Developing new sugarcane varieties suitable for mechanized production in China: principles, strategies and prospects

Y Que, Q Wu, H Zhang, J Luo, Y Zhang - Frontiers in Plant Science, 2024 - frontiersin.org
The sugar industry, which relates to people's livelihood, is strategic and fundamental in the
development of agricultural economy. In China, sugar derived from sugarcane accounts for …

[HTML][HTML] Advancing plant biology through deep learning-powered natural language processing

S Peng, L Rajjou - Plant Cell Reports, 2024 - Springer
The application of deep learning methods, specifically the utilization of Large Language
Models (LLMs), in the field of plant biology holds significant promise for generating novel …

[HTML][HTML] Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models

I Opasatian, T Ahamed - AgriEngineering, 2024 - mdpi.com
Weeds reduce cassava root yields and infest furrow areas quickly. The use of mechanical
weeders has been introduced in Thailand; however, manually aligning the weeders with …

[HTML][HTML] Computer-Aided Crop Yield Forecasting Techniques-Systematic Review Highlighting the Application of AI

R Pushpalatha, T Roshni, B Gangadharan… - … Modeling & Assessment, 2024 - Springer
Accurate yield forecasts can assist decision-makers in developing plans to bridge the food
demand gap in the context of changing climatic conditions. Literature shows a variety of …

Automatic plant phenotyping analysis of Melon (Cucumis melo L.) germplasm resources using deep learning methods and computer vision

S Xu, J Shen, Y Wei, Y Li, Y He, H Hu, X Feng - Plant Methods, 2024 - Springer
Cucumis melo L., commonly known as melon, is a crucial horticultural crop. The selection
and breeding of superior melon germplasm resources play a pivotal role in enhancing its …

[HTML][HTML] Development of Machine Learning Methods for Accurate Prediction of Plant Disease Resistance

Q Liu, S Zuo, S Peng, H Zhang, Y Peng, W Li, Y Xiong… - Engineering, 2024 - Elsevier
The traditional method of screening plants for disease resistance phenotype is both time-
consuming and costly. Genomic selection offers a potential solution to improve efficiency …

Fed-MPS: Federated learning with local differential privacy using model parameter selection for resource-constrained CPS

S Jiang, X Wang, Y Que, H Lin - Journal of Systems Architecture, 2024 - Elsevier
Abstract In Cyber-Physical Systems (CPS), distributed learning is essential for efficiently
handling complex tasks when sufficient resources are available. However, when resources …

Intelligent technologies and their transformative role in modern agriculture: A comparative approach

K Behera, A Babbar, RG Vyshnavi… - Environment …, 2024 - journal.environcj.in
The escalating global demand for food, propelled by a burgeoning population and the
unpredictable shifts in climatic conditions, presents a challenge that traditional plant …

High-throughput plant phenotyping analysis of Melon (Cucumis melo L.) germplasm resources using deep learning methods and computer vision

S Xu, J Shen, Y Wei, Y Li, Y He, H Hu, X Feng - 2024 - researchsquare.com
Cucumis melo L., commonly known as melon, is a crucial horticultural crop. The selection
and breeding of superior melon germplasm resources play a pivotal role in enhancing its …