Research And Engineering Practice Of Soil Fertility Detection And Fertilization System Based On Accompanying Perception System

Fertilizer,as an important factor of agricultural production,are currently widely used in an oarse-unconst-rained,which led to low crop quality and yield,destroys soil structure and biodiversity,increases greenhouse gas emissions,pollutes water sources,and posed a significant threats to the ecological environment and human development.For current modern agriculture,precision fertilization,as an important topic,has both a sense of urgency and huge opportunity.Accurate fertilization necessitates a precise comprehension of soil fertility and the application of fertilizers tailored to the specific requirements of crop development.In view of the identified challenges and requirements in the aforementioned areas,this dissertation introduces continuous and online sensing measurement methodologies.These approaches are developed through a diverse range of research and experimental techniques.The research emphasizes pivotal initiatives including the assessment of soil fertility perception and the formulation of fertilization strategies.Conductivity serves as a primary metric for gauging soil fertility.Furthermore,the study conducts a thorough analysis of error factors to enhance measurement precision.It advocates for a reduction fertilization approach by comparing actual and recommended fertility levels.Additionally,the dissertation proposes the development of a soil fertility measurement and fertilization system that integrates real-time sensing capabilities,facilitating the transition from theoretical investigation to practical implementation.The following are the main contents of this dissertation:Firstly,the correlation model linking soil conductivity to key soil fertility indicators was proposed.This model was developed through a comprehensive review of literature and empirical studies focusing on specific soil types.It was observed that significant soil fertility parameters such as total nitrogen and organic matter exhibited a robust and consistent positive correlation with soil conductivity.A data model was subsequently established,and an error correction methodology was introduced to refine this correlation.Secondly,the framework for quantitatively characterizing soil conductivity was constructed.This framework addressed the influence of various external factors such as temperature,salinity,depth,and material on soil conductivity measurements.Through qualitative and quantitative analyses employing orthogonal experimental design,the correlation coefficients between these factors and conductivity were examined.This approach aimed to provide a solid foundation for accurate conductivity assessments.Thirdly,the fertilization strategy was proposed based on real-time adjustments to fertilizer prescriptions guided by soil conductivity measurements.Utilizing average soil fertility levels,prescribed fertilization values,and mean conductivity as benchmarks,this strategy involved dynamically adjusting fertilizer application rates based on real-time conductivity data to optimize plant soil fertility.Fourthly,the research and development of related engineering and technical products and to the market.Emphasizing principles of economic viability,practicality,and agricultural efficiency,fertilization systems integrating conductivity-based sensing were developed and introduced commercially.Through practical applications,these systems aimed to achieve reduced fertilizer usage while enhancing agricultural productivity.Addressing critical issues in agricultural production,this study employs pragmatic,efficient,and straightforward technical solutions to develop system products that align with market demands.These products serve as accessible tools for efficiently collecting extensive soil fertility data in the future unmanned agricultural scenarios.