Empowers and Elevates Farmers and Protect Important Natural Assets in Agriculture Sector using Artificial Intelligence

Abstract

Agriculture is one of the most important occupations in developing countries. It is also essential for human life and survival. The full yield of agricultural production depends on crops, fertilizers and diseases that affect them. Some factors include nitrogen, phosphorus, potassium content, temperature, humidity, etc. The main problem in agriculture, farmers do not understand what crops to plant in their fields, what fertilizers can be used, how to grow crops and how to deal with any disease if it occurs. IoT based systems are available in the market to solve the mentioned problems but the cost is not affordable for small farmers. newlineThe proposed system helps farmers and other agricultural stakeholders to find the best crops to grow. Rainfall, temperature, content of N-P-K etc. in agriculture determines the best fertilizer that can be given for the crop to be grown. Important factors involved in determining the growth of crops based on factors such as determining the best fertilizer for growing crops. This system will also be useful in identifying plant diseases based on plant form and recommending diagnosis and remediation of plant diseases. Suggested frameworks include Logistic Regression, Random Forest, XGBoost, TransLearn, etc. It is built using artificial intelligence and machine learning algorithms. newlineA small program is implemented in the proposed system; Planting advice, fertilizer recommendations and plant disease forecasts. Because environmental circumstances differ from region to region, AI/ML models are used to estimate the optimum type of crop for a given location. AI/ML models are becoming increasingly important tools for farmers and agriculturalists that are looking to optimize their crop yields. By taking into account environmental conditions such as climate, soil type, and water availability, these models have help farmers determine the best type of crop for a given region. This is especially important for regions where climate change is drastically altering the suitability of certain crops. By usin