of0.99, 0.84 and 1.01 respectively appeared to be stable and adapted to the test environmentswhile SSV2006002 and SSV2006006 with yield values of 4.82 and 4.47t/ha respectivelyappears to be good for poor environments
PREDICTION OF MODERNIZED LOAN APPROVAL SYSTEM BASED ON MACHINE LEARNING APPROACH
Get PDFWith the enhancement in the banking sector lots of people are applying for bank loansbut the bank has its limited assets which it has to grant to limited people only, so finding outto whom the loan can be granted which will be a safer option for the bank is a typical process.So in this paper we try to reduce this risk factor behind selecting the safe person so as to savelots of bank efforts and assets. This is done by mining the Big Data of the previous records ofthe people to whom the loan was granted before and on the basis of these records/experiencesthe machine was trained using the machine learning model which give the most accurateresult. The main objective of this paper is to predict whether assigning the loan to particularperson will be safe or not. This paper is divided into four sections (i)Data Collection (ii)Comparison of machine learning models on collected data (iii) Training of system on mostpromising model (iv) Testing
PERSONALITY-AWARE PRODUCT RECOMMENDATION SYSTEM BASED ON USER INTERESTS MINING AND META-PATH DISCOVERY
Get PDFOnline marketplaces often witness opinion spam in the form of reviews. People are often hired totarget specific brands for promoting or impeding them by writing highly positive or negativereviews. This often is done collectively in groups. Although some previous studies attempted toidentify and analyze such opinion spam groups, little has been explored to spot those groups whotarget a brand as a whole, instead of just products. In this article, we collected the reviews fromthe Amazon product review site and manually labeled a set of 923 candidate reviewer groups.The groups are extracted using frequent itemset mining over brand similarities such that users areclustered together if they have mutually reviewed (products of) a lot of brands. We hypothesizethat the nature of the reviewer groups is dependent on eight features specific to a (group, brand)pair. We develop a feature-based supervised model to classify candidate groups as extremistentities. We run multiple classifiers for the task of classifying a group based on the reviewswritten by the users of that group to determine whether the group shows signs of extremity. Athree-layer perceptron-based classifier turns out to be the best classifier. We further studybehaviors of such groups in detail to understand the dynamics of brand-level opinion fraudbetter. These behaviors include consistency in ratings, review sentiment, verified purchase,review dates, and helpful votes received on reviews. Surprisingly, we observe that there are a lot of verified reviewers showing extreme sentiment, which, on further investigation, leads to waysto circumvent the existing mechanisms in place to prevent unofficial incentives on Amazon. 
Digestibility and Growth Performance of Rabbits Fed Raw or Processed Lablab Purpureus Seed in Diets
Get PDFA study was conducted to determine the Digestibility of growing rabbits fed raw or processed Lablabpurpureus seed in diets. The Highworth variety was processed by decortication, toasting and boiling, milland respectively incorporated into diets T2, T3, T4 and T5 to replace 75% of protein provided by full fatsoyabean (FFSB) in the control diet (T1). The effect of replacing FFSB with Lablab purpureus seed onnutrient digestibility was investigated in growing rabbits in an 8-week feeding trial with 5-weeks oldmixed bred rabbits weighing between 350-358g in a completely randomized design. The Highworth lablabseeds diets and faecal samples of experimental rabbits were assayed for proximate chemical composition.The crude protein, crude fibre, ether extract and energy digestibility were higher in rabbits fed raw ordecorticated lablab seed diets than those fed control or heat treated seed diets. Decorticated lablab seeddiets were most digested than the other diets. This suggests that the cortex of legume seed may haveimposed a negative influence on the digestibility of these nutrients. The present study indicates that thedigestion of a diet may be high but the utilization can be poor due to impaired absorption; caused by thepresence of anti-nutritional factors like phytohaematogglutinins, which exert a non-selective adverse effecton the absorption of nutrients from the intestinal tract rather than a direct effect on the digestive process
Identifying Criminal Activity on social media using Dession TreeICLE USING RFID TECHNIQUE
No full textThe number of vehicles/traffic is increasing exponentially day-by-day,due to which automatic vehicles identification/monitoring system is being paidsignificance all over the world. Different countries in the world are using varioustypes of automatic systems for traffic control, vehicles identification. Number platerecognition (NPR) is an authentic-time embedded system which frequentlyrecognition the number plate of vehicle. Pervious systems are using only foridentification of vehicle. The proposed system cumulates both the RFID (RadioFrequency Identification) and NPR systems for the identification and verification ofvehicl
Effects of Cryogenic Freezing on Food
No full textFood materials are perishable by nature. They require processing orpreservation techniques to enhance the storage life. Cryogenics is a branch ofengineering wherein production of cryogen and the maintenance of low temperaturetechnologies are studied. Such cryogens have a tremendous potential to be used as atotal loss refrigerant. Implementing cryogenic solutions in the field of highvolume/high-quality food processing is important for a number of reasons.Maintaining proper food temperatures throughout the plant is essential for foodpreservation and food safety. These are fundamental elements for consistent foodquality and the hallmark of top quality. At the same time, high-efficiency cryogenicprocesses using either carbon dioxide (CO2) or liquid nitrogen (N2) can boostproductivity and streamline operations
Emotion-Aware Video Recommendation on YouTube: A Face Detection and Recognition Approach
Get PDFArtificial intelligence (AI) is the practice of imitating or simulating human intellect in computers or computersystems using advanced computing techniques and technologies. Human expression is an important sign of aperson's mental and emotional state. Artificial intelligence (AI) is used to read human facial expressions andextract emotions from features such as the cheekbones, forehead, eyes, and grins. Furthermore, "songs" refers toan expressive medium that has long been the most effective method of deciphering and understanding humanemotions. The advertised "smart music player" is a pre-programmed device that works on the assumption thatfacial expressions can reflect a person's mood. This method offers music based on mood, which corresponds tothe identification of face micro expressions with intercultural expression nuances. It is built by merging thesong's features with micro expression recognition technologies from convolutional neural networks. This can beperformed by categorizing facial expressions into seven distinct emotional states, including neutral, shocked,furious, sorrowful, and disgusted. The primary purpose of this research paper is to present an overview of auseful music player and social companion that recommends additional research on recommendation systems andautomatically curates a playlist that will make you feel better based on your mood