Akademik Veri Yönetim Sistemi
Emerging Omics Technologies for Sustainable Agriculture, Elsevier, ss.15-40, 2026
India is an agricultural oriented income-generating Nation of the world. Most people in India make their living through their harvest from their land. Almost 70% of the population in India is engaged in agricultural occupations like farming, irrigational activities, animal husbandry, and so on. It requires a lump sum amount of financial investment. India is a developing Nation. So budget constraint is an inevitable phenomenon that is always there. To aid the farmers in the evaluation of crop nutrient content, data-driven AI-assisted system will be able to measure the nutrient status of the crop and predict the necessary steps to keep the crop healthy. The system will collect data pertaining to temperature, moisture (humidity), solar irradiance (W/m2), nutrient content of soil, water content of soil, etc. This type of data is necessary to guide the crop harvesters to predict the availability of rain required for the growing of crops. Using the above data, the system will operate a machine learning algorithm in order to check the nutrient status of the crop. Using this process, the application of fertilizers to the crops can be predicted and economic benefits can be optimized to elevate the greenery of India. Based on weather conditions, afforestation and the type of trees to be planted to regain the atmospheric health can be predicted.