A voting classifier based machine learning system that aims to classify different levels of macro-nutrient present in a soil sample depending upon the amount of some other parameters.
https://macronutrient-status-esmitamor.onrender.com/
-
Researchers in the fields of plant physiology, biotechnology, and eco-physiology are studying blind features of primary and secondary macronutrients for their potential impact on plant life.
-
Macronutrients play crucial roles in various metabolic processes throughout the life of a plant.
-
pH measurement is conducted using the 1:2.5 H2O method, organic carbon is measured using the Walkley-Black method, and electrical conductivity is measured in Deci Siemens per meter (dS/m).
-
Macronutrients (N, P, K, S) are quantified in kilograms per hectare (Kg/Ha), while micronutrients (Zn, Fe, Cu, Mn, B) are quantified in parts per million (ppm).
-
Measuring macronutrient levels in soil is essential for maintaining and enhancing productivity, preventing soil degradation, improving fertilizers, and addressing environmental issues.
-
Effective nutrient management is crucial, involving proper soil analysis and fertilizer application.
-
Soil parameters like fertility indices for macronutrients, soil pH, soil type, and preferred crops are relevant for determining fertilizer recommendations.
-
This system is proposed to classify the fertility levels of primary macronutrients (Nitrogen, Potassium, Phosphorus) based on soil test report values.
-
This classification helps recommend appropriate fertilizer amounts, saving time and expenses associated with detailed chemical analysis by specialized technicians.
- pH
- Electric Conductivity
- Organic Carbon
- Sulphur
- Zinc
- Iron
- Copper
- Manganese
- Boron