Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm by Milica Brkić, Stefan Hačko, Miloš Radovanović, Vladimir Crnojević, Sanja Brdar

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A Novel Hybrid Methodology Based on Transfer Learning, Machine Learning, and ReliefF for Chickpea Seed Variety Classification by İbrahim Kılıç, Nesibe Yalçın

“…This methodology combines three well-suited and robust components: feature extraction using three pre-trained models, feature selection with the ReliefF algorithm, and classification employing classical machine learning methods to enhance classification accuracy and efficiency. …”
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Research on Performance Predictive Model and Parameter Optimization of Pneumatic Drum Seed Metering Device Based on Backpropagation Neural Network by Yilong Pan, Yaxin Yu, Junwei Zhou, Wenbing Qin, Qiang Wang, Yinghao Wang

“…The MOPSO algorithm uses the BPNN predictive model as a fitness function to search for the optimal solution for three types of seeds, and the optimized results were verified through bench experiments. …”
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Artificial Neural Network Modeling of Drying Kinetics and Color Changes of Ginkgo Biloba Seeds during Microwave Drying Process by Jun-Wen Bai, Hong-Wei Xiao, Hai-Le Ma, Cun-Shan Zhou

“…Ginkgo biloba seeds were dried in microwave drier under different microwave powers (200, 280, 460, and 640 W) to determinate the drying kinetics and color changes during drying process. …”
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Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

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Algorithms in the orchard: An embedding-based expert answering system for apple rust by Astha Anand, Jian Shen, Armin Bernd Cremers, Marc Jacobs

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Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

“…At the optimized condition, the values of depth of base soil, the quantity of paddy seed, depth of topsoil, coefficient of base soil distribution uniformity, coefficient of paddy seed distribution uniformity, and coefficient of topsoil distribution uniformity were predicted as 15.97 mm, 143.73 g/tray, 3.41 mm, 97.53 %, 96.19 %, and 95.26 %, respectively by artificial neural network (ANN). …”
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Three-color single-molecule localization microscopy in chromatin by Nicolas Acosta, Ruyi Gong, Yuanzhe Su, Jane Frederick, Karla I. Medina, Wing Shun Li, Kiana Mohammadian, Luay Almassalha, Geng Wang, Vadim Backman

“…This protocol couples multiplexed localization datasets with a robust analysis algorithm, which utilizes localizations from one target as seed points for distance, density and multi-label joint affinity measurements to explore complex organization of all three targets. …”
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An adaptive differential evolution algorithm based on adaptive evolution strategy and diversity enhancement by Shengke Lin, Huarong Xu

“…Differential Evolution (DE) is a widely used and highly effective heuristic global optimization algorithm, but it often stagnates in the later stages of evolution due to a sudden drop in population diversity. …”
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IMPROVING AGRICULTURAL YIELDS IN THE DEMOCRATIC REPUBLIC OF CONGO USING MACHINE LEARNING ALGORITHMS by Rodolphe Nsimba Malumba, Mardochee Longo Kayembe, Fiston Chrisnovic Balanganayi Kabutakapua, Bopatriciat Boluma Mangata, Trésor MAZAMBI KILONGO, Rufin Tabiaki Tandele, Emmanuel Ntanyungu Ndizieye, Parfum Bukanga Christian

“…The performance of the algorithms is measured using metrics such as MSE, MAE, RMSE, R² Score and MAPE on three separate case studies (Farm A, Farm B and Farm C). …”
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Approach for identifying crop seeds with similar appearances using hyperspectral images and improved ResNet 18 based on cloud platform by Hui Li, Xuliang Duan

“…The improved ResNet18 was deployed on Alibaba Cloud ESC server with uWSGI, Nginx and flask to achieve high concurrency and fast recognition. For single‐variety seed identification, the average time reduced to 0.56 s, with an 87% decrease and accuracy is 96.3%. …”
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Research on International Law Data Integrity Guarantee Based on Antiterrorism Prediction Algorithm by Huang Ru Qing

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Defect identification of fan blade based on adaptive parameter region growth algorithm by Wang Yifan, Wang Xueyao, Yang Dongmei, Ru Xinqin, Zhang Yuxin

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Does the implementation of Automatic Individual Tree Crown Delineation (ITCD) impact the early detection of bark beetle (BB) infestation in Norway spruce forests? by S. Bijou, L. Kupková, L. Červená, J. Lysák

“…The findings revealed that the 3-meter fixed window filter effectively detected treetops but encountered challenges with double detections and missing smaller trees. …”
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Evaluation and prediction of the physical properties and quality of Jatobá-do-Cerrado seeds processed and stored in different conditions using machine learning models by Daniel Fernando Figueiredo Spengler, Paulo Carteri Coradi, Dágila Melo Rodrigues, Izabela Cristina de Oliveira, Dalmo Paim de Oliveira, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro

“…Data were analyzed on Weka software (Waikato Environment for Knowledge Analysis) version 3.9.5. testing the following models: Pearson correlation, Artificial Neural Networks, decision tree algorithms RepTree and M5P, Random Forest, and Linear Regression. …”
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Compression Sensing Satellite Image Pixel Scrambling Scheme using Unique Seed Generation for Intra-Block Confusion with LP Rotation Mechanism by Ram Chandra Barik, Devendra Kumar Yadav, Pragyan Mishra

“…This paper introduces a versatile scheme for the compression and encryption of satellite images, structured in three distinct phases. In the first phase, satellite images are divided into blocks, generating unique initial conditions (seeds) for each block as security keys using the chaotic Sin map. …”
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Multimodal Medical Image Protection Algorithm Based on Genetic Coding and Coupled Hyperchaotic Mapping by CHANG Ruiyun, FENG Xiufang, ZHANG Hao

“…[Methods] In the stage of chaotic sequence generation, the CMC-CTBCS coupling model was proposed, and the three-dimensional Sine-ICMIC cascade mapping (3D-SICM) was constructed with Sine mapping (Sine) and iterative chaotic map with infinite collapses (ICMIC) as seed mapping, which was applied for the design of multimodal medical image encryption. …”
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A Real-Time Lane Detection Algorithm Based on Intelligent CCD Parameters Regulation by Ping-shu Ge, Lie Guo, Guo-kai Xu, Rong-hui Zhang, Tao Zhang

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Design of netted muskmelon digital twin growth model based on HMM+LSTM algorithm by LU Peng, LIU Mingtang, WU Shanshan, LI Bin, LI Shihao, WANG Changchun, YANG Yangrui, JIANG Enhui

“…The digital twin model was developed using 3ds Max for 3D modeling and Unity 3D for visualization, while the growth prediction model was built by integrating Hidden Markov Model (HMM) and Long Short-Term Memory (LSTM) algorithms. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…Significant differences in cone production were observed between the plus trees (P<0.01). A production population of 20 individuals was constructed via the simulated annealing algorithm, which exhibited a more reasonable mating system (F=−0.028) and demonstrated superior cone production compared with that of the plus tree population, with an increase of 79.6%. …”
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