"“Agri-Go” Image processing approach towards crop suggestion "

Abstract

" In the Earth's ecology, soil plays a critical function. It would be incredibly difficult for human life without the soil. Soil functions refer to the broad range of characteristics that soils possess and are critical for a variety of agricultural, environmental, nature conservation, landscape architecture, and urban uses. Due to the hectic lifestyles that individuals lead, they are unable to contribute culturally. Although the older generation had vast knowledge on these, the new generations that are sailing into plantations and agriculture have little notion on how to grow with high production, thereby not having enough knowledge on the plantings and framings need to be modified according to the soil distinctive nature. While there are many studies on the internet, there is no evidence for a proper functional system that could determine the type of soil. This drives the need of a system that could make suggestions on the plants based on the type of soil. Agri-Go was established with the intention of bridging the hassle of identifying the type and kind of soil for cultivation. This system was created and developed with the goal of recommending plants that would thrive in each soil. Design and algorithms incorporated within the system are unique. Besides, user-friendly interface, the program was examined and assessed by many subject specialists in the field of soil prediction for its reliability and feasibility."