A comparative study of deep learning and Internet of Things for precision agriculture
Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …
Chest X-ray classification for the detection of COVID-19 using deep learning techniques
Recent technological developments pave the path for deep learning-based techniques to be
used in almost every domain of life. The precision of deep learning techniques make it …
used in almost every domain of life. The precision of deep learning techniques make it …
[HTML][HTML] Artificial intelligence tools for the agriculture value chain: Status and prospects
This article explores the transformative potential of artificial intelligence (AI) tools across the
agricultural value chain, highlighting their applications, benefits, challenges, and future …
agricultural value chain, highlighting their applications, benefits, challenges, and future …
An efficient approach for crops pests recognition and classification based on novel DeepPestNet deep learning model
Crop pests are to blame for significant economic, social, and environmental losses
worldwide. Various pests have different control strategies, and precisely identifying pests …
worldwide. Various pests have different control strategies, and precisely identifying pests …
Classification of citrus diseases using optimization deep learning approach
Most plant diseases have apparent signs, and today's recognized method is for an expert
plant pathologist to identify the disease by looking at infected plant leaves using a …
plant pathologist to identify the disease by looking at infected plant leaves using a …
Mango leaf disease recognition and classification using novel segmentation and vein pattern technique
R Saleem, JH Shah, M Sharif, M Yasmin, HS Yong… - Applied Sciences, 2021 - mdpi.com
Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to
gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as …
gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as …
YOLO-based light-weight deep learning models for insect detection system with field adaption
The most incredible diversity, abundance, spread, and adaptability in biology are found in
insects. The foundation of insect study and pest management is insect recognition. However …
insects. The foundation of insect study and pest management is insect recognition. However …
Automated fruit classification using enhanced tunicate swarm algorithm with fusion based deep learning
Automatic fruit classification is an interesting problem in retail supply chain processes and in
fruit industry, since the process can help the supermarkets as well as the fruit growers find …
fruit industry, since the process can help the supermarkets as well as the fruit growers find …
Palm tree disease detection and classification using residual network and transfer learning of inception ResNet
Agriculture has become an essential field of study and is considered a challenge for many
researchers in computer vision specialization. The early detection and classification of plant …
researchers in computer vision specialization. The early detection and classification of plant …
An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
M Prabu, BJ Chelliah - Pattern Analysis and Applications, 2023 - Springer
Leaf disease is considered a serious threat which affects agricultural productivity and
ultimately reduces the GDP of the Indian economy. The precise detection and timely …
ultimately reduces the GDP of the Indian economy. The precise detection and timely …