Data mining methods are greatly admired in the research field of agriculture. The agriculture factors weather, rain, soil, pesticides and fertilizers are the main responsible aspect to raise the production of yields. The fundamental basic key aspect of agriculture is Soil for crop growing. Examination of soil is a noteworthy part of soil asset management in horticulture. The soil investigation is exceptionally useful for cultivators to discover which sort of harvests to be developed in a specific soil condition. The main target of this work is to investigate soil supplements utilizing data mining classification techniques. A large data set of soil nutrients status database was collected from the Department of Agriculture, Cooperation and Farmers Welfare. The database contains measurement of soil nutrients for all different states. This work takes some district of Tamil Nadu in India to analyze the soil nutrients. Distinctive sort's soil has diverse variety of supplements. This paper chooses Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sulfur, Iron, Zinc, and so forth, nutrients for investigating the soil supplements utilizing Naïve Bayes, Decision Tree and Hybrid approach of Naïve Bayes and Decision Tree. The performance of the classification algorithms are compared based on the following two factors: accuracy and execution time.

This paper proposes an environmental monitoring for agriculture soil using Wireless Multimedia Sensor Network. WMSN is used to monitor the agriculture soil environment.  In order to ensure optimal use of the sensor nodes in WMSN and accurate access to the collected data, the  routing protocols with both energy efficiency and quality of service ( QoS) properties are necessary for the transmission of photo, video and scalar data. This paper proposes a priority aware energy efficient QoS based data transmission for agriculture soil environment and also detects the pest. It utilizes the available bandwidth and data rate in the best way and in order to be more energy efficient during data transmission. For performance analysis, the proposed system is simulated using Java and the results of the experiments suggest that the proposed algorithm is more efficient compared to other methods in terms of delay and energy consumption. The sink node provides the solution based on these collected values.

In the networking research community, Wireless Sensor Networks (WSN) has achieved considerable significance in the past years and it can be used in extensive variety of domains. In recent years, the tremendous growth of WSN does not meet all the necessities of environmental monitoring. Wireless Multimedia Sensor Network (WMSN) is required to fulfill the requirements of environment monitoring. In this paper, WMSN is used to monitor the agriculture soil environment.  In order to ensure optimal use of the sensor nodes in WMSN and accurate access to the collected data,the routing protocols with both energy efficiency and quality of service ( QoS) properties are necessary for the transmission of photo, video and scalar data.This paper proposes a priority aware energy efficient QoS based data transmission for agriculture soil environment and also detects the pest. It utilizes the available bandwidth and data rate in the best way and in order to be more energy efficient during data transmission.For performance analysis, the proposed system is simulated using Java and the results of the experiments suggest that the proposed algorithm is more efficient compared to other methods in terms of delay and energy consumption.