scholarly journals Soil parameter detection of soil test kit-treated soil samples through image processing with crop and fertilizer recommendation

2021 ◽  
Vol 24 (1) ◽  
pp. 90
Author(s):  
John Joshua Federis Montañez
Keyword(s):  
Image Processing ◽  
Technology Acceptance ◽  
Soil Ph ◽  
Soil Testing ◽  
Soil Parameters ◽  
Soil Test ◽  
Time Saving ◽  
Prototype Development ◽  
Test Kit ◽  
Fertilizer Recommendations

<span>Standard laboratory soil testing is deemed to be expensive and time-consuming. Utilizing a soil test kit is considered to be a cost-efficient and time-saving way of soil testing. This project study aims to develop a prototype that detects soil parameters (i.e., soil pH, nitrogen, phosphorus, and potassium) and gives crop and fertilizer recommendations after the soil sample has undergone a soil treatment test kit and its acceptability for possible users. The prototype development primarily used image processing to detect the needed parameters that lead to crop and fertilizer recommendations. In the evaluation of the effectiveness of the prototype, 50 trials were conducted per parameter. All of the said parameters were recorded as highly effective except for nitrogen Low, which is interpreted as effective only. There were 30 possible users invited to assess the acceptability of the prototype. A survey based on the technology acceptance model was administered to the 30 respondents garnering a 4.85 weighted mean interpreted as excellent. The prototype was proven effective and accepted as a device that can detect soil pH and primary macronutrient levels. It gives the appropriate crop and fertilizer recommendations based on the gathered data.</span>

scholarly journals Soil Testing using Sensors with Android Application

2019 ◽  
Vol 8 (3) ◽  
pp. 5816-5821
Keyword(s):  
Soil Ph ◽  
Plant Development ◽  
Normal Level ◽  
Critical Parameter ◽  
Water System ◽  
Soil Testing ◽  
Soil Parameters ◽  
Android Application ◽  
System Framework ◽  
Supplement Use

With advancement in innovation different rural practices have moved from customary procedures to computerized methods like field water system framework. Numerous such horticultural parameters are being checked remotely to improve nature of cultivating. A standout amongst the most critical parameter in cultivating is soil fruitfulness for example proportion in which different supplement fundamental for yield is available in soil. To screen soil ripeness, pH of the dirt is most normally estimated. It is likewise a standout amongst the most helpful and educational soil parameters in view of its relationship to numerous parts of soil ripeness and plant development. In spite of its significance, the ramifications of lacking soil pH on rummage reaction, especially supplement use productivity, are frequently ignored. In the proposed framework we decide the normal level of essential soil supplements Nitrogen, Phosphorous and Potassium and decide the appropriate yields for the specific soil type. In this work it will break down soil supplement content at ongoing and make crop expectation. Framework will be based on Arduino. Framework will likewise propose the yields on premise decided PH of soil.

scholarly journals Farmer-Focused Tools to Improve Soil Health Monitoring on Smallholder Farms in the Morogoro Region of Tanzania

2018 ◽  
Vol 19 (1) ◽  
pp. 56-63
Author(s):  
Anna L. Testen ◽  
Delphina P. Mamiro ◽  
Jackson Nahson ◽  
Nyambilila A. Amuri ◽  
Steven W. Culman ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Low Cost ◽  
Soil Health ◽  
Soil Testing ◽  
Soil Test ◽  
Health Card ◽  
Project Completion ◽  
Local Soil ◽  
Test Kit ◽  
Management Recommendations

A participatory approach was used to improve smallholder tomato farmers’ understanding of and access to soil health monitoring in the Morogoro Region of Tanzania. Baseline soil characteristics were gathered from 50 tomato fields in the region, local soil knowledge was elicited from farmers and used to develop a soil health card to qualitatively assess soil health, and farmers (n = 32) were trained on the use of a low-cost soil test kit to quantitatively assess soil health. Farmers most often described local indicators of soil health in terms of soil texture and tilth, soil color, soil water relations, and soil fertility. Following use of the soil test kit, farmers indicated increased awareness of soil testing services (Wilcoxon signed rank Z = –3.0, P = 0.001), more agreed they had access to soil testing services (Z = –2.7, P = 0.004), and more agreed that soil management recommendations were easy to understand (Z = –3.4, P < 0.0001) compared with pre-exposure results. Farmers continued to use the soil health test kit and soil health card based on a follow-up survey administered 1 year after project completion. Participatory soil health monitoring projects can improve farmers’ ability to monitor and manage soil health, potentially impacting sustained soil and plant health.

Interpretation of autumn soil tests for hazelnut

1996 ◽  
Vol 76 (2) ◽  
pp. 195-202 ◽  
Author(s):  
C. G. Kowalenko
Keyword(s):  
Ammonium Acetate ◽  
Leaf Tissue ◽  
Tree Planting ◽  
Soil Testing ◽  
Survey Study ◽  
Nutrient Concentrations ◽  
Soil Test ◽  
Soil P ◽  
Extractable P ◽  
Fertilizer Recommendations

The suitability of soil-test analyses for fertilizer recommendations for hazelnuts was assessed by detailed examinations of correlations with corresponding leaf-tissue concentrations in an orchard survey study. Correlations were examined only where optimum leaf-tissue nutrient concentrations had previously been established (i.e. N, P, K, S, Mg and Ca). Soil nitrate concentrations tended to increase substantially and relatively consistently in orchards where leaf N concentrations were greater than the optimum range, showing that soil and leaf analyses can be used for fertilizer recommendations for conservation and environmental as well as production considerations. Since most of the trees of the orchards in the study had P that was at or above adequate amounts, only limited conclusions could be made for soil P tests. Data from this survey and other literature showed that hazelnut trees can obtain adequate P from soils that have relatively low Bray-1 extractable P. Ammonium acetate extraction provides a reasonably good estimate of the K and Mg that are available to hazelnuts, and, for both nutrients, K and Mg fertilizer should be recommended for hazelnut (compared with many other crops) when soil-test analyses are relatively high. Ammonium acetate extracted considerable Ca from the soil and the amount extracted was not correlated with the concentration of Ca measured in the leaves. Calcium chloride (which extracts only unadsorbed sulphate) was a relatively poor extractant for available S because of the occurrence of sulphate adsorption in these soils. A surface 15-cm soil sample was adequate for most of the nutrients measured, but supplementation with subsurface analyses would improve nitrate, and possibly subsurface S should be included in the development of a soil test for S Soil testing is necessary to determine whether nutrients are building up in the soil. Also, only soil testing can be used for analysis-based recommendations prior to tree planting. Key words: Hazelnuts, Corylus avellana, filbert, nitrogen, phosphorus, potassium

scholarly journals Key soil parameters affecting the survival of Panax notoginseng under continuous cropping

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wumei Xu ◽  
Fengyun Wu ◽  
Haoji Wang ◽  
Linyan Zhao ◽  
Xue Liu ◽  
...  
Keyword(s):  
Soil Ph ◽  
Pearson Correlation ◽  
Principal Component ◽  
Panax Notoginseng ◽  
Soil Parameters ◽  
Continuous Cropping ◽  
Poor Growth ◽  
Available N ◽  
The Poor ◽  
Replant Problem

AbstractNegative plant-soil feedbacks lead to the poor growth of Panax notoginseng (Sanqi), a well-known herb in Asia and has been used worldwide, under continuous cropping. However, the key soil parameters causing the replant problem are still unclear. Here we conducted a field experiment after 5-year continuous cropping. Sanqi seedlings were cultivated in 7 plots (1.5 m × 2 m), which were randomly assigned along a survival gradient. In total, 13 important soil parameters were measured to understand their relationship with Sanqi’s survival. Pearson correlation analysis showed that 6 soil parameters, including phosphatase, urease, cellulase, bacteria/fungi ratio, available N, and pH, were all correlated with Sanqi’s survival rate (P < 0.05). Principal component analysis (PCA) indicated that they explained 61% of the variances based on the first component, with soil pH being closely correlated with other parameters affecting Sanqi’s survival. The optimum pH for Sanqi growth is about 6.5, but the mean soil pH in the study area is 5.27 (4.86–5.68), therefore it is possible to ameliorate the poor growth of Sanqi by increasing soil pH. This study may also help to reduce the replant problem of other crops under continuous cropping since it is widespread in agricultural production.

scholarly journals Performance Evaluation of Artificial Intelligence on Soil Property Detection

2018 ◽  
Vol 4 (10) ◽  
pp. 5
Author(s):  
Smriti Singhatiya ◽  
Dr. Shivnath Ghosh
Keyword(s):  
Artificial Intelligence ◽  
Precision Agriculture ◽  
Crop Production ◽  
Nutrient Status ◽  
Soil Testing ◽  
Support Vector ◽  
Soil Test ◽  
New Era ◽  
Agriculture Soil ◽  
Historical Role

Now-a-days there is a need to study the nutrient status in lower horizons of the soil. Soil testing has played historical role in evaluating soil fertility maintenance and in sustainable agriculture. Soil testing shall also play its crucial role in precision agriculture. At present there is a need to develop basic inventory as per soil test basis and necessary information has to be built into the system for translating the results of soil test to achieve the crop production goal in new era. To achieve this goal artificial intelligence approach is used for predicting the soil properties.  In this paper for analysing these properties support vector regression (SVR), ensembled regression (ER) and neural network (NN) are used. The performance is evaluated with respect to MSE and RMSE and it is observed that ER outperforms better with respect to SVR and NN.

scholarly journals Online Fertilizer Recommendation System (OFRS): A Step Towards Precision Agriculture And Optimized Fertilizer Usage By Smallholder Farmers In Bangladesh

2020 ◽  
Vol 1 (4) ◽  
Author(s):  
M. A. Hossain ◽  
M. N. A. Siddique
Keyword(s):  
Precision Agriculture ◽  
Recommendation System ◽  
Smallholder Farmers ◽  
Fertilizer Application ◽  
Soil Test ◽  
Total Production ◽  
Soil Database ◽  
Fertilizer Recommendation ◽  
Fertilizer Recommendations ◽  
Input Cost

The recent progression and Green Revolution (approx. between the 1990s-2010s) in agriculture of Bangladesh resulted in an increase of total production despite yield-gap to ensure food security. But agriculture in Bangladesh is still backed-up by higher use of inputs (agrochemicals-fertilizers, pesticides; modern varieties, irrigation etc.) and inversion tillage. This conventional agrochemical-based smallholder agriculture may lead to soil and environmental degradation, soil acidification, and a decline in soil fertility. Therefore, it is significant to optimize input application in intensive agriculture, especially fertilizers. This paper introduces the potential online facilities of generating online fertilizer recommendations for smallholder farmers in Bangladesh to ensure proper usage of fertilizers and enable sustainable agricultural production. We also highlighted how the usage of fertilizers increased with an increase in total production over time. But the sustainability of production in the years to come still remain challenging. With the aim of sustainable crop production, reduction in the misuse of fertilizers and reduction of input cost by optimizing the present pattern of excessive fertilizer application, the Soil Resource Development Institute (SRDI) provides location-specific fertilizer recommendation through both the manual and soil test based interpretation of plant nutrients: soil database in Upzazila Nirdeshika and static laboratory soil analysis. Recently, SRDI developed web-based software named Online Fertilizer Recommendation System (OFRS). The system is capable of generating location-specific fertilizer recommendations for selected crops by analyzing the national soil database developed by this governmental institute. The software requires farmer field location, respective soil and land type, and crop type and variety information to generate crop-specific instant fertilizer recommendation. It was observed that by using fertilizer according to the recommended dose calculated on the basis of soil test values, farmers could harvest approx. 7-22% higher yield of different crops over usual farmers practice. If this system can be popularized and disseminated by effective agricultural extension, this would immensely contribute to the promotion of precision agriculture, input cost reduction and it would certainly enable us to optimize fertilizer application by the smallholder farmers in Bangladesh.

Soil Fertility Assessment of Sainamaina Municipality, Rupandehi, Nepal

2020 ◽  
Vol 7 ◽  
pp. 43-53
Author(s):  
Bishal Gnyawali ◽  
Umesh Kumar Mandal ◽  
Ishwor Aryal
Keyword(s):  
Soil Fertility ◽  
Soil Ph ◽  
Management Practices ◽  
Soil Test ◽  
Fertility Management ◽  
Fertility Index ◽  
Fertility Status ◽  
Sample Data ◽  
The Status ◽  
Soil Fertility Status

Soil fertility assessment is a very fundamental task for farmers and agricultural planners to adopt appropriate fertility management practices, to recommend applying lacking fertilizers, to make fertility-based agricultural plans,s and to produce a large number of crops in their land. This study assesses the soil fertility status of Sainamaina Municipality, ward no. 5-9, Rupandehi district based on soil sample data collected from the field. Soil test based fertility assessment, calculation of overall fertility of area using fertility index, and preparation of soil fertility map is carried out. As soil fertility, the status of total nitrogen (TN), phosphorus (P2 O5), potassium (K), organic matter (OM), and soil pH are measured. As a result, the status of TN, (K2 O), and OM is found low, the status of (P2 O5 ) is found high and soil pH is found in range of very strongly acidic to slightly alkaline.

scholarly journals Features of optimization of model parameters for solving geotechnical problems

2018 ◽  
Vol 251 ◽  
pp. 02035
Author(s):  
Armen Ter-Martirosyan ◽  
Vitalii Sidorov ◽  
Lubov Ermoshina
Keyword(s):  
Laboratory Tests ◽  
Soft Soil ◽  
Degree Of Approximation ◽  
Creep Model ◽  
Soil Parameters ◽  
Model Parameters ◽  
Soil Test ◽  
Compression Tests ◽  
Software Complex ◽  
Input Parameters

At present, numerical methods of calculations, which are implemented in a large number of software complexes, are widely used in geotechnical practice and the definition of input parameters of the ground is very important and necessary to reflect the real work of the foundation of geotechnical structures [1-4]. There are often cases when the results obtained during laboratory tests of soils are not accepted by software complexes, errors are given, recommendations are proposed for changing the parameters in the direction of increasing or decreasing. In connection with these problems, the question arose about the need to optimize soil parameters obtained as a result of laboratory tests to compare and correct these parameters, based on the degree of approximation of model tests with laboratory tests [5]. Optimization of soil parameters can be carried out in the subroutine Soil test, incorporated in the PLAXIS geotechnical software [6]. Using the Soil test, the triaxial and compression tests are simulated based on the input parameters of the soil and the initial test data. The purpose of this study was to describe the methodology for optimizing the parameters of the Hardening Soil model and the Soft Soil Creep model using the PLAXIS 3D software geotechnical complex, as well as a comparative analysis of the results of laboratory soil tests with modeling results in software complex.

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