scholarly journals Indigenous Technical Knowledge based Rainfall Prediction: A Review

2022 ◽  
Author(s):  
A. Bheemappa ◽  
S.M. Shruthi ◽  
K.D. Maheshwari ◽  
Nagaratna Biradar
Keyword(s):  
Ad Hoc ◽  
Technical Knowledge ◽  
Biotic Factors ◽  
Rainfall Forecasting ◽  
Rainfall Prediction ◽  
Knowledge Based ◽  
Indigenous Technical Knowledge ◽  
Abiotic And Biotic Factors ◽  
Modern Technologies

Indigenous technical knowledge (ITK) is the actual knowledge of a given population that reflects the experiences based on tradition and includes more recent experiences with modern technologies. Traditionally, farmers have used traditional knowledge to understand weather and climate patterns in order to make decisions about crop and irrigation cycles. This knowledge has been gained through many decades of experience and has been passed on from previous generations. The present study was undertaken with the objective of collection and documenting the indigenous technical knowledge of farmers regarding rainfall prediction based on abiotic and biotic factors which is being practiced generation after generation. Here in this paper an effort has been made to collect the abiotic and biotic factors predicting rainfall, as a part of ICAR sponsored NASF ad-hoc research project entitled “Developing climate resilient adaptive strategies for empowerment of farmers” which has been implemented in University of Agricultural Sciences, Dharwad from 2019 to 2022. Various indigenous technical knowledge are collected by analyzing the journals and newsletters, deep interaction with the farmers of study area, contacting the local resource persons and documenting oral histories without scientific validation. The study found that traditional methods of rainfall forecasting can be utilized for the purpose of short-term and long-term seasonal rainfall predictions by local communities. All available abiotic and biotic indigenous rainfall forecasting techniques may serve as alternative to modern technologies.

Indigenous technical knowledge based sustainable production of horticulture enterprise in North Lakhimpur district of Assam

2020 ◽  
Vol 5 (02) ◽  
pp. 208-212
Author(s):  
Shubham Singh ◽  
Sanjay Swami ◽  
G. N. Gujjar
Keyword(s):  
Sustainable Development ◽  
Knowledge Base ◽  
Indigenous Knowledge ◽  
Management Practices ◽  
Eastern Region ◽  
Technical Knowledge ◽  
Knowledge Based ◽  
The North ◽  
North Eastern ◽  
Indigenous Technical Knowledge

Integrated crop management strategy is inadequate without involvement of indigenous knowledge. Indigenous Technical Knowledge based on local knowledge of environment, natural resources and peoples' experience accumulated over many years. Further, the traditional technologies are eco-friendly because of being free from use of chemicals. North Eastern states are the sleeping giants and considered as store house of indigenous knowledge base due to presence of many different tribes which may be helpful in utilizing their practices for sustainable development of the rural areas without hampering the ecological pursuits of the region. The horticulture is one of the important enterprises of the north eastern hill region people and their management practices are ancient, indigenous and traditional in nature. Therefore, it is important to explore the indigenous knowledge base associated with the horticultural enterprise in the north eastern region for sustainable development. Keeping the above consideration in view, the present study is conducted to document the utilization of Indigenous knowledge system by farmers in the production of horticultural enterprise in North Lakhimpur district of Assam. The participatory methodology was followed to construct and conduct the whole research study. The key informant methods and focus group discussion methods were followed to collect the information.

From Freezing to Investing: New Approaches to Monetary and Currency Policies

2008 ◽  
pp. 47-55
Author(s):  
A. Nekipelov ◽  
Yu. Goland
Keyword(s):  
Economic Policy ◽  
Property Rights ◽  
Main Idea ◽  
State Intervention ◽  
Economic Thought ◽  
Human Potential ◽  
Knowledge Based ◽  
Russian Economy ◽  
Knowledge Based Economy

The appeals to minimize state intervention in the Russian economy are counterproductive. However the excessive involvement of the state is fraught with the threat of building nomenclature capitalism. That is the main idea of the series of articles by prominent representatives of Russian economic thought who formulate their position on key elements of the long-term strategy of Russia’s development. The articles deal with such important issues as Russia’s economic policy, transition to knowledge-based economy, basic directions of monetary and structural policies, strengthening of property rights, development of human potential, foreign economic priorities of our state.

Effects of abiotic and biotic factors on Vibrio harveyi ATCC 14126T survival dynamics in seawater microcosms

2019 ◽  
Vol 83 (2) ◽  
pp. 109-118 ◽  
Author(s):  
M Orruño ◽  
C Parada ◽  
E Ogayar ◽  
VR Kaberdin ◽  
I Arana
Keyword(s):  
Vibrio Harveyi ◽  
Biotic Factors ◽  
Abiotic And Biotic Factors

Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

2018 ◽  
Vol 6 (6) ◽  
pp. 119
Author(s):  
Mohammad Shohidul Islam ◽  
Sultana Easmin Siddika ◽  
S M Injamamul Haque Masum
Keyword(s):  
Linear Regression ◽  
Correlation Coefficients ◽  
Rain Gauge ◽  
Regression Method ◽  
Linear Regression Method ◽  
Climate Data ◽  
Rainfall Forecasting ◽  
Statistical Parameters ◽  
Time Duration ◽  
Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

EXPERIENCE IN THE IMPLEMENTATION OF CONTINUOUS INTEGRATED TRAINING SYSTEM FOR SPECIALISTS OF MEDICO-PREVENTIVE BUSINESS IN THE SVERDLOVSK REGION

2018 ◽  
pp. 5-10
Author(s):  
O.P. Kovtun ◽  
S.V. Kuzmin ◽  
O.V. Dikonskaya ◽  
B.I. Nikonov ◽  
V.B. Gurvich ◽  
...  
Keyword(s):  
Graduate Training ◽  
Training System ◽  
The State ◽  
Post Graduate ◽  
Post Graduate Training ◽  
Medical University ◽  
Long Term Experience ◽  
Modern Technologies

The paper presents long-term experience of interaction between practitioners of the State Sanitary and Epidemiological Service (until 2005) and Rospotrebnadzor (since 2005), the institutions of science for Rospotrebnadzor, Ural State Medical University in preparing graduates of a medical-preventive profile, starting from pre-university work with schoolchildren to the introduction of modern technologies of practice-oriented training of students, specialists post-graduate training of the State Sanitary and Epidemiological Service and Rospotrebnadzor.

scholarly journals Effects of Dysbiosis and Dietary Manipulation on the Digestive Microbiota of a Detritivorous Arthropod

2021 ◽  
Vol 9 (1) ◽  
pp. 148
Author(s):  
Marius Bredon ◽  
Elisabeth Depuydt ◽  
Lucas Brisson ◽  
Laurent Moulin ◽  
Ciriac Charles ◽  
...  
Keyword(s):  
Crucial Role ◽  
Structure And Function ◽  
Ecological Interactions ◽  
Dietary Manipulation ◽  
Biotic Factors ◽  
Abiotic And Biotic Factors ◽  
And Function ◽  
Multicellular Organisms ◽  
Over Time

The crucial role of microbes in the evolution, development, health, and ecological interactions of multicellular organisms is now widely recognized in the holobiont concept. However, the structure and stability of microbiota are highly dependent on abiotic and biotic factors, especially in the gut, which can be colonized by transient bacteria depending on the host’s diet. We studied these impacts by manipulating the digestive microbiota of the detritivore Armadillidium vulgare and analyzing the consequences on its structure and function. Hosts were exposed to initial starvation and then were fed diets that varied the different components of lignocellulose. A total of 72 digestive microbiota were analyzed according to the type of the diet (standard or enriched in cellulose, lignin, or hemicellulose) and the period following dysbiosis. The results showed that microbiota from the hepatopancreas were very stable and resilient, while the most diverse and labile over time were found in the hindgut. Dysbiosis and selective diets may have affected the host fitness by altering the structure of the microbiota and its predicted functions. Overall, these modifications can therefore have effects not only on the holobiont, but also on the “eco-holobiont” conceptualization of macroorganisms.

scholarly journals Experts versus Algorithms? Optimized Fuzzy Logic Energy Management of Autonomous PV Hybrid Systems with Battery and H2 Storage

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1777
Author(s):  
Lisa Gerlach ◽  
Thilo Bocklisch
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Fuzzy Logic Controller ◽  
Expert Knowledge ◽  
Large Power ◽  
Hybrid Energy ◽  
Knowledge Based ◽  
Long Term Storage ◽  
Fuzzy Logic Approach

Off-grid applications based on intermittent solar power benefit greatly from hybrid energy storage systems consisting of a battery short-term and a hydrogen long-term storage path. An intelligent energy management is required to balance short-, intermediate- and long-term fluctuations in electricity demand and supply, while maximizing system efficiency and minimizing component stress. An energy management was developed that combines the benefits of an expert-knowledge based fuzzy logic approach with a metaheuristic particle swarm optimization. Unlike in most existing work, interpretability of the optimized fuzzy logic controller is maintained, allowing the expert to evaluate and adjust it if deemed necessary. The energy management was tested with 65 1-year household load datasets. It was shown that the expert tuned controller is more robust to changes in load pattern then the optimized controller. However, simple readjustments restore robustness, while largely retaining the benefits achieved through optimization. Nevertheless, it was demonstrated that there is no one-size-fits-all tuning. Especially, large power peaks on the demand-side require overly conservative tunings. This is not desirable in situations where such peaks can be avoided through other means.

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