Thechallenges and opportunities in our country are many for 130 million farmersspeaking diversified languages with 140 million hectares of productive land under 127 agro climatic regions capableof supporting 3,000 different crops and one million varieties. The effect of climate changeposes many threats; about changes in the quality and quantity water resourcesand crop productivity. The Smart Agriculture production is a development thatemphasizes the use of information and communication technology to manageproduction in a better way. Internet of Things (IoT) and Cloud Computing areexpected to change the current farming process into climate based agriculture.A new Agriculture infrastructure based analytics can be created using IOT.
Application of IOT in agriculture useful in managing food traceability usingRFID, soil and plant monitoring, precision agriculture, greenhouse environmentmonitoring and control systems, GIS based monitoring of supply chainmanagement, monitoring of livestock. The Big-data on agriculture cananalyse varieties of crops related attributes like seeds suitable for fields,soil types, and climatic conditions. Analysing best crops suitability tofarmers to identify diseases. Big Data, involves massive amountof data with a wide variety of attributes that can be captured (digital) ,analysed and used for decision-making. Big Data analytics can be used to streamlining food processing tocontinually improve the accuracy, quality and yield of production.
Thispaper aims at analysing the insight of the application of Big Data and Internetof Things in Smart Agriculture production and identify the relatedsocio-economic challenges. A conceptual framework for analysis is developed andcould be applied for future studies. Data visualization can also play a vitalrole in determining varies crop production challenges.Toreview the scope of Big Data applications in Smart Agriculture production goesbeyond primary production; it is influencing the entire food supply chain. Bigdata are being used to provide predictive analytics in farming operations,real-time operational decisions, for changing business models. Big Data willcause major shifts in current food supply chain networks. Lastly , this paper suggests that inagricultural IOT, has converted the agriculture system into completely newinfrastructure with application of IOTin agriculture useful in managing foodtraceability using RFID, soil and plant monitoring system GPS based, precisionagriculture, greenhouse environment monitoring and control systems using remotesensing , GIS based monitoring of supply chain management , monitoring oflivestock.
Moreover, this paperrecommends how agricultureindustries would assist farmers in minimizing and managing risk related toproduction and marketing of agricultural product, through the application of spatial databases and cloud enabled and integratedthrough Application Programming Interfaces (APIs)