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Digital Agribusiness Models” Int.J.Curr.Microbiol.App.Sci (2020) 9(8): 3030-3038 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 8 (2020) Journal homepage: http://www.ijcmas.com Review Article https://doi.org/10.20546/ijcmas.2020.908.342 Innovations in Agriculture – A Case of “Digital Agribusiness Models” C. Muralidharan* Department of Social Sciences, Agricultural College and Research Insititute, Killikulam, Vallanad, Tuticorin District, India *Corresponding author ABSTRACT World population will increase at geometric rate of progression and an estimated 9.6 billion people and will require 70 percent more food than is available today. In order to increase the production efficiency, expertise in the domain of agriculture opined and K e yw or ds developed different agribusiness models to address the above aspects. In order to conduct this research, case study method was adopted to collect the necessary data and information Digital agriculture, from the entrepreneurs performing successful ventures in digital mode of agribusiness by Startups , Artificial adopting purposive sampling method. Secondary data pertaining to different countries Intelligence and were collected from the websites of digital agribusiness of their respective country. Digital Internet of Things agripreneurs enrolled in the Agribusiness incubation society were contacted personally to (IoT) collect the required data. M/s Kisangates Agro Informatics is an innovative startup with a motive to revolutionize business processes in agricultural ecosystem through strategic Article Info models and digital transformations that are synergistic with environment and business needs. Further, M/s Jeypee Biotechs, Virudhunagar developed the digital and ICT enabled Accepted: field advisory system model and executes networking among farmers on a common 24 July 2020 platform for dry chillies cultivation for export purposes. Through his intervention, farmers Availabl e Online: 10 August 2020 are realizing 20 per cent extra income. A paradigm shift is taking place to transform the traditional farming system to digital mode in order to reduces the cost, minimize wastages and thus leads to realize better price in the market. To conclude this study and based on the discussion with entrepreneurs and expertise in the domain of digital agritech companies, following strategies are suggested for a better agribusiness value chain. Introduction population will increase at geometric rate of progression and an estimated 9.6 billion Agriculture sector contributes significant people and will require 70 percent more food share in the economic development and than is available today. In order to increase sustainability of developing countries in the the production efficiency, expertise in the world. Majority of the population in India domain of agriculture opined and developed depends on agriculture as their major different agribusiness models to address the profession and source of income. Research above aspects. Among the different models reports revealed that in the year 2050, world's developed, intervention of “Digital 3030 Int.J.Curr.Microbiol.App.Sci (2020) 9(8): 3030-3038 Agribusiness” Model through Artificial management and proper plant protection to Intelligence (AI) and Internet of Things (IoT) enhance the production efficiency. could be the game changer and increases the production and marketing efficiency. “Digital In case of information technology domain, Agribusiness” is nothing but an alliance of Expert Support System (ESS), Decision data driven advances in AI and the IoT to help Support System (DSS), Management and influence the agricultural organizations Information systems (MIS), Enterprise and use data to drive efficiency in both Resource Planning (ERP) and Internet of forward and backward linkages and reduce Things (IOT)) serves as a platform and cost. It is easy to use, environment friendly, provides solutions for different agricultural saves agro chemical, time and energy. It not operations in a smart way. Developed only focuses business opportunities but also countries are adopting various digital caters to the needs of farmers and creates agribusiness strategies viz., smart agriculture business opportunities to startups in the 4.0, IoT, AI and machine learning for domain of agriculture. In this paper, case enhancing their farm production and studies of different digital platform models in marketing efficiency (Table 1). Further, the domain of Agriculture in Asia were forecast from the International organizations analyzed and presented. revealed that digital technologies will transform and increase productivity of food Need for digital agriculture and agriculture over the next decade (Nikola M. et al., 2019). Different components of the Majority of farmers adopted conventional digitization in agri food sector are precision method of agricultural practices in India. It is agriculture and remote sensing technologies evident that the sales of tractors in India are (IoT, GNSS, RTK, VRT, PLF, UAV and increasing over the years. However, the usage satellite imagery), Big Data, cloud, analytics of digitalization as platform for promoting and Cyber security integration and agribusiness among agriculturists is coordination (block chain, ERP, financing and minimum. There exists a vacuum and huge insurance systems), Intelligent systems (Deep gap in adopting the digital usage of Learning, Machine Learning and Artificial agriculture by agriculturists and farmers. In Intelligence and robotics and autonomous order to bridge the gap, Government of India systems), Mobile devices and social media. It (GOI) had launched “Digital India” scheme to is in support with the report of Daniel promote digitization to enhance the efficiency Newman (2019) explored that Google is and performance of public and private sectors. working in AI with respect to image Further, NITI Aayog has started a pilot recognition of 5000 species of plants and project on precision agriculture by using animals and recognizes pests, diseases and Artificial Intelligence (AI) in ten districts extent of crop damages. across seven states in India. State government of Telangana, Tamil Nadu and Maharashtra Advantages of the digitization are Increase have launched an agri open data portal to farming efficiency and productivity, establish promote digital technology as an important the sustainable agriculture value chains, tool in agriculture. Hence, it was suggested to address the market and price volatility, adopt digitization in agricultural practices viz., implement novel and sustainable agri business Good Agricultural Practices (GAP), farm models, engage with the different mechanization, methods of irrigation, stakeholders in agribusiness networks, management practices, good nutrient practicing smart and precision agriculture. 3031 Int.J.Curr.Microbiol.App.Sci (2020) 9(8): 3030-3038 A recent global health crisis (i.e) pandemic Ninja Cart, Waycool, Intello Labs, Farm disease “COVID-19” created lot of challenges Links, Gramco Infratech and Tessol are in health care and agriculture sector. dealing with digital agribusiness. Out of Researchers predicted that the possibility of these, a case study on M/s Kisangates Agro food shortage crisis may arise in near future Informatics was done and the results are (FAO, 2020). The usage of IoT tools and presented as follows. robotics can reduce the virus spread among human and improves the sanitization of the M/s Kisangates Agro Informatics is an eco system. Hence, there is an urgent need to innovative startup with a motive to adopt “Digital Agribusiness” to enhance the revolutionize business processes in efficiency of agriculture value chain. Thus, it agricultural ecosystem through strategic will bridge the gap and will be a game models and digital transformations that are changer for providing the solution of food synergistic with environment and business shortage. In this paper, different models of needs. It was started in the year 2014. This digital platform in the domain of Agribusiness company provides solution and solves need in Asia are discussed. based problems faced by different clients in the domain of agriculture. The following Methodology figure 1 depicts the journey of the company and its achievements. A suitable formulation of research methodology is important to facilitate the In order to achieve the excellence in the systematic research study. The case study domain of agribusiness, the company adopts method of research was adopted to collect the Farm Decision Support System (FDSS) model necessary data and information from the and its digital transformation components are entrepreneurs performing successful ventures digitizing field records, digitizing process, in digital mode of agribusiness by adopting data analytics and decision system. It focuses purposive sampling method. Secondary data on commercial agro sector viz., seed pertaining to different countries were production, value addition of fruits and collected from the websites of digital vegetables, vet bio security, millet value agribusiness of their respective country. chain, value chain of different crops and Digital agripreneurs enrolled in the poultry. Agribusiness incubation society were contacted personally to collect the required Uniqueness about this company is that data. services are offered by agribusiness experts (50 more years of experience), PANDO Farm Decision Support System (FDSS) platform is used for dashboard insights for the performance. Further, it adopts Amazon Web Digitization
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