Nepali Harvester || Deltathon 2023 || ERC || IOE || DEEP LEARNERS || ML Based
Our idea is based on the Agriculture theme. Based on the theme, we are about to develop a web page or app that will mostly focus on the disease prediction of different types of plants through the leaves of those plants, combined with a system that will be capable of predicting which crops should be harvested right now based on some parameter such as temperature, humidity, etc. This concept was created with the intention of addressing a problem that new farmers face on a daily basis. Farmers would easily identify whether their crops are healthy or not and what precautions should be taken to solve the problem if the crops are not in good condition, along with the problem of which crops will be more beneficial to harvest in this season for more benefits. The objectives of the proposed web page or app are:
• To predict diseases in different types of plants using images of their leaves • To predict which crops should be harvested based on environmental factors such as temperature and humidity • To assist new farmers in identifying the health of their crops and taking appropriate precautions • To aid farmers in determining which crops will be most beneficial to harvest in a given season for maximum yield and profitability.