Advanced AI Methods for Plant Disease and Pest Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced AI Methods for Plant Disease and Pest Recognition write by Jucheng Yang. This book was released on 2024-06-06. Advanced AI Methods for Plant Disease and Pest Recognition available in PDF, EPUB and Kindle. Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.
Human and Machine Learning
Human and Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Human and Machine Learning write by Jianlong Zhou. This book was released on 2018-06-07. Human and Machine Learning available in PDF, EPUB and Kindle. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Diagnostics of Plant Diseases
Diagnostics of Plant Diseases - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Diagnostics of Plant Diseases write by Dmitry Kurouski. This book was released on 2021-07-07. Diagnostics of Plant Diseases available in PDF, EPUB and Kindle. Digital farming is an approach to farming in which crop yield is maximized while environmental impact is minimized. Integral to this approach is diagnostic sensing of plant disease and stress. This book examines innovative sensing technology such as satellite- and unmanned aerial vehicle (UAV)-based RGB and thermography imaging as well as hyperspectral, infrared, reflectance and Raman spectroscopy.
Crop Disease Recognition and Classification Using Deep Learning
Crop Disease Recognition and Classification Using Deep Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Crop Disease Recognition and Classification Using Deep Learning write by Nafees Akhter Farooqui. This book was released on 2023-07-04. Crop Disease Recognition and Classification Using Deep Learning available in PDF, EPUB and Kindle. The world's largest agricultural need is high production; hence, most countries use modern techniques to boost crop yields. Advanced technology should increase yields. Other factors such as environmental stresses (pests, diseases, drought stress, nutritional deficits, and weeds) and pests affect plants at any stage. Thus, in agriculture, both quantity and quality are reduced. Crop diseases are the most important reason for quality and quantity losses in farming production. Such losses negatively affect the profit and production costs of stakeholders in farming. Conventionally, plant pathologists and farmers utilize their eyes to notice diseases and formulate decisions depending upon their knowledge that are often not precise and at times biased as in the earlier time a lot of types of diseases seems to be similar. This scheme paved the way for the needless usage of pesticides that resulted in high generation costs. Therefore, the requirement for a precise disease detector related to a consistent dataset to assist farmers is essential, particularly for the case of inexperienced and young ones . Advancements in computer vision help with the usage of ML or DL schemes. Moreover, there is a requirement for an earlier disease recognition system for protecting the yield over time. Accordingly, CNN is highly deployed in crop disease detection, and reasonable results are attained. Nevertheless, the crop disease images attained from lands were characteristically uncertain images that have a noteworthy effect on the enhancement of accuracy in crop disease recognition from images. There is a detrimental effect on agricultural output due to the prevalence of crop diseases, and increase food insecurity . The agricultural industry relies heavily on early identification of diseases, that prevention of crop diseases. Spots or scars on the leaves, stems, flowers, or fruits are common symptoms of crop diseases. Most of the time, anomalies can be diagnosed by looking for telltale signs that are specific to a given disease or pest. The leaves of crops are often the first to show signs of disease, making them an excellent starting point for diagnosis
Computer Vision and Machine Learning in Agriculture, Volume 2
Computer Vision and Machine Learning in Agriculture, Volume 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computer Vision and Machine Learning in Agriculture, Volume 2 write by Mohammad Shorif Uddin. This book was released on 2022-03-13. Computer Vision and Machine Learning in Agriculture, Volume 2 available in PDF, EPUB and Kindle. This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.
