Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques

YS Taspinar, M Dogan, I Cinar, R Kursun… - … Food Research and …, 2022 - Springer
There are many types of haricot beans, the nutrient consumed all over the world. Each type
differs in terms of features such as taste, size, economic value, etc. But even if they are …

Performance analysis of deep learning CNN models for variety classification in hazelnut

A Taner, YB Öztekin, H Duran - Sustainability, 2021 - mdpi.com
In evaluating agricultural products, knowing the specific product varieties is important for the
producer, the industrialist, and the consumer. Human labor is widely used in the …

ANN-based continual classification in agriculture

Y Li, X Chao - Agriculture, 2020 - mdpi.com
In the area of plant protection and precision farming, timely detection and classification of
plant diseases and crop pests play crucial roles in the management and decision-making …

Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato …

B Benmouna, R Pourdarbani, S Sabzi… - Remote Sensing, 2022 - mdpi.com
Tomato is an agricultural product of great economic importance because it is one of the most
consumed vegetables in the world. The most crucial chemical element for the growth and …

Early detection of excess nitrogen consumption in cucumber plants using hyperspectral imaging based on hybrid neural networks and the imperialist competitive …

S Sabzi, R Pourdarbani, MH Rohban, G García-Mateos… - Agronomy, 2021 - mdpi.com
To achieve healthy and optimal yields of agricultural products, the principles of nutrition must
be observed and appropriate fertilizers must be applied. Nutritional deficiencies or …

Study on the estimation of forest volume based on multi-source data

T Hu, Y Sun, W Jia, D Li, M Zou, M Zhang - Sensors, 2021 - mdpi.com
We performed a comparative analysis of the prediction accuracy of machine learning
methods and ordinary Kriging (OK) hybrid methods for forest volume models based on multi …

Detection of unripe kernels and foreign materials in chickpea mixtures using image processing

S Salam, K Kheiralipour, F Jian - Agriculture, 2022 - mdpi.com
The existence of dockage, unripe kernels, and foreign materials in chickpea mixtures is one
of the main concerns during chickpea storage and marketing. Novel algorithms based on …

Multi-block approach for the characterization and discrimination of Italian chickpeas landraces

M Foschi, A Biancolillo, F Marini, F Cosentino… - Food Control, 2024 - Elsevier
An untargeted characterization was carried out to attempt the geographical discrimination of
three high-valued Italian chickpeas (Cicer arietinum L.), harvested in 2019 in three …

基于无人机影像的可见光波段植被信息识别.

高永刚, 林悦欢, 温小乐, 简文彬… - Transactions of the …, 2020 - search.ebscohost.com
该文通过对6 种典型地物在无人机影像可见光波段的光谱特性分析, 提出一种基于红, 绿,
蓝波段的可见光植被指数—超绿红蓝差分指数EGRBDI (excess green-red-blue difference …

Characterization of high value Italian chickpeas (Cicer arietinum L.) by means of ICP-OES multi-elemental analysis coupled with chemometrics

F Di Donato, F Squeo, A Biancolillo, L Rossi… - Food Control, 2022 - Elsevier
Sixty samples of chickpea (Cicer arietinum L.) harvested in the Italian territories of Cicerale
(Campania), Valentano (Lazio) and Navelli (Abruzzo) in 2019 were characterized by …