Volume-1 Issue-1, May 2021 – Indian Journal of Agriculture Engineering (IJAE)

A1503051121

IJAE JOURNAL — Fri, 10 Sep 2021 05:18:58 +0000

The Indian Journal of Agriculture Engineering (IJAE) has ISSN 2582-9319, an open-access, peer-reviewed, periodical half-yearly international journal, which is published by Lattice Science Publication (LSP) in May and November. The journal aims to publish high-quality peer–reviewed original articles in the area of Agriculture Engineering that covers Soil Engineering, Water Engineering, Farming, Farm Machinery, Ergonomics, Farm Structures Renewable Energy, Postharvest Technology, Food Process Engineering, Agricultural Biotechnology, Agriculture Engineering and Agriculture Technology. #Soil Engineering #Water Engineering #Farming #Farm Machinery #Ergonomics #Farm Structures #Renewable Energy #Postharvest Technology #Food Process Engineering #Agricultural Biotechnology #Agriculture Engineering #Agriculture Technology #PhD ademic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Modeling the Filling Rate of Faeces in Ordinary Pit Latrines
Ugwu Francis Ifeuzu¹, Agunwamba Jonah Chukwuemeka²

¹Ugwu Francis Ifeuzu, Department of Civil Engineering, University of Nigeria, Nsukka.

²Prof. Agunwamba Jonah Chukwuemeka, Department of Civil Engineering, University of Nigeria, Nsukka.

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Abstract: Faecal sludge deposited into the pit latrine is subject to biodegradation. The aim of this research was to develop model for the filling rate of faeces in ordinary pit latrine together with the effect of shape factor on such fillings to prepare the minds of users on the filling characteristics of the pit based on contents, usage and environmental factors. Consequently, faecal sludges sampled from 100 pits already filled were subjected to laboratory analyses for their physico-chemical and biological characteristics. Models for the actual filling rate of faeces in ordinary pit latrines were derived using BOD, COD, VS, and TS data, calibrated and verified. For a more critical situation, models were also derived for the filling rates considering pit shapes that gave the actual pit filling in comparison with the general condition. From the results, the actual filling rate was lower than those obtained using BOD, VS and TS. However, the COD gave filling rate closer to the actual filling rate than other parameters since TS could not be used to assess the filling rate of faeces in pit latrines. The pits exhibited low filling rate in terms of BOD in 2 pits. In terms of COD, the filling rate was higher compared with that of BOD. Low filling rate was observed with volatile solids and only 3 pits exhibited moderately high filling rates whereas total solids had the highest number of pits with high filling rates. The filling rates for both the square and rectangular pits increased by 26.5% from 40 – 90 ℓ/capita/year to 50 – 112 ℓ/capita/year due to the shape factor and this was above the values obtained in existing models while that of the circular pit remained the same. Reduction in pit volume and increase in filling rate by faeces was due to dead corners as a result of clogging, thereby reducing the area available for faecal infiltration into the surrounding soil. Circular pits are more stable because of the natural arching effect of the ground around the hole and there are no corners to concentrate the stresses. Pits with flat sides are much more likely to develop clogging resulting to dead corners than the circular pit. From this study, it is therefore evident that the shape of pit latrine determines the actual volume and the filling rate of faeces in pit latrine taking into consideration geological and environmental factors. Thus for optimal design, our engineers should take note of the pit shape factor. Thus, the model can be used to determine the filling rate of ordinary pit latrines considering soil characteristics, ground conditions and other favourable conditions.

Keywords: Faecal sludge; pit latrine; biodegradation; filling rate; filling characteristics; environmental factors; physico-chemical and environmental characteristics; favourable conditions; shape factor; latrine shapes; absorption system; dead corners; effective cross-sectional area, optimal pit latrine design.
Scope of the Article: Pit Latrines

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H0102072819

IJAE JOURNAL — Mon, 09 Aug 2021 12:19:43 +0000

Agricultural Commodities Price Prediction System using ML Algorithm
Vinutha M¹, Gayitri H.M²
¹Vinutha M, Student, Agricultural University, Berasia, Madhya Pradesh, India.

²Gayitri H.M, Agricultural University, Berasia, Madhya Pradesh, India.

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Abstract: Most of the India’s population depends on agriculture for their source of income. But, as and when it evolved, the complexities also grew with it, which made the farmers to struggle. Few major difficulties being faced by the marginal and small farmers at present are, high investment cost, unpaid loans, lack of basic awareness about agriculture, marketing issues, drought, etc. So, the proposed work gives solution to few of these issues through a web application. It firstly gives an “Agricultural Guide” in the form of a PDF file that contains overall information starting from farm land details to marketing their cultivated product and secondly, it includes a crop price prediction system that uses the Naive Bayes algorithm. The crop price prediction system is specifically developed for Mysuru District. The dataset containing Crop name, Rainfall, Yield, Max Trade, Crop Price is used as its attributes. The web app contains agricultural departments as one of its users, that is the different regulated agricultural markets present in Mysuru, the staff of any particular department can upload the training dataset and can predict the price. The farmers can know the predicted price by contacting the respective agricultural departments. This application is developed using Visual Studio IDE and SQL Server Management Studio Express .The application is bilingual with Kannada and English languages and the Android version of the same application is provided for faster access. Hence the application helps to reduce some of the problems being faced by the farmers.

Keywords: Agriculture, Naive Bayes, Price Prediction, Web Application.

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A1506051121

IJAE JOURNAL — Mon, 09 Aug 2021 12:07:53 +0000

Review on Integration of Big Data in Iot Agriculture System
Sarmila Gaikwad¹, Jignesh Patil²

¹Sharmila Gaikwad, Assistant professor Rajiv Gandhi Institute of Technology, India.

²Jignesh Patil, Computer Engineering Rajiv Gandhi Institute of Technology, India.

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Abstract: Agriculture is field where different changes are accommodated for quality product. We know that there is different types of irrigation such as old irrigation, sprinkler irrigation and drip irrigation which is integrated or transformed in the IOT but we need to change few things in theirrigation, mostly on crop protection and prevention from the disease. We can save crop from the insect, but we have understood to strength of the crop. Crop strengthis recovered from the critical stage to normal stage, but we must manage the agriculture work at precision. Big data is providing differentalgorithmsuch asMap-Reduce, Recommendation System. In the study we will focus on crop protection.

Keywords: Irrigation, Agriculture, Big Data, Internet of Things , Crop.

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A1504051121

IJAE JOURNAL — Mon, 09 Aug 2021 11:31:41 +0000

Comparative Study of Physicochemical properties of Soil, Aheri, Maharashtra & Effect of Vermicompost Fertilizer
Kavita Gour

Dr. Kavita Gour, Chemistry , Priyadarshini J L College of Engineering, Nagpur, India.

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Abstract: Farmers are using chemical fertilizer for farming to extend the yield of crops. Chemical fertilizer reduces soils fertility and it also contaminate ground water table..Recycling of biowaste is necessary to reduces waste .It makes our campus clean likewise as contribute in sustainable development. This waste are often converted into useful fertilizer as a Vermicompost.Vermicompost will enrich the soil and its fertility. Vermicompost also results in decrease the environmental problems. Vermicompost could be a vital biofertilizer and Vermicompost is enriched with all beneficial soil bacteria and also contains many of the essential plant nutrients like N, P, K and micronutrients.(1) Vermicomposting is that the process of production of compost by breeding earthworms, leading to homogeneous and stabilized humus used as manure and significantly increased the quantity of N, P, K and C concentration in vermicompost. The aim of this paper to recycle biowaste and study various physicochemical property of soil and impact of vermicompost fertilizer on soils property of Aheri, Nagpur. The observed values of various physicochemical parameter in all soil samples, after addition of vemicompost is fairly good.

Keywords: Soil, Fertilizer, Fertility, Vermicompost, Recyling.
Scope of the Article: Soil Engineering

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A1501051121

IJAE JOURNAL — Mon, 09 Aug 2021 11:10:49 +0000

Optimization of Sowing Dates and Seeding Rates with Adaptive Control of The Technology of Cultivation of Winter Barley Varieties Mavlono
Zulayho Yarkulova¹, Abbos Kadirov²

¹Zulayho Yarkulova, Department of Biology, Bukhara State University, Bukhara, Uzbekistan.

²Abbos Kadirov, Department of Biology, Bukhara State University, Bukhara, Uzbekistan.

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Abstract: One of the determining periods in the life of winter cereal plants is sowing (autumn). Only under the condition of good moisture supply and at optimal air temperature, timely and high-quality seedlings can be obtained, tillering shoots and processes of verbalization and hardening of plants to be formed. Based on the importance of the foregoing, this work presents the results of studies in bright gray-earth soils of the Kashkadarya region of the reaction of winter barley of the Mavlono variety for different periods of sowing and seed sowing rate. It was found that plant survival ranged from 86.0 to 89.9%. No significant differences in wintering of plants between crops of different sowing dates were revealed. Seeding rates did not significantly affect the height of plants, spike length and the number of grains in it, which confirms the high plasticity of winter wheat of the Mavlono variety. Our studies have shown that for winter barley of the Mavlono variety in the conditions of the Kashkadarya region, the sowing season is favorable – from 15 October to 1 November, with an optimum sowing rate of 4 million pcs / ha.

Keywords: Winter Barley, Dates of Sowing, Seeding Rate, Variety, Yield.
Scope of the Article: Agriculture Technology

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