Abstract
In the Agriculture sectors the pressure is increased immensely due to the rise in population. In this present year we mainly witness a move from conventional methods to the advanced technology with advent of the technology. Machine Learning and Text Processing have transformed the quality and the quantity of agriculture. The real time monitoring systems along with hybridization of species paved away for resource efficiency. Scientists and researchers across the globe are mainly shifting towards collaborative projects and ideologies to explore this field for saving society. The optimal solution has been provided by racing in the tech industry. This application will be portable, scalable and durable that provides help for initiating new areas in the agriculture field. So, this survey focuses on machine learning methodologies along with Text Processing systems in agriculture. This startup’s private and public sector which is around the world that provides smart and sustainable solutions are briefly discussed. Based on agriculture this scenario, limitations, applications, development and future parameters are also briefly explained. The greatest challenge for the future agriculture lies in making agriculture research and extension more demand driven and client oriented. In addition, laboratory analysis has been undertaken to assess the nitrogen status and the soil carbon of fresh paddy soils and the used paddy soils as well as saplings. During the first season of 2011 the data collected on pests, disease incidence and severity and yield are being compiled for analysis. Therefore, integrated research to develop a bottom up participatory technology extension approach using new technologies is suggested for sustainable development in agriculture.
Highlights
Agriculture is one of the benchmark areas and milestone feelings of mankind
According to the Food and Agricultural Organization of UN the humans depend on agriculture for their survival more than sixty percent and around twelve percent of the land is for the crop production
Agriculture has been ranked 2nd for emitting greenhouse, biomass, machinery and fossil based fertilizers and it is the backbone of the economy for some of the nation [2]
Summary
Agriculture is one of the benchmark areas and milestone feelings of mankind. The word agriculture is found in the Latin language where ager is land and culture is cultivation [8]. The main focus of this survey is how Machine Learning, Text Processing, Random Forest Algorithm and Flutter Framework are associated with this problem statement. We have tried to bring overview and general purpose of Machine Learning, Text Processing, Random Forest Algorithm and Flutter Framework. Ensemble classification methods are based on constructing a group of classifiers instead of a single classifier which classifies into new data values by taking a result of the predictions calculated before These are classified as bagging, boosting and random forest [12]. The Flutter core provides the base-level implementations of Flutter's whole Application Programming Interface, including text layout, graphics, file, network input/output, plugin architecture, accessibility support, a dart RT and compiles tool chain. The widgets layer allows us to explain to us about the combination of classes that we can use again
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