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Not AvailableGeographical Information System (GIS) has long been valued for enhancing communication and collaboration in decision-making, effectively managing resources and assets, enhancing the efficiency of workflows, and improving the accessibility of information. Research farm management in agricultural experimental stations requires effective use of geographical information of farm layout, field boundaries, and location of buildings, roads, irrigation channels, wells and electric lines together with information facilities like farm machinery, livestock and the planned crop field experiments. The field experiment data include details of crop and variety information, field preparation and input applications. Record keeping about all such information is laborious, time consuming and cumbersome process. It also becomes difficult to keep those records over time, when evaluating the effectiveness of changes in management plans. Advances in information technology allow agricultural experimental farms to acquire large amounts of farm data more efficiently. Geospatial technologies enhance the efficacy incorporating traditional IT information management tools for farm management. This study presents the design and application of a web based Spatial Decision Support System (SDSS) for experimental farm management using open source GIS. Further, a GIS based decision support system (DSS) for Supply Chain Management in Dairy Sector is developed through various analyses viz., demographic analysis, competitor analysisNot Availabl

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Not AvailableThe main aim of the study is to develop a knowledge management portal for the agricultural biodiversity of Andhra Pradesh and Telangana.These states are the central region of the Indian subcontinent has some representatives of the biological wealth of India. Its varied topography from the hilly ranges of the Eastern Ghats, the Nallamalais to the shores of Bay of Bengal, support varied vegetation types enriched by a variety of flora and fauna. AP and Telangana is a virtual bio reserve, which is unique both in terms of biodiversity and abundance. A constant refrain heard in Andhra Pradesh is that the state is the Annapurna, the Rice Bowl of the South. What is never said is that apart from the crop species called rice, Andhra Pradesh and Telanganaare home to at least eight species of millets, 12 species of pulses, six species of oilseeds each one of them sporting dozens of varieties. Besides these, the states grows dozens of species of spices, and hundreds of species of vegetables. In this study the Primary and secondary data collected from Farmers, Department of Agriculture, AP, ANGRAU, NBPGR Reports, NBA Reports, ICAR Institute report, AICRP Reports and other published data. It contains description and basic set of information related to agro biodiversity resources related information like such as plant species, common name, scientific name, habitat, distributions, flowering time, seed traits, and economic importance of crops in Andhra Pradeshand Telangana periodicals and governmental websites. The Portal was developed using Drupal and MYSQL, which provides information resources on Agro biodiversity of AP and TS like Cereal crops, fruits, vegetables, spices, medicinal plants etc. It is concluded that, the Portal is user friendly and browser compatible to Mobiles, tablets, iPad ete. and also it provides all the information about Agro Biodiversity of the AP and TS states which will be resource base for the end user viz. researcher, academician and policymakers.Not Availabl

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Not AvailableResearch farm management in agricultural experimental stations requires effective use of geographical information on farm layout, field boundaries, location of buildings, roads, irrigation channels, wells and electric lines, together with information facilities like farm machinery, livestock, etc. and the planned crop field experiments. The field experiment data will include details of crop and variety information, field preparation and input applications. Record-keeping of such information is laborious, time-consuming and cumbersome process. It also becomes difficult to maintain these records over time, when evaluating the effectiveness of changes in management plans. Advances in information technology allow agricultural experimental farms to acquire large amount of farm data more efficiently. Geospatial technologies can enhance the efficacy incorporating traditional IT information management tools for farm management. This study presents the design and application of a web-based spatial decision support system (SDSS) for experimental farm management using open-source GIS. This prototype SDSS allows farm managers, researchers and students to explore and access land-use options, fertilizer and pesticide applications, and track and visualize historical data of weather, input use, pest infestation and yield by field plots for better farm management.Not Availabl

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Not AvailableIndia is the second biggest Populated country with 1.27 billion people and third largest Economy after America and China. India produces larger amount of spices, fishes, poultry, livestock and plantation crops. In India among the entire rural areas 70% of the population prefers agriculture as their primary occupation. Agriculture contributes about 17-18% to India's GDP. There is huge potential for artificial intelligence and machine learning to revolutionize agriculture by integrating these technologies into critical markets on a global scale. The Latest IT technologies involves the incorporation of information and communication technologies into machinery, equipment, and sensors for used to improve the agricultural production systems. Therefore, the aim of this policy brief is to characterize the Indian scientific knowledge about AI and IoT available in the worldwide scientific literature thus assessing the current status and suggest policy strategies. Indian farming system and agricultural industry relies on innovative ideas and technological advancements to help increase yields and better allocate resources with advanced computing tools. This policy paper offers a look at key considerations regarding AI, including a set of guiding principles and recommendations to help scientific communities of National Agricultural Research and Education System (NARES)Not Availabl

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Not AvailableIn the current global scenario, research project management plays an influential role in Research and Development. Therefore, in the year 2004, ICAR- NAARM designed and implemented Developing Winning Research Proposals (DWRP) capacity building program. The main purpose was to enhance the skills of agricultural scientists in the area of project proposal writing and further implementation, and to enrich the quality of research outputs and outcomes from the National Agricultural Research System (NARS). Since inception of the programme around 3300 scientists have been trained through 72 capacity building programmes, which include 34 in-house and off campus training programmes, the rest were project workshops and short term modules. After significant number of capacity building programmes, it was thought to analyse the impact of DWRP, therefore a questionnaire survey was done by sending email questionnaire to more than 700 training participants, besides other instruments of the impact study were also used. Afterwards, the present book entitled “Developing Winning Research Proposals: Status and Impacts of an Innovative Training Initiative” has been prepared with the purpose of multiplier effect of this initiative. The analysed data reveals that, after implementation of this programme, the trained scientists also upgraded themselves on research project prioritization, conceptual planning, clarifying research objectives, innovative outcomes and logical thinking. For further learning support to trainees, in 2017, the theoretical concept of research project prioritization, conceptual planning, logical frame approach methodologies were transformed into innovative online software applications. The results of learning teaching model through online software were highly satisfying in terms of group working and individual learning. The operational aspects about software packages are briefly presented in the chapters. The book contains four chapters and seven annexures. The chapters provide the brief description of training program and short modules on DWRP and software packages enriching the quality training. The last chapter deals with survey methodology, evaluation and impacts analysis. The seven annexures contain additional and complimentary data. The Authors acknowledge the help and cooperation received from resource persons of the DWRP trainings, workshops and modules, the faculty and staff of NAARM, and also the coordinators and staff from those organizations, wherever the off campus programmes are conducted. We hope that the book will be instrumental in creating awareness among the large number of scientists about strategic thinking in writing the research proposals.Not Availabl

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Not AvailableMany Information Technology (IT) tools play a vital role in the business world due to their wider applicability. Extremely competitive retail environment necessitates retailers to choose new store locations strategically. GIS with its capability to manage, display and analyze business information spatially, is emerging as one of the powerful location intelligence IT tool. The purpose of this paper is to explore the possibility of strategic retail outlet location through online Decision Support System (DSS) in Hyderabad Metropolitan city, India. The procedure makes use of data, information and software from Web-based Geographical Information Systems (GIS) to generate online analysis, mapping and visualization systems. These procedures are integrated and synchronized with appropriate data layers (multi data layer system) to arrive at better decisions. This DSS combines different data layers through spatial methodological analysis to arrive at possible solution for ideal retail store locationNot Availabl

A Methodological Framework for Agricultural Research Organizations

Not AvailableWhy and how do some research institutions perform extraordinarily better and produce path-breaking innovations while others do not ? Are there any key drivers or characteristics that clearly mark out these exemplary centres of excellence ? Why does research productivity differ significantly across institutions ? What are the bottlenecks responsible for the below-average performance by some institutions ? What can research managers do, within the given resources, to create an enabling environment for scientists to produce outstanding and useful research outputs ? These questions are often asked by policymakers, funding agencies and the larger public as the public-funded R&D institutions in developing economies are subjected to greater scrutiny and accountability. Search for answers to such questions are also borne out of the genuine desire to strengthen research institutions and make them the paragons of science.Not Availabl

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Not Available... an ICT initiative to digitize and manage an ecologically sensitive resource due to climate change M. BALAKRISHNAN*1, GRINSON-GEORGE2, P. KRISHNAN2, M. KALIYAMOORTHY2, TITUS-IMMANUEL2 and SK SOAM3 1Bioinformatics Unit 2Division of Fisheries Science ... \nNot Availabl