Precision Agriculture and Machine Learning

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Abstract

Agriculture production is one of the most important sectors in any country’s growth. It has an influence not only on the economics of the country but also on global food grain statistics. Food security is a major challenge due to the rapidly increasing global people as well as the reducing trend in yields of crops. Obtaining sustainable crop production is always a problem for agriculturists. Due to ever-changing climatic circumstances, achieving optimal agricultural output has always been a problem for farmers. Land types, resource availability, and fluctuating climate patterns are the main causes of agricultural production uncertainty. Thus, researchers are developing tools that can predict crop production correctly and effectively in advance, allowing farmers worldwide to act accordingly in strategies to respond to obstacles. Agronomic strategies used by farmers at various phases of crop production and meteorological elements have a significant impact on crop production output [5]. The supply of nutrients directly impacts crops and the production of crops. Crops require a variety of nutrients, which are branched into two groups based on their requirements: macroeconomic nutrients and essential micronutrients. Phosphorous (P), Nitrogen (N), Calcium (Ca), Zinc (Zn), Potassium (K), Boron (B), Iron (Fe),Magnesium (Mg), Sulphur (S), and other nutrients are among them. Many micronutrients in the crops regulate biochemical processes, give resistance to diseases, and ultimately degrade crop quality. As a result, regulated nutrient management is critical for increasing crop production and achieving the essential rise in output. Furthermore, minerals have an important function in soil fertility, making it more productive for crop development. The following review article is going to address the most current facts regarding nutrients along with their usage in agricultural production for crop development.