Research article


Dr. Shubhangi Potdar, Dr. Mahesh Potdar, Mokshada Potdar

Online First: December 30, 2022

In our proposed approach, we used a larger database that covered every state, while the former scheme only considered a particular region. Such concepts might be used to increase awareness among agriculturalists. A visual representation of the products to be grown may help the farmer comprehend them effectively. Machine learning approaches use information to develop a well-defined pattern that assists us in forecasting. Crop forecasting, rotations, water requirements, fertiliser requirements, and farming techniques are all potential issues. Because of the atmosphere's changeable meteorological parameters, an effective approach to aid crop cultivation and assist farmers in their yield and governance is required. This might help aspiring farmers improve their farming practises. With the use of data analysis, a farmer may be presented with a platform of suggestions to assist themselves in crop production. Crops are suggested for implementation, depending on meteorological factors and volume. Data analytics lays the path for the development of valuable extractions from farming databases. The crop data set has been examined, and crop recommendations are made depending on yield and period. Machine learning, agricultural approaches, and crop projections are some of the terms used in this paper. Temperature and climatic variations have always had an impact on agricultural production, agriculture, and livestock breeding. The precautions taken may not always work. Communication and intellectual systems are novel approaches that may be used to address these shifts via accuracy farming. This study discusses the prospects of precision farming, which has been shown to function in other nations via the use of machine learning and AI. The application area is aimed at medium- and large-scale farmers, with the goal of highlighting the benefits and drawbacks of the approaches. Earlier, there was limited development in this area, but since 2015, several start-ups have emerged, offering excellent financial returns. These intellectual techniques have been used in industrialised nations, resulting in greater output, GDP expansion, lower mortality and higher standards of living. The same might be done privately to enhance crop yields.