scholarly journals Impact of emissions from brick industries on soil properties, agricultural crops and homegardens in Chittagong, Bangladesh

2021 ◽  
Vol 12 (4) ◽  
pp. 159-172
Author(s):  
H. M. Raihan Sarker A. ◽  
Suza Ma ◽  
Røskaft Eivin
Keyword(s):  
Soil Properties ◽  
Agricultural Crops

scholarly journals Determination of optimal irrigation rates of agricultural crops under consideration of soil properties and climatic conditions

2016 ◽  
Vol 14 (3) ◽  
pp. 217-221 ◽  
Author(s):  
Irakli Kruashvili ◽  
Konstantine Bziava ◽  
Irma Inashvili ◽  
Maia Lomishvili
Keyword(s):  
Soil Properties ◽  
Climatic Conditions ◽  
Agricultural Crops

scholarly journals Indicators of optimal soils conditions for crop growing and preserving soil fertility in Rostov region and North Caucasus under irrigation conditions

2019 ◽  
Vol 135 ◽  
pp. 01086 ◽  
Author(s):  
Viktor Zhurba ◽  
Nadezhda Gordeeva ◽  
Irina Mehantseva ◽  
Alina Golubeva ◽  
Yana Kabanova ◽  
...  
Keyword(s):  
Soil Fertility ◽  
Soil Properties ◽  
Land Reclamation ◽  
Plant Productivity ◽  
Agricultural Crops ◽  
North Caucasus ◽  
The North ◽  
Rostov Region ◽  
Favorable Conditions ◽  
The Relationship

The tasks of agrotechnical and land-reclamation techniques in creating favorable conditions for the agricultural crops growth are determined. Maintaining high soil fertility and good land-reclamation. Soil fertility model with optimal indicators providing a combined expanded reproduction of soil fertility is proposed. Main indicators of potential soil fertility are considered. Indicators and properties of soils are captured, the relationship between plant productivity and soils quality is made. The adverse soil properties of the North Caucasus that include alkalescency and alkalinity are determined. Complex of agrotechnical and land-reclamation techniques for improving adverse soils is proposed.

scholarly journals Effect of Eucalyptus Bund Plantation on Yield of Agricultural Crops and Soil Properties in Semi-Arid Region of India

2017 ◽  
Vol 6 (10) ◽  
pp. 2059-2065 ◽  
Author(s):  
K.K. Bhardwaj ◽  
R.S. Dhillon ◽  
Sushil Kumari ◽  
Vishal Johar ◽  
V. Dalal ◽  
...  
Keyword(s):  
Soil Properties ◽  
Arid Region ◽  
Agricultural Crops ◽  
Semi Arid Region ◽  
Semi Arid

Rational nature management - the basis for increasing the stability of agricultural crops for diseases and pests

2019 ◽  
Vol 325 (5) ◽  
pp. 65-69
Author(s):  
I.A. Trofimov ◽  
◽  
V.M. Kosolapov ◽  
L.S. Trofimova ◽  
E.P. Yakovleva ◽  
...  
Keyword(s):  
Nature Management ◽  
Agricultural Crops ◽  
Rational Nature ◽  
The Stability

SPECIES, HOST RANGE, AND IDENTIFICATION KEY OF WHITEFLIES OF BOGOR AND SURROUNDING AREA

2019 ◽  
Vol 18 (2) ◽  
pp. 127
Author(s):  
Purnama Hidayat ◽  
Denny Bintoro ◽  
Lia Nurulalia ◽  
Muhammad Basri
Keyword(s):  
Host Range ◽  
Host Plants ◽  
Ornamental Plants ◽  
Identification Key ◽  
Agricultural Crops ◽  
Surrounding Area ◽  
Aleurodicus Dispersus ◽  
Agricultural Plants ◽  
Surrounding Areas ◽  
Forest Plants

Species identification, host range, and identification key of whiteflies of Bogor and surrounding area. Whitefly (Hemiptera: Aleyrodidae) is a group of insects that are small, white, soft-bodied, and easily found on various agricultural crops. Whitefly is a phytophagous insect; some species are important pests in agricultural crops that can cause direct damage and can become vectors of viral diseases. The last few years the damage caused by whitefly in Indonesia has increased. Unfortunately, information about their species and host plants in Indonesia, including in Bogor, is still limited. Kalshoven, in his book entitled Pest of Crops in Indonesia, published in the 1980s reported that there were 9 species of whitefly in Indonesia. The information on the book should be reconfirmed. Therefore, this study was conducted to determine whitefly species and its host plants in Bogor and its surroundings. Whiteflies is identified based on the ‘puparia’ (the last instar of the nymph) collected from various agricultural plants, ornamental plants, weeds, and forest plants. A total of 35 species of whiteflies were collected from 74 species and 29 families of plants. The collwcted whiteflies consist of four species belong to Subfamily Aleurodicinae and 31 species of Subfamily Aleyrodinae. The most often found whitefly species were Aleurodicus dispersus, A. dugesii, and Bemisia tabaci. A dichotomous identification key of whiteflies was completed based on morphological character of 35 collected species. The number of whitefly species in Bogor and surrounding areas were far exceeded the number of species reported previously by Kalshoven from all regions in Indonesia.

Applying the Method of Lagrange Multipliers to Derive an Estimator for Unsampled Soil Properties

2014 ◽  
Vol 11 (1) ◽  
pp. 15
Author(s):  
Set Foong Ng ◽  
Pei Eng Ch’ng ◽  
Yee Ming Chew ◽  
Kok Shien Ng
Keyword(s):  
Soil Properties ◽  
Lagrange Multipliers ◽  
Unbiased Estimator ◽  
Soil Property ◽  
Minimum Variance ◽  
Distance Method ◽  
True Value ◽  
A Site ◽  
Method Of Lagrange Multipliers ◽  
Inverse Distance

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.

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