Evaluation on Correctness Agriculture - Soil Quality and Soil Borne Disease in India using Machine Learning

Soil-borne diseases affect agricultural performance, which protects the ozone layer, methyl bromide was widely employed to manage infections. Reduced crop performance, lower yield, and increased production costs are only a few of the major issues created by soil-borne diseases in agricultural production throughout the globe. Field crop soil-borne diseases threaten crop yields. Treatments in disease-free regions may be reduced by early identification and use of agro-technical solutions or preventive material. A soil's ability to operate as a dynamic living system within the confines of a land-use boundary is described as its health and quality. When the soil's ecological production is maintained, the quality of the neighboring human health and the environment are maintained as well. Soil nutrient deficiencies, moisture content, and other types of calamities impact agricultural yield. The definitions, assessments, and interpretations of soil quality and its related concepts are given here. Due to the soil disease control technique used to reduce damages, soil health has undergone considerable modification. New communications and information technologies allow big data analysis to be used to anticipate the start or progression of diseases currently. Used soil evaluation methods for agriculture land use, most often. Few systems have a simple, explicit means of measuring soil risks, soil functionalities, and ecological processes. In this work, we study research papers over the last decade that have attempted to predict when disease start occurs (i.e., before or during indications) or at a preliminary phase. We discuss how machine-learning procedures were utilized, the kinds of data used, performance measures, and anticipated outcomes, pointing out problems found along the way. This approach is now in its early stages, and a lot of challenges remained.