scholarly journals Design and Construction of Crop Suitability Prediction System Using Fuzzy Logic Classifier Method

2021 ◽  
Vol 21 (3) ◽  
pp. 139-148
Author(s):  
Meli Gustina ◽  
◽  
Irma Salamah ◽  
Lindawati Lindawati ◽  
◽  
...  

The potential of land in Indonesia which is quite large and has not been used optimally is one of the problems. this study focused on developing fuzzy logic models to predict plants that are suitable for planting on agricultural land to enable the land use more optimal. In conducting this study, there were two stages of implementation, namely hardware design, and software design which included system workflow design using the Fuzzy Logic Classifier method where three input variables were used, namely soil pH, soil temperature, and humidity. The findings of this study are in the form of predictions consisting of eight outputs, namely Unfavorable Land, Spinach, Cayenne Pepper, Beans, Long Beans, Cucumber, Eggplant, and Tomatoo. The prediction results generated were directly displayed on the LCD of the instrument that has been designed.

Tunas Agraria ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 1-29
Author(s):  
Mohammad Fajar Hidayat ◽  
Ahmad Nashih Luthfi ◽  
M Nazir Salim

Abstract: Agrarian Reform according to Presidential Regulation Number 86 of 2018 is carried out through two stages, namely the Asset Reform and Access Reform and there is an expansion of the subject and object of the Agrarian Reform. The research was conducted to design an inclusive Agrarian Reform design that combines Program Keluarga Harapan (PKH) and diffable people as subjects and former land use rights in Sempu Village, Ngancar District, Kediri Regency as its object. The research is aimed at (1) knowing the primary need of PKH and diffable people; (2) creating the design of inclusive Agrarian Reform for PKH and diffable people; (3) describing the involvement of stakeholders and community participation in supporting the design; and (4) identifying the existing constraints in the making of the design. The method used was descriptive qualitative using a rationalistic approach. The results showed that PKH and diffable people need to improve the quality of life through economy, education, health, and social welfare. There are 52 plots of land that will be used as designs for land use, namely agricultural and non-agricultural land. This design is expected to be a new idea in the completion of the Agrarian Reform starting from the asset reform through the granting of corporate and individual rights with land redistribution followed by access reform involving stakeholder’s synergy.Keywords: agrarian reform, family of hope, diffable, inclusive Intisari: Reforma Agraria menurut Peraturan Presiden Nomor 86 Tahun 2018 dilaksanakan melalui dua tahapan yaitu penataan aset dan penataan akses serta terdapat perluasan subjek dan objek didalamnya. Penelitian ini dilakukan untuk membuat desain Reforma Agraria inklusif yang menggabungkan Program Keluarga Harapan (PKH) dan kaum difabel sebagai subjek dan tanah negara bekas hak guna usaha di Desa Sempu, Kecamatan Ngancar, Kabupaten Kediri sebagai objeknya. Penelitian ini bertujuan untuk: (1) mengetahui kebutuhan utama PKH dan difabel; (2) membuat desain Reforma Agraria inklusif untuk PKH dan difabel; (3) menggambarkan keterlibatan stakeholder sekaligus partisipasi masyarakat dalam mendukung desain ini; serta (4) mengidentifikasi kendala apa yang akan terjadi di dalamnya. Metode yang digunakan dalam penelitian ini adalah metode penelitian kualitatif dengan pendekatan rasionalistik. Hasil penelitian menunjukkan bahwa PKH dan difabel membutuhkan peningkatan kualitas hidup melalui ekonomi, pendidikan, kesehatan, dan kesejahteraan sosial. Terdapat 52 bidang tanah yang dijadikan desain penggunaan tanahnya yaitu pertanian dan nonpertanian. Desain ini diharapkan menjadi gagasan baru dalam penyelesaian Reforma Agraria mulai dari penataan aset melalui pemberian hak milik bersama dan perorangan dengan redistribusi tanah dilanjutkan dengan penataan akses yang melibatkan sinergi stakeholder.Kata kunci: reforma agraria, PKH, difabel, inklusif


Author(s):  
Vinod Tamburi ◽  
Amba Shetty ◽  
S. Shrihari

Different methods of land use and management have a significant effect on soil properties distribution. Understanding of variations in soil nutrients in agricultural land use is important. An increase in extraction of nutrients, soil degradation, and management of nutrients is leading to a decline in quality of vertisols across the Deccan plateau of India. Though there are studies on spatial variability of vertisols macronutrients, studies on available calcium (Ca) and available magnesium (Mg) are rare. This study is conducted in Gulbarga taluk, north Karnataka, India, to evaluate the variability of soil pH, Ca, Mg, and Zinc (Zn). A total of 78 samples of soils are collected at 0 to 15 cm depth based on the accessibility and distribution of field patterns. Four subsamples represent a single composite sample. Agilent 4200 MP-AES (Microwave Plasma-Atomic. Emission Spectrometer) was used for determining the concentration of soil nutrients. The soil nutrients represent wide variation in coefficient of variation (CV) with a value of 6 % (for pH) to 70.9 % (for Zn). The soil pH showed a significantly positive correlation to Ca and a negative correlation to Mg. Geostatistical investigation indicates spherical model is the best fit for all nutrients. Except for Ca, all nutrients showed moderate spatial dependence. Ordinary kriging is used to generate spatial variability maps. The maps of spatial variability are highly variable in nutrients content and indicate that site-specific management needs to be taken by local authorities and improve the livelihood of marginal farmers and also for sustainable agriculture.


1997 ◽  
Vol 8 ◽  
pp. 135-150 ◽  
Author(s):  
MA Cassel-Gintz ◽  
MKB Lüdeke ◽  
G Petschel-Held ◽  
F Reusswig ◽  
M Plöchl ◽  
...  

2009 ◽  
Vol 4 (No. 3) ◽  
pp. 122-125 ◽  
Author(s):  
V. Vranová ◽  
P. Formánek ◽  
K. Rejšek ◽  
M. Pavelka

Casein-protease activity assessed at 50°C and with adjustment of optimum pH conditions (PA), and casein-protease activity near soil pH and at field soil temperature (LPA) were studied one vegetation period in mountain meadow soils covered with moderately mown vegetation, and over which vegetation had been abandoned for thirteen years. PA peaked in the first part of the vegetation season whereas LPA increased throughout the season; in addition, LPA was not linearly related to temperature (r = 0.127 resp. 0.312; P > 0.05). The combined effect of field soil temperature and pH decreased a casein-protease activity by > 98.4%. A management of meadows had no significant (P > 0.05) effect on PA and LPA.


2019 ◽  
Vol 8 (3) ◽  
pp. 147 ◽  
Author(s):  
Tung Gia Pham ◽  
Martin Kappas ◽  
Chuong Van Huynh ◽  
Linh Hoang Khanh Nguyen

Soil property maps are essential resources for agricultural land use. However, soil properties mapping is costly and time-consuming, especially in the regions with complicated topographic conditions. This study was conducted in a hilly region of Central Vietnam with the following objectives: (i) to evaluate the best environmental variables to estimate soil organic carbon (SOC), total nitrogen (TN), and soil reaction (pH) with a regression kriging (RK) model, and (ii) to compare the accuracy of the ordinary kriging (OK) and RK methods. SOC, TN, and soil pH data were measured at 155 locations within the research area with a sampling grid of 2 km × 2 km for a soil layer from 0 to 30 cm depth. From these samples, 117 were used for interpolation, and the 38 randomly remaining samples were used for evaluating accuracy. The chosen environmental variables are land use type (LUT), topographic wetness index (TWI), and transformed soil adjusted vegetation index (TSAVI). The results indicate that the LUT variable is more effective than TWI and TSAVI for determining TN and pH when using the RK method, with a variance of 7.00% and 18.40%, respectively. In contrast, a combination of the LUT and TWI variables is the best for SOC mapping with the RK method, with a variance of 14.98%. The OK method seemed more accurate than the RK method for SOC mapping by 3.33% and for TN mapping by 10% but the RK method was found more precise than the OK method for soil pH mapping by 1.81%. Further selection of auxiliary variables and higher sampling density should be considered to improve the accuracy of the RK method.


2013 ◽  
pp. 79-94
Author(s):  
Ngoc Luu Bich

Climate change (CC) and its impacts on the socio-economy and the development of communities has become an issue causing very special concern. The rise in global temperatures, in sea levels, extreme weather phenomena, and salinization have occurred more and more and have directly influenced the livelihoods of rural households in the Red River Delta – one of the two regions projected to suffer strongly from climate change in Vietnam. For farming households in this region, the major and traditional livelihoods are based on main production materials as agricultural land, or aquacultural water surface Changes in the land use of rural households in the Red River Delta during recent times was influenced strongly by the Renovation policy in agriculture as well as the process of industrialization and modernization in the country. Climate change over the past 5 years (2005-2011) has started influencing household land use with the concrete manifestations being the reduction of the area cultivated and the changing of the purpose of land use.


2014 ◽  
Vol 59 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Norbert Skoczylas

Abstract The Author endeavored to consult some of the Polish experts who deal with assessing and preventing outburst hazards as to their knowledge and experience. On the basis of this knowledge, an expert system, based on fuzzy logic, was created. The system allows automatic assessment of outburst hazard. The work was completed in two stages. The first stage involved researching relevant sources and rules concerning outburst hazard, and, subsequently, determining a number of parameters measured or observed in the mining industry that are potentially connected with the outburst phenomenon and can be useful when estimating outburst hazard. Then, the Author contacted selected experts who are actively involved in preventing outburst hazard, both in the industry and science field. The experts were anonymously surveyed, which made it possible to select the parameters which are the most essential in assessing outburst hazard. The second stage involved gaining knowledge from the experts by means of a questionnaire-interview. Subjective opinions on estimating outburst hazard on the basis of the parameters selected during the first stage were then systematized using the structures typical of the expert system based on fuzzy logic.


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