Abstract
The potential of land in Indonesia which is quite large and has not been used optimally is one of the problems. this study focused on developing fuzzy logic models to predict plants that are suitable for planting on agricultural land to enable the land use more optimal. In conducting this study, there were two stages of implementation, namely hardware design, and software design which included system workflow design using the Fuzzy Logic Classifier method where three input variables were used, namely soil pH, soil temperature, and humidity. The findings of this study are in the form of predictions consisting of eight outputs, namely Unfavorable Land, Spinach, Cayenne Pepper, Beans, Long Beans, Cucumber, Eggplant, and Tomatoo. The prediction results generated were directly displayed on the LCD of the instrument that has been designed.
Highlights
Agriculture has an important role in human life because it functions as a provider of food, feed for livestock, and bioenergy
From the study that has been done, it can be concluded that fuzzy logic as a method used to predict crop suitability on agricultural land has a fairly good accuracy, which is above 75%
The output or predictions produced are strongly influenced by the input data from the tool
Summary
Agriculture has an important role in human life because it functions as a provider of food, feed for livestock, and bioenergy. Indonesia has considerable land potential and has not been used optimally. Farmers need prior expert knowledge to make decisions during land preparation, sowing, fertilizer management, irrigation management, integrated pest control, storage, etc. Land preparation is one of the most important factors that need to be done in starting a cultivation business. Good land preparation has a big effect on plant productivity. Many studies have shown that land preparation before cultivating can increase crop yields by up to 30% [3]. Optimal land use can be done, one of which is knowing information related to the land which is needed to increase agricultural productivity. In order to minimize the possibility of crop failure, the community needs information about the condition of the land in order to estimate the plants that are suitable for planting. Information about the land might be analyzed based on data taken directly in the field using three measurement parameters, namely soil pH, temperature and soil moisture
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