Insect pest monitoring with camera-equipped traps: strengths and limitations
M Preti, F Verheggen, S Angeli - Journal of pest science, 2021 - Springer
Integrated pest management relies on insect pest monitoring to support the decision of
counteracting a given level of infestation and to select the adequate control method. The …
counteracting a given level of infestation and to select the adequate control method. The …
[HTML][HTML] Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables: State of the art and perspectives
SCA Houetohossou, VR Houndji… - Artificial Intelligence in …, 2023 - Elsevier
Deep Learning (DL), a type of Machine Learning, has gained significant interest in many
fields, including agriculture. This paper aims to shed light on deep learning techniques used …
fields, including agriculture. This paper aims to shed light on deep learning techniques used …
A novel deep learning method for detection and classification of plant diseases
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …
country. However, plant diseases are the most significant impediment to the production and …
Automated wheat diseases classification framework using advanced machine learning technique
Around the world, agriculture is one of the important sectors of human life in terms of food,
business, and employment opportunities. In the farming field, wheat is the most farmed crop …
business, and employment opportunities. In the farming field, wheat is the most farmed crop …
An improved deep learning approach for localization and recognition of plant leaf diseases
A nation's economic progress is significantly influenced by its percentage of crop yields.
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition
Coffee is regarded as the highest consumed drink around the globe and has accounted as a
major source of income in the regions where it is cultivated. To meet the coffee …
major source of income in the regions where it is cultivated. To meet the coffee …
DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
Early recognition of tomato plant leaf diseases is mandatory to improve the food yield and
save agriculturalists from costly spray procedures. The correct and timely identification of …
save agriculturalists from costly spray procedures. The correct and timely identification of …
Estimation of cotton leaf area index (LAI) based on spectral transformation and vegetation index
Unmanned aerial vehicles (UAV) has been increasingly applied to crop growth monitoring
due to their advantages, such as their rapid and repetitive capture ability, high resolution …
due to their advantages, such as their rapid and repetitive capture ability, high resolution …
Research advancements in optical imaging and spectroscopic techniques for nondestructive detection of mold infection and mycotoxins in cereal grains and nuts
Cereal grains and nuts are represented as the economic backbone of many developed and
developing countries. Kernels of cereal grains and nuts are prone to mold infection under …
developing countries. Kernels of cereal grains and nuts are prone to mold infection under …
EfficientRMT-Net—An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases
The primary objective of this study is to develop an advanced, automated system for the
early detection and classification of leaf diseases in potato plants, which are among the most …
early detection and classification of leaf diseases in potato plants, which are among the most …