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Mind map basically gives a brief understanding of the idea implementation and what the product would be able to give. In the IAS it has admin panel and user panel both have different roles and permission to connect with IAS (Pl. refer Figure 1).
Figure 1. Mind Map gives the shape to the idea that how the product will work and what the product will do
The Intelligent Agriculture System is a farming-based project and it will suggest the best crops in the region and maximum yield. Thus, it will affect all the stakeholders related to farming. It may use various technologies such as big data and ML (Machine Learning). These technologies will help us in fetching the data to train it according to the needs. Below are some of the related factors which should be known to us (Kummu, et al., 2012).
Healthcare is a necessary industry in which people want to be fit by focusing on healthy habits. People also take advice from doctors and professionals to stay healthy. Healthcare professionals can be doctors or nurses. To be healthy, good hygiene, yoga and daily exercises plays a key role. Administrative healthcare, clinical healthcare, medicine, and public healthcare are some of the fields of study in healthcare (Swain, et al., 2021).
In today’s world, good global health governance is becoming a necessary part in our daily life to discover the future of potential health developments these scenarios are needed. There are eight scenarios which are considered with the help of three criteria, long-range outlook, global-scope, and integration. On looking at the dimensions in aggregated scenarios 14 out of 31 gave reasonable details where nine described only few specific pressures in relation to human health (Jliedu social media, 2019).
Macro data experts have played a significant role in the development of the health centers and experimentation. It has provided the device to store, direct, examine, and comprehend the massive amounts of dissimilar data that is produced by current systems. Big data analytics has lately been pertained to aid the procedure of care delivery and ailment discovery. Although affecting rates and experimentation expansion in this period is still hampered by few problems inherent with in the big data prototype (Zimon, et al., 2020).
In this research, by focusing in the promising areas the author team has discussed some of these key challenges: image, signal, and genomics-based analysis. Recent researches target the use of good amounts of medical data and by combining multiple data from various sources are discussed (Belle, et al., 2015).
Currently this sector lacks science and application of modern technologies. Many companies and start-ups are even trying to fill the gap. Big Data has made serious achievements in areas such as healthcare, information technology, and education. So, it is also needed for the agriculture industry as well. Most of the farmers and ranchers have done an excellent job in maintaining and enhancing soil health using conservation practices, measurement tools are also needed in ensuring a sustainable farming future (Galli, et al., 2022).
To use the natural resources, it is needed to maintain yields and meet the food demands of a growing population, additional data and data tools can be helpful for the data collection and to provide actionable solutions and give results, respectively. For example, a satellite image or geospatial view of a farm where it would be extremely easy to make decisions regarding the layers, crops, and fields (Mungarwal, et al., 2019) (Pl. Refer Figure 2).
Figure 2. Big data applications in agriculture (https://data-flair.training/blogs/big-data-in-agriculture/)