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C ompetitive intelligence is a critical component of developing and implementing organizational strategies. Although firms may obtain aggregate market-level competitive information, resource allocation decisions such as inventory management or capacity planning are made at the individual product-firm-market level. Acquiring such disaggregated information about competitors across various products and markets poses significant challenges, including integrating data from different (and conflicting) information sources and updating the same continuously to reflect the changes in the market environment. To address such issues, we build on the literature on goal programming and frame the problem of generating competitive intelligence at the product-market level as a matrix-balancing problem, where products, firms, and markets represent the dimensions of the market-sensing matrix. We develop a decision support system for firms to generate and update the market-sensing matrix over time using weighted integer goal programming. Utilizing data from multiple sources (internal firm data, commercial market data, and secondary data), we create a set of linear restrictions and use goal programming approach to update the market-sensing matrix. We demonstrate-(i) the proposed approach using data from a large multimedia firm that offers multiple products in various markets with many competitors, and (ii) benefits of implementing our approach. We find that timely recovery of disaggregated information at product-firm-market level assists the firm in superior resource allocation.

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Farming or Agriculture is the science and art of cultivating plants. It is the vital enrichment in the growth of human living. It creates food and the other related things by farming with domestic animals and will enable people to live long and healthy life. There are two agricultural categories, one is traditional Agriculture and the second one is Modern Agriculture. In Traditional Agriculture Farmers had faced many difficulties to Farm, but with the modern Agriculture Farmers can be able to see many improvements in Framing due to the agronomy, use of agricultural chemicals such as pesticides and fertilizers, Plant breeding and technological growth, these enrichments in Farming would yield good crop.(IoT)Internet of Things very often called as a system it can able to connect real physical Things, Implanted sensors, Embedded software’s along with different technologies to connect and to transfer data amongst various diverse devices over the Internet. It is the hopeful expertise or technology which gives accurate and most reliable solutions on the way to too many domains. There is an extensive set of wide range of real time applications of IoT devices such as Industrial, Consumer, Commercial, Infrastructure may made IoT is the one of the best Technology to see enhancements in many domains. Solutions which are given by IoT would reduce human efforts in Farming and may provide sound of crop. In this paper a small survey will be presented to see how Internet of Things and its equivalent or other represent technologies AI, Cloud Computing would be useful to provide SMART AGRICULTURE along with Modern agricultural improvements will also be presented.