An Integrated GIS and Knowledge-Based Automated Decision Support System for Precision Agriculture Using IoT

An Integrated GIS and Knowledge-Based Automated Decision Support System for Precision Agriculture Using IoT

Raja Lavanya (Thiagarajar College of Engineering, India), G. Vinoth Chakkaravarthy (Velammal College of Engineering and Technology, India) and P. Alli (Velammal College of Engineering and Technology, India)
DOI: 10.4018/978-1-5225-9004-0.ch006

Abstract

Agriculture is a sector that holds great promise to Indian economic growth. Production in rural Tamil Nadu is extremely low due to unscientific farming practices. The major challenges faced in Tamil Nadu agriculture are crop mapping, yield prediction, quality of food produced, irrigation management, variable rate fertilizer and pesticide due to lack of technical knowledge. Precision agriculture (PA) rules out all drawbacks of traditional agriculture. The main objective of the chapter is to enhance the productivity of rural Tamil Nadu in order to meet the growing demands of our country's food supply chain
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Introduction

Agriculture is the art of science for cultivating the soil, producing crops using different preparation methods and technologies and marketing the resultant products produced in the farming. India is an agriculture based country. The farmers are referred as ecosystem engineers as they use many different methods and techniques for increasing the production. It’s crucial to maximize agriculture resources in a sustainable manner. This is achieved by continuously monitoring and collecting data of crops and its major factors affecting the productivity of the crop such as weather, soil and air quality, crop maturity. An experimental test bed has to be designed and various types of sensors can be placed throughout the fields which are used to measure the needed parameters (Haider, Rosdiadee, Sadik, Aqeel & Mahamod, 2017).The proposed work adopts different domains like database management systems, Data analytics, Data mining, Internet Of Things, Wireless sensor Networks and Image processing and Artificial Neural Network. The physical real time data can be captured through different sensors and with the help of wireless sensor networks, the data will be uploaded in the cloud. The uploaded data will be properly maintained through database management systems in order to have the well-organized data. Then data mining algorithms will be applied to support the decision making process. During the entire cultivation period, the proper monitoring can be done. Also a recommended system has to be developed to predict future conditions and help farmers to make proactive smart decisions. At the end of harvest, proper evaluation will be done and revision plan will be generated for further improvement.

Objectives of the Work

  • 1.

    To help the farmers in Rural Tamil Nadu by providing optimized solution for improved agricultural production with the adaptation of Precision Agriculture in order to meet the growing demands of our country’s food supply chain.

  • 2.

    To optimize the inputs for agricultural production with respect to the nature of the agricultural land through Integrated GIS and Knowledge Based Automated Decision Support System in order to maximize the agriculture resources in a sustainable manner.

  • 3.

    To improve monitoring methods which include crop mapping, yield prediction, quality of food produced with the help of efficient inter disciplinary computing technologies.

Problems Intended to Be Addressed by the Proposed Work

  • Agricultural productivity in India is much lower than it should be. But dispersed rural populations and difficulty in monitoring agricultural extension agents reveal the limitations of current methods of information dissemination.

  • Lack of knowledge in the determination of the effect of soil type, landscape position, nutrient level, fertility treatments, disease and weeds of crops.

  • Lack of skills in water irrigation management.

  • Lack of digital analysis to detect crop disease.

  • Lack of decision making systems to optimize fertilizers and pesticide inputs and to reduce environmental risk of the production .

  • Lack of Identification of equipment development and technology transfer needs.

One of the biggest reasons for people to drift away from agriculture is that people do not find profit from farming. (Anup, Ojas, Deepika, & Sushmita, 2016) The adaptation of technological status of traditional agriculture of India is very limited when compared with the international status. As said India has the second largest area of fertile land but lacking in adopting new advanced computing technologies in the agricultural domain. This system will guide the farmers to use the advanced technology monitoring methods which include crop mapping, yield prediction, quality of food produced, irrigation management, variable rate fertilizer and pesticide to increase the productivity.

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