Control of phytopathogens using sustainable biogenic nanomaterials: recent perspectives, ecological safety, and challenging gaps
Crop yield loss caused by phytopathogens has a massive impact on global economy. For
over a century, agrochemicals have been used for plant disease management; however, the …
over a century, agrochemicals have been used for plant disease management; however, the …
Plant leaf disease classification using EfficientNet deep learning model
Most plant diseases show visible symptoms, and the technique which is accepted today is
that an experienced plant pathologist diagnoses the disease through optical observation of …
that an experienced plant pathologist diagnoses the disease through optical observation of …
Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images
Plant diseases are one of the major concern in the agricultural domain and their automatic
identification is very crucial in monitoring the plants. Most of the disease symptoms are …
identification is very crucial in monitoring the plants. Most of the disease symptoms are …
Olive disease classification based on vision transformer and CNN models
It has been noted that disease detection approaches based on deep learning are becoming
increasingly important in artificial intelligence‐based research in the field of agriculture …
increasingly important in artificial intelligence‐based research in the field of agriculture …
Object detection and recognition techniques based on digital image processing and traditional machine learning for fruit and vegetable harvesting robots: an overview …
F Xiao, H Wang, Y Li, Y Cao, X Lv, G Xu - Agronomy, 2023 - mdpi.com
The accuracy, speed, and robustness of object detection and recognition are directly related
to the harvesting efficiency, quality, and speed of fruit and vegetable harvesting robots. In …
to the harvesting efficiency, quality, and speed of fruit and vegetable harvesting robots. In …
A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
It is important to develop accurate disease management systems to identify and segment
corn disease lesions and estimate their severity under complex field conditions. Although …
corn disease lesions and estimate their severity under complex field conditions. Although …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique
Tomato leaf infections are a common threat to long-term tomato production that affects many
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …
Design and evaluation of a hybrid technique for detecting sunflower leaf disease using deep learning approach
Agriculture and plants, which are a component of a nation's internal economy, play an
important role in boosting the economy of that country. It becomes critical to preserve plants …
important role in boosting the economy of that country. It becomes critical to preserve plants …
Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud
MG Lanjewar, KG Panchbhai - Neural Computing and Applications, 2023 - Springer
Abstract Machine learning (ML) and cloud computing are modern and fast-growing areas
across all domains of applications. In agriculture, automated detection and diagnosis of …
across all domains of applications. In agriculture, automated detection and diagnosis of …