Description:Field of the Invention
This Innovation emphasizes the agriculture aspect that measures the quantity of fertilizers to be used in different types of crops. The field of invention assists the examiner in determining the specific fertilizers and their quantities suitable for particular crops. It involves considering the season, cultivation area, analysing the current situation of the crop, and addressing any problems encountered.
Objective of this Invention
Calculating the appropriate amount and type of fertilizers for a specific crop is crucial to maximize yields and ensure crop health. Optimizing fertilizer application for crops is essential for achieving sustainable and efficient agricultural practices. The objectives of calculating fertilizers for a crop include ensuring that crops receive the right balance of nutrients, which is crucial for maximizing yield. Accurate fertilizer calculations can lead to cost savings by preventing the overuse of fertilizers. Ensuring that crops receive a balanced supply of essential nutrients promotes healthier plants and can prevent nutrient deficiencies or excesses. Proper fertilizer management contributes to soil health by maintaining the right nutrient levels and preventing soil degradation.
Background of the Invention
The old agricultural practices of farmers often depended on observation and experience rather than scientific principles. They relied on historical knowledge passed down through generations to determine when and how much fertilizer to apply. The late 19th and early 20th centuries saw the emergence of soil science as a formal discipline. Scientists began studying soil properties, nutrient content, and their impact on plant growth. The mid-20th century witnessed the Green Revolution, a period of increased agricultural productivity driven by high-yielding crop varieties, irrigation, and chemical fertilizers. While the Green Revolution significantly increased production, it also raised concerns about environmental and economic sustainability due to intensive fertilizer use.
For instance, CN1076796A discloses the working of a kind of special calculator that calculates rate for fertilizer applications, for the purpose that applies fertilizers scientifically designs, by keyboard, CPU, LCD displays and memory are formed, difference balancing method and dissimilar subtraction method of soil fertility with method of fertilization for providing the mathematics model, get the Nutrients Absorption amount of crop specific amount provides, The nutrient contents and usage of soil factors are constant in the fertilizer, fetch earth nutrient utilization coefficient and utilization rate of fertilizers is the relative constant parameter, classification of increase and decrease check key is floated and is changing, the input and crops variety, target output, soil nutrient measuring value be executing pure amount of nutrients and implement the chemicals, fertilizers amount, and computing is fast, operation letter, standards as a result, easily popularize.
CN1330231C is also related to a unique method and device for calculating fertilizer application quantities for crops across various fertilizer application periods. This invention specifically pertains to the field of crop fertilizer applications. Unlike existing methods, this invention suggests fertilizer application amounts for different periods based on the calculation of the total nutrient usage by crops in the current technical approach. Consequently, this innovation addresses the limitations of conventional fertilizer application methods by providing a scientifically guided approach. In this invention, input equipment is utilized to input data regarding the crops intended for planting and fertilizer application parameters. Simultaneously, the calculation control equipment accesses parameters stored in the storage equipment based on the input data. It then performs calculations to determine the fertilizer quantities required for the crops in all fertilizer application periods, with the results being output through output equipment. This approach aims to enhance the precision and scientific basis of fertilizer application, ensuring optimal crop nutrient management.CN2160941Y provides a system of a special-purpose calculator to calculate fertilizer quantity, which is designed for scientifically applying fertilizer. The utility model is composed of a keyboard, a CPU, an LCD displayer and a memory. The utility model uses the nutrient balance method of the target production method and the land capability subtracting method as the mathematical model, takes the nutrient absorbing capacity of the crops specific yield, the nutrient content in the fertilizers and the land utilization coefficient as constants, and uses the utilization coefficient of the soil nutrient and the utilization rate of fertilizer as relative constant parameters. Thus, the crop variety, the target quantity, the soil nutrient measured value or the blank yield can be inputted by increasing and decreasing the grading floating variation of a check key to calculate the nourishing components and carry out the fertilizer quantity. The utility model has the advantages of quick calculation, simple operation and exact result
CN116540272B proposes methods of a large-scale satellite orbit calculation method based on a Newton interpolation formula and a Hohner law. The method comprises the following steps: acquiring orbit data of a batch of precise ephemeris, and grouping the orbit data, wherein each group of orbit data comprises a plurality of satellite orbit coordinates which are arranged according to the sequence of corresponding time points; and constructing a one-dimensional matrix for each set of orbit data as a first corner mark of each set of orbit data, wherein elements in a single one-dimensional matrix are in equal difference increment number columns, and the tolerance is the difference between time points corresponding to adjacent two satellite orbit coordinates. The embodiment of the application can realize high-precision fitting of the satellite orbit coordinates and improve the calculation speed of the satellite orbit coordinates.
Summary of the Invention
The invention of calculating a fertilizer involves the development of methods and technology to determine the optimal amount and the composition of the fertilizers needed for a crop cultivation this innovation aims to enhance agricultural efficiency increases crop yields then promotes sustainable farming practises the invention builds on advancements in soil science agronomy and plant nutritious to establish a scientific basis for determining nutrient requirement of the crops utilizes soil testing and analysis to assess the nutrients content and characteristics of the soil providing essential information for tailored fertilizers recommendations tailors fertilizer prescriptions to specific crop types growth stages and environmental conditions recognizing the varying nutrient needs throughout the crops lifecycle relies on data-driven approaches incorporating factors such as soil composition weather patterns and historical performance to make informed decision about fertilizer application aims to achieve a balanced nutrient profile in the soil preventing deficiencies or excesses that can adversely impact crop health and productivity focuses on cost-effective fertilizer management by avoiding overuse and waste contributing to economic efficiency for farmers addresses environmental concerns by promoting responsible fertilizer use to minimize the risk of nutrient runoff water pollution and other adverse ecological effects recognizes the dynamic nature of agriculture and adapts to changing environmental conditions ensuring that fertilizer recommendations remain relevant and effective integrates technological tools and innovations such as sensor technologies is geographic information system and digital platforms to enhance the accuracy and efficiency of fertilizer calculations the invention of calculating fertilizer represents a multidisciplinary approach that combines scientific principles data analysis and technology for optimizing nutrient managements in agriculture the overarching goals include improving field productivity decreases environment impact and promotes sustainable and economical viable farming practice
Brief Description of Drawings
The invention will be described in detail with the reference to the exemplary embodiments shown in the figures wherein:
Figure-1:Flowgorithm representing the work flow of the fertilizer calculator in the field
Figure-2:Diagramatic representation of storage of the details of each crop in clusters
Figure-3: Flow chart representing the basic architecture and workflow the developed prototype
Detailed Description of the Invention
The detailed description of calculating fertilizer in the context of the mentioned invention involves a systematic process considering various factors related to crop types, application periods, and nutrient requirements. The process begins with the input of essential parameters, including information about the crops to be planted and specific fertilizer application parameters. Input equipment, whether a user interface or any data input system, gathers data on crop types and relevant parameters like soil conditions, climate, and crop growth stages.
The calculation control equipment accesses stored parameters from the storage equipment based on the input data, which may include historical data, scientific studies, or predefined models correlating crop types with nutrient requirements. Using retrieved parameters and data, the calculation control equipment performs complex calculations to determine the fertilizer quantities needed for specified crops in different application periods. These calculations likely account for factors such as crop nutrient demands at various growth stages, soil nutrient levels, and external factors like weather conditions.
The innovation emphasizes a scientific approach by calculating total nutrient requirements for crops, ensuring fertilizer application amounts are based on a comprehensive understanding of the crops' nutritional needs. Calculated fertilizer quantities for different application periods are then output through output equipment. This output could take the form of recommendations for farmers, providing precise information on fertilizer application during specific stages of crop growth. By incorporating data-driven calculations and considering various parameters, this method aims to overcome the disadvantages of traditional fertilizer application approaches relying solely on observation and experience.
To determine the fertilizer application rate, use the formula: \( \text{fertilizer application rate} = \frac{\text{desired N application rate}}{\left(\frac{\%N \text{ on label}}{100}\right)} \). For example, with a fertilizer NPK ratio of 28-0-6 and aiming for an N application rate of 43 lbs/acre, the calculation would be \( \frac{43 \text{ lbs N/acre}}{\left(\frac{28}{100}\right)} = 154 \text{ lbs fertilizer/acre} \).
To find the amount of fertilizer for your lawn, multiply the fertilizer rate by the lawn area: \( \text{fertilizer weight required} = \text{fertilizer application rate} \times \text{lawn area} \). If the lawn is 1.5 acres, you'd need \(1.5 \text{ acres} \times 154 \text{ lbs fertilizer/acre} = 231 \text{ lbs of fertilizer} \).
The calculator also provides a bonus, indicating how many bags to purchase if you input the weight of each fertilizer bag. To calculate P and K added by the fertilizer, using Kreher’s 5-4-3 (4% P, 3% K), for example, \( 2,200 \text{ lbs/A of 5-4-3} \times 0.04 = 88 \text{ lbs/A P} \). The total P needed is 50 lbs/A, and the application of 5-4-3 will apply 84 lbs/A of P, so no additional P is required. For K, \( 2,200 \text{ lbs/A of 5-4-3} \times 0.03 = 66 \text{ lbs/A K} \). The total K needed is 125 lbs/A, and subtracting 66 lbs/A applied, you need an additional 59 lbs/A of K.
Fertilizer recommendations are expressed in kg/ha, following the order NP205-K20 (or N-P-K). If only nitrogen is needed, the rate is given in kg of nitrogen (N) per hectare. Fertilizer rates are formulated based on field trials or soil analysis results.
The processor serves as the central computing unit, responsible for executing instructions and performing calculations. It manages data flow among various system components and ensures the timely execution of algorithms. The database functions to store and manage extensive sets of structured data. In the context of fertilizer calculation, it may contain information about crop nutrient requirements, soil characteristics, nutrient levels, and historical data on crop performance and fertilizer application.
AI technologies, particularly machine learning, elevate the fertilizer calculation process by enabling the system to learn and adapt over time. AI can be applied for pattern recognition, identifying patterns in historical data related to crop growth and fertilizer application. Predictive analysis anticipates future nutrient requirements based on current and historical data, while adaptive recommendations adjust fertilizer suggestions dynamically in response to changing conditions.ML algorithms enhance the accuracy and efficiency of fertilizer recommendations by learning from data patterns and making predictions or recommendations without explicit programming. Applications in fertilizer calculation encompass regression models predicting crop nutrient needs, clustering algorithms grouping crops with similar nutrient requirements, and classification models identifying optimal fertilizer types and quantities for specific crops and conditions.
Tailored algorithms are crafted for various calculations based on input data and desired outcomes. These may include nutrient requirement algorithms calculating precise nutrient amounts at different crop growth stages, optimization algorithms determining the most efficient and cost-effective fertilizer application strategy, and environmental impact algorithms assessing and minimizing the environmental consequences of fertilizer application.Distinct modules within the system perform specific functions: the input module gathers and manages user input, including crop type, growth stage, and environmental conditions; the database module retrieves and stores relevant data for calculations; the calculation module executes algorithms and ML models to calculate fertilizer quantities; the output module presents recommendations to users through a user-friendly interface. The integration module connects with other technologies, such as IoT sensors, for real-time data input and monitoring.Nutrient Balance Algorithms: These algorithms focus on achieving a balance of essential nutrients for optimal crop growth. They take into account the nutrient levels present in the soil, crop requirements at different growth stages, and the nutrient content of fertilizers. Nutrient Uptake Algorithms: Nutrient uptake algorithms calculate the amount of nutrients that crops are expected to absorb from the soil during specific growth phases. This is often based on empirical data and models that estimate nutrient uptake rates. Stoichiometric Calculations: Stoichiometric calculations involve the use of ratios to determine the optimal proportion of nutrients required for a particular crop. These ratios are often derived from the chemical composition of plants and their nutrient needs. Machine learning algorithms, including regression, clustering, and classification models, can be trained on large datasets to predict optimal fertilizer quantities. These models can adapt and improve over time as more data becomes available.
Overall, this detailed description highlights the systematic and scientific nature of the fertilizer calculation process in the mentioned invention, contributing to more informed and efficient crop nutrient management.
Advantages of the Proposed Model,
The implementation of a fertilizer calculation module in agriculture offers several advantages, contributing to more efficient and sustainable farming practices. Here are some key benefits:
Fertilizer calculation modules enable precision agriculture by providing accurate and tailored recommendations for fertilizer application. This precision helps optimize resource use, minimizing overuse or underuse of fertilizers. Farmers can optimize their fertilizer investments by applying the right amount of nutrients precisely when and where they are needed. This leads to cost savings by avoiding unnecessary fertilizer expenses and reducing waste. Accurate fertilizer calculations contribute to environmental sustainability by minimizing nutrient runoff, which can lead to water pollution, and reducing the risk of soil and ecosystem degradation. This aligns with sustainable farming practices and regulatory requirements. Properly calculated and targeted fertilizer applications support optimal crop nutrition, leading to increased yields. By meeting the specific nutrient needs of crops at different growth stages, farmers can enhance overall productivity. Fertilizer calculation modules often incorporate real-time data and adaptive algorithms. This allows the system to adjust fertilizer recommendations based on changing environmental conditions, ensuring that crops receive the right nutrients at all times. These modules leverage data on soil characteristics, weather conditions, crop types, and historical performance. This data-driven approach empowers farmers with valuable insights, enabling informed decision-making in nutrient management. Automated calculation modules reduce the time and effort required for farmers to manually determine fertilizer application rates
In summary, the implementation of a fertilizer calculation module offers a multifaceted approach to optimizing nutrient management in agriculture, leading to economic, environmental, and productivity benefits for farmers.
7 claims and 3 figures , Claims:The scope of the invention is defined by the following claims:

Claim:
1. The smart fertilizers calculator with ai-driven precision fertilization platform (pfp)comprising.
a) Cut fertilizer costs significantly by [percentage] through our advanced fertilizer calculation system, preventing over application and minimizing wastage.
b) Champion environmentally sustainable farming practices with our fertilizer calculation module, reducing nutrient runoff and promoting soil health.
c) Achieve substantial yield improvements of up to [percentage] by applying the right nutrients at the right time, as recommended by our fertilizer calculation system.
2. As per the claim 1, The fertilizer calculation module adjusts to changing environmental conditions, offering real-time recommendations for optimal nutrient management.
3. According to claim 1, The Save valuable time in fertilizer planning and application with our automated fertilizer calculation module, streamlining decision-making for farmers.
4. As per the claim 1, To Achieve seamless integration with precision agriculture technologies, including sensors and automated dispensers, boosting overall farm management efficiency.
5. According to claim 1, To Enhance crop health and growth by ensuring optimized nutrient uptake through our scientifically formulated fertilizer recommendations at each growth stage.
6. According to claim 1, To Stay compliant with environmental regulations and guidelines by utilizing our fertilizer calculation module, aligning with sustainable and responsible farming practices.
7. As per the claim 1, The Benefit from a continuously evolving system that learns and improves over time, incorporating machine learning for adaptive and data-driven fertilizer recommendations.