scholarly journals Soil fertility classification for sugarcane in supply areas of a sugar mill

Author(s):  
Sergio Salgado García ◽  
Sergio Salgado Velázquez ◽  
David Jésus Palma López ◽  
Joel Zavala Cruz ◽  
Samuel Cordova Sánchez ◽  
...  

Objective. To prepare the fertility classification for the sugarcane-cultivated soils in the Pujiltic Sugarcane Mill (PSM) supply area in order to improve decision-making. Design / methodology / approach. The soils were classified according to their fertility (FCC), using a system based on the quantifiable parameters of the upper soil layer and some characteristics of the subsoil directly linked to the growth of sugarcane. Results. Six factors limited the agricultural potential of the PSM soils: alkalinity, water excess or deficit, clay content, erosion, nutritional deficiencies, and low CEC, which alone or in groups act in detriment of soil fertility. Limitations / implications. Solving these problems requires a comprehensive analysis that considers crop type, planting season, and technology availability. Findings / conclusions. The soil fertility classification system enabled the classification of 11 soil subunits of the PSM area.

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.


2021 ◽  
Vol 3 (3) ◽  
pp. 376-388
Author(s):  
Francisco J. Sevilla ◽  
Andrea Valdés-Hernández ◽  
Alan J. Barrios

We perform a comprehensive analysis of the set of parameters {ri} that provide the energy distribution of pure qutrits that evolve towards a distinguishable state at a finite time τ, when evolving under an arbitrary and time-independent Hamiltonian. The orthogonality condition is exactly solved, revealing a non-trivial interrelation between τ and the energy spectrum and allowing the classification of {ri} into families organized in a 2-simplex, δ2. Furthermore, the states determined by {ri} are likewise analyzed according to their quantum-speed limit. Namely, we construct a map that distinguishes those ris in δ2 correspondent to states whose orthogonality time is limited by the Mandelstam–Tamm bound from those restricted by the Margolus–Levitin one. Our results offer a complete characterization of the physical quantities that become relevant in both the preparation and study of the dynamics of three-level states evolving towards orthogonality.


2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enas M.F. El Houby

PurposeDiabetic retinopathy (DR) is one of the dangerous complications of diabetes. Its grade level must be tracked to manage its progress and to start the appropriate decision for treatment in time. Effective automated methods for the detection of DR and the classification of its severity stage are necessary to reduce the burden on ophthalmologists and diagnostic contradictions among manual readers.Design/methodology/approachIn this research, convolutional neural network (CNN) was used based on colored retinal fundus images for the detection of DR and classification of its stages. CNN can recognize sophisticated features on the retina and provides an automatic diagnosis. The pre-trained VGG-16 CNN model was applied using a transfer learning (TL) approach to utilize the already learned parameters in the detection.FindingsBy conducting different experiments set up with different severity groupings, the achieved results are promising. The best-achieved accuracies for 2-class, 3-class, 4-class and 5-class classifications are 86.5, 80.5, 63.5 and 73.7, respectively.Originality/valueIn this research, VGG-16 was used to detect and classify DR stages using the TL approach. Different combinations of classes were used in the classification of DR severity stages to illustrate the ability of the model to differentiate between the classes and verify the effect of these changes on the performance of the model.


2016 ◽  
Vol 41 (4) ◽  
pp. 735-757 ◽  
Author(s):  
NC Shil ◽  
MA Saleque ◽  
MR Islam ◽  
M Jahiruddin

Laboratory studies on soil fertility evaluation was carried out across major agroecological zones (AEZs) of Bangladesh to know the nutrient status of soils and to relate those with soil properties like pH, organic matter, CEC, and clay content. Thirty five composite soil samples were collected from intensive crop growing sites, which covered 17 AEZs of Bangladesh. After proper processing, the samples were analyzed for texture, pH, organic carbon, CEC, exchangeable cations (K, Ca, Mg and Na), total N, available P and S following standard methods. The textural class of the soils collected from AEZ 12 and 13 appeared to be mostly clay. Clay loam soil was found in AEZ 4, 8, 9, 11, 25 and 28. Loamy soil was seen in AEZ 1 while AEZ 22, 23 and 29 were mostly sandy textured. The results revealed that 65.7% of the tested soil was acidic while 25.7% was alkaline in nature. All the tested soils showed lower pHKCl compared to pHH2O thus possessed negative charge. About 68.6% of the collected soils contained low (1.10-1.70%) level of organic matter, 25.7% soils retained it at medium level (1.71-2.40) and 5.7% soils at very low level (<1.0%). All the tested soils appeared to be deficient (< 0.12%) in nitrogen content. 68.6% soil samples had the low level of available P while only 8.6% retained it an optimum amount. About 80% of the tested soils contained low level of available S (7.9- 14.7 mg kg -1) although coastal regions soils hold higher amount of available S. High CEC (20-38 cmol kg-1) was found in clay rich soils of AEZ 10, 11, 12, and 13. Study revealed that 40% of the collected soils were very low, 31.4% were low, 8.6% each of medium and optimum, and 11.4% contained high level of exchangeable K. The calcareous soils (AEZ 10, 11, 12 and 13) contained very high level of Ca. Non calcareous soils also showed fairly good level of Ca content except AEZ 1, 3, 23 and 29. Sandy textured soils of greater Dinajpur, Rangpur, Moulvibazar showed lower level of exchangeable Mg. About 86% of the tested soils had the lower (< 2%) potassium saturation percentage (KSP), which needs K application for sustainable crop production. Estimate showed that 44% variability for CEC may be attributed by clay content and the relationship was significant (p = 0.05). Again, 50.4 and 65.6% variability in exchangeable K and Mg, respectively may be governed by clay content of the soils, while such relationship for Ca was non-significant. CEC may contribute 62.2, 92.3 and 83.9% variability for exchangeable K, Ca and Mg content in soils, respectively. The fertility status of most of the studied soils (except AEZ 10, 12, 13 and to some extent 11) appeared to be low to very low, which demand judicious management in order to achieve food security and to conserve the soil fertility.Bangladesh J. Agril. Res. 41(4): 735-757, December 2016


2009 ◽  
Vol 9 ◽  
pp. 16-22 ◽  
Author(s):  
Bhanu B. Panthi ◽  
Bhupendra Devkota ◽  
Jyoti U. Devkota

Coffee (Coffea arabica; Rubiaceae) is a potential and emerging commercial crop. Coffee is planted in the midhills of Nepal (800 to 1250 meter above mean sea level) in Gulmi and Lalitpur districts. To control the major insect pests of coffee plant, locally prepared ‘jaibik bishadi’ (botanical pesticides) are used as alternatives of the synthetic insecticides. This study was undertaken to see the contribution of ‘jaibik bishadi’ in the fertility of the coffee orchards soil, for which soil samples from botanicals used and not used coffee orchards were collected to see the level of soil characteristics and soil nutrients such as soil texture, organic matter, soil nutrients (phosphorous and potassium). There was some difference in the soil texture of topsoil, but no difference could be seen in sand, silt and clay content of the subsoils from botanical used and not used orchards. The pH was significantly different between botanical used and not used soils, but such difference could not be observed between the topsoil and subsoil from the same sites. Jaibik bishadi used to control the coffee pests significantly contributed in the soil fertility, which could be seen in high positive correlation (r=0.9886) between organic matter and nitrogen in the soil.Keywords: Coffee, jaibik bishadi, topsoil, subsoil, soil fertilityThe Journal of Agriculture and Environment Vol:9, Jun.2008 page: 16-22


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Enderwick

Purpose The continuation of China’s belt and road initiative (BRI) is assumed in most analyses. Yet, recent events have created significant reputational damage for China and Chinese businesses. With a trade war evolving into a hegemonic struggle, there are a number of potential developments that could derail the BRI. This paper aims to provide a contemporary review of the factors that could negatively impact its continuation, and what China has done to mitigate the risks. Design/methodology/approach A descriptive paper that groups possible disruptive factors into three groups: internal weaknesses of the BRI and its design; those related to China’s implementation of the BRI and external concerns and pressures. Findings China has actively reviewed and refined the BRI to reduce its perceived weaknesses and increase its attractiveness to potential participants, focussing on debt dependency, transparency and governance. However, this has occurred at the same time as growing concerns regarding China’s international assertiveness, the hegemonic challenge and recovery from the COVID-19 pandemic. Research limitations/implications These changes are occurring within an extremely dynamic environment and any analysis at one point in time is subject to considerable limitations. However, the paper brings together a range of disparate perspectives in a structured manner. Originality/value The classification of possible threats to the BRI is original and provides insights into the relative significance of the diverse challenges that China faces. The paper concludes that while China’s operational focus on the mechanics of the BRI process is necessary, it may not be sufficient to ensure its continuing development. The paper identifies the next step which is conceptualisation of these ideas and of the BRI. Some guidance as to how this might be done is provided.


Author(s):  
Pavel Zemánek ◽  
Patrik Burg

In relation to entrance of Czech Republic to the European union and with wo-revolving harmonization of our law order with EU direction, happen to classification of composting meaning. In presents act there are two circle of problems. First is utilization of rising waste, the second is perfection of soil fertility and raising of enviroment quality.The contribution deal with problems of modelling solution of place to biowaste composting and it´s optimum placing, applied on concrete conditions of the Lednice-Valtice Area. The basis is placement of dominant producer of biowaste, their kind, quantity and season in relation to prescription of compost fill. The proposal of compost technology enable determine size of place and help solve its placing.Circumscribed method is able to find practical exploitation at creation of place suggestion in real condition of existent areas.


2018 ◽  
Vol 7 (1) ◽  
pp. 24
Author(s):  
Asrijal Asrijal ◽  
Ambo Upe

Experimental research will be executed on farm of rice field sample in BPP Palaguna at Wajo Regency. Obstetrical nutrients Analysis of crop and soil will be done in soil Fertility Laboratory, soil sciences department of Faperta Unhas. This Research aim to analyze the ability of nutrients absorption of soy and maize with the mulch application on rice field rainfed. Research will be done/conducted by using Factorial Device in Group ( RDG). First Factor that is crop type with three treatment level that is L1 = Soy; L2 = Maize; and L3 = Maize + Soy. Second Factor is with mulch (M1) and without mulch (M0). Every treatment unit repeated by 3 times, so there are 18 plot, added a plot which is not cultivated as control for the perception of dynamics of Nitrogen (N) and Phosphorous (P) without palawija cultivation. Reason of the crop election for example because both types of the crop have their own system of root and different morphology characteristic which their possibility will influence the ability of conservation N. Result of analysis indicate that ability of absorption of N and P of maize and soy is better with the mulch application on rice field rainfed


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