A healthy crop is required to provide high-quality food for daily consumption. Crop leaf diseases have more influence on agronomic production and our country. Earlier, many scholars relied on traditional techniques to detect and classify leaf diseases. Furthermore, classification at an early stage is impossible when there are not enough experts and inadequate research facilities. As technology progresses into our day to day life, an Artificial Intelligence subset called Deep Learning (DL) models plays a vital role in the automatic identification of groundnut leaf diseases. The essential for controlling diseases that are spread to the healthy development of groundnut farming. Deep Learning can resolve the issues of finding leaf diseases early and effectively. Most of the researchers concentrate on detecting leaf diseases by doing research in Machine Learning (ML) approaches, which leads to low accuracy and high loss. To achieve better accuracy and decreases the loss in the DL model by identifying the leaf diseases of groundnut crops at an early stage, we propose the Progressive Groundnut Convolutional Neural Network (PGCNN) model. This paper mainly focuses on identifying and classifying groundnut leaf diseases with a self-collected dataset which is collected from the various climatic conditions around the village located nearby Pudukkottai district, Tamil Nadu, India. The common diseases that occurred in those areas were gathered namely early spot, late spot, rust, and rosette. Model Performance metrics analysis was done to evaluate the model performance and also compared with the various DL architectures like AlexNet, VGG11, VGG13, VGG16, and VGG19. The proposed models have achieved a training accuracy of 99.39% and a validation accuracy of 97.58%, continuing with an overall accuracy of 97.58%.
Precision Farming (PF) or Precision Agriculture (PA) is a management of farming that uses modern technology to ensure that the soil gets what it needs to remain crop healthy for producing good productivity. Precision agriculture uses various ICT technologies such as Sensors, Actuators, GIS software, GPS, Variable Rate Technology, Robotics, Drone and other aerial imagery. Agriculture is important to our country’s economic structure since it provides food, raw resources, and job opportunities to a big portion of the people. Previously farmers use the traditional approaches to cultivate the crops like without use of technological advancement for cultivating the crops, that reduces the farmers yield and profit. Now a day the farmers are coming forward to convert their farms from conventional approach to smart approach by using modern technologies. By using modern technological equipments, the farmers can monitor the crop cultivation and reduce the wastage of excess amount of input to the farms. With the help of drones we can know the status of the growth and condition of the crop which is cultivated in the farm filed, it reduces the human interventions. This paper discusses about the modern technologies based on Precision methodology, components involves in IOT with sensors, field in which the Precision farming is applied, where the Internet of Things used by precision agriculture and difficulties faced by farmers.
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