Effective use of Big Data Analytics in Crop planning to increase Agriculture Production in India

Kumar, Jitendra; Kumar, B. Kishor; Sekhar, Ch. Chandra

doi:10.14257/ijast.2018.113.04

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…They transformed the agriculture in developing countries. For example, the big data analysis helped increase agricultural production (Chandra Sekhar et al, 2018) and the online platforms have changed the consumers' habits (Wang et al, 2019).…”

Section: Short Food Supply Chainsmentioning

confidence: 99%

Enhancing consumer trust in short food supply chains

Chen

Zhuo

2020

JADEE

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Purpose The purpose of this paper is to explore how consumers’ trust is enhanced by e-commerce-based agribusiness companies. It also aims to shed light on the role of social commerce in improving consumers’ trust. Design/methodology/approach To achieve the research purpose, an in-depth multiple case study is performed. In this study, three cases in short food supply chain (SFSC) in China are selected, and they are all e-commerce agribusiness companies. They adopted common ways to build up, maintain and reinforce consumers’ trust. Findings It is revealed that the companies innovatively adopted social commerce, both online and offline, to overcome the trust problems usually faced by e-commerce companies. It is also shown that offline contact with potential consumers is an important first step for agribusiness e-commerce entrepreneurs to build up trust with consumers. Research limitations/implications By adopting a multiple case study method, the research has limited generalizability to other types of SFSCs. Since the findings are from Chinese agribusiness e-commerce companies, the generalization to other sectors must be done with caution. Practical implications Some managerial implications are given as follows: first, offline contact with consumers could be realized through different channels. Taking advantage of existing social network or trying to find consumers in urban communities might be effective ways. Second, trust building with consumers is not an easy task, managers need to emphasize trust building, trust maintaining, as well as trust reinforcing with consumers. In agri-food sector, managers might need to specifically address the importance of food safety and quality so as to not lose consumer trust in one night. Originality/value The study has mainly two contributions: first, it has managerial implications for agribusiness e-commerce entrepreneurs, addressing the important role of social presence in building up consumer trust. Second, it contributes to social presence and social relations literature by providing new empirical evidence from e-commerce in agri-food sector and in developing countries.

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Section: Short Food Supply Chainsmentioning

confidence: 99%

Enhancing consumer trust in short food supply chains

Chen

Zhuo

2020

JADEE

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“…Application of big data analytics certainly helps in overcoming the hurdles in food supply chain by integrating with Application Programming Interface (API) system. Big data analytics can certainly add value to the agricultural practice in many regards such as bringing the returns from scientific investments, establishing the good agricultural practice, implementation of precision agricultural based techniques at field level, efficient food supply chain mechanism and automation of the total process for the profitable agriculture [18,19].…”

Section: Supply Chain Strategiesmentioning

confidence: 99%

Technology in Indian agriculture - a review

Upendra

Umesh²,

Varma³

et al. 2020

IJEECS

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Optimization of agricultural practices for enhanced crop yield is considered to be essential phenomena for the countries like India. In order to strengthen the economy and also to meet the food demand for the exponentially growing population, optimizing the agricultural practices has become necessity. In India, weather and geographical conditions are highly variable and were thought to be the major bottleneck of agricultural practices to achieve improved crop yield. Agricultural practices in India are facing many challenges such as change in climatic conditions, different geographical environment, conventional agricultural practices; economic and political scenario. Economic loss due to the lack of information on crop yield productivity is another major concern in the country. These hurdles can be overcome by the implementation of advanced technology in agriculture. Some of the trends observed are smart farming, digital agriculture and Big Data Analytics which provide useful information regarding various crop yields influencing factors and predicting the accurate amounts of crop yield. The exact prediction of crop yield helps formers to develop a suitable cultivation plan, crop health monitoring system, management of crop yield efficiently and also to establish the business strategy in order to decrease economic losses. This also makes the agricultural practices as one of the highly profitable venture. This paper presents insights on the various applications of technology advancements in agriculture such as Digital Agriculture, Smart Farming or Internet of Agriculture Technology (IoAT), Precision Agriculture, Crop Management, Weed and Pest control, Crop protection and Big data analytics.

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