Results 81 to 90 of about 3,356 (285)

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source

Key Technologies and Construction model for Unmanned Smart Farms: Taking the "1.5-Ton Grain per Mu" Unmanned Farm as An Example

智慧农业
[Objective]As a key model of smart agriculture, the unmanned smart farm aims to develop a highly intelligent and automated system for high grain yields.
LIU lining, ZHANG Hongqi, ZHANG Ziwen, ZHANG Zhenghui, WANG Jiayu, LI Xuanxuan, ZHU Ke, LIU Pingzeng   +7 more
doaj   +1 more source

Bias‐Tunable Two‐Terminal Organic Photodetector for Intelligent Imaging

Advanced Science, EarlyView.
A vertically stacked two‐terminal photodetector with a symmetric donor–acceptor–donor trilayer active exhibits reconfigurable photoresponse with bias‐tunable magnitude and polarity, together with sub‐millisecond response speed and a wide tunable output window.
Sangin Hahn, Sanghoon Park, Seunghyup Yoo   +2 more
wiley   +1 more source

From Defense Executor to Engineering Target: Harnessing Lignin for Crop Resistance

Advanced Science, EarlyView.
Lignin serves as both a physical and chemical executor of broad‐spectrum plant immunity. This review systematically summarizes classical and recent advances in lignin‐mediated immunity, outlines the multifaceted regulatory modules controlling lignification under biotic stress, discusses key physiological and biochemical mechanisms behind lignin‐based ...
Yanwen Yu, Ke Wang, Huachuan Tuo, Jiankun Li, Liping Xu, Chang‐Jun Liu, Mingyue Gou   +6 more
wiley   +1 more source

Progress in Agricultural Unmanned Aerial Vehicles (UAVs) Applied in China and Prospects for Poland

, 2022
With the acceleration of the Belt and Road Initiative, Poland–China agricultural trade has increasingly strengthened, but there is little exchange or cooperation in agricultural machinery. China’s agricultural UAV industry has flourished over
Wanjian Li, Kangting Yan, Yali Zhang, Yubin Lan, Xinrong Huang, Yifang Han, Lucjan Pawlowski, Linlin Wang   +7 more
core   +1 more source

Design and Testing of a Soil-Removal Device for Peanut Harvesting in Saline–Alkali Soils: Using a Squeezing and Rubbing Method

Agriculture
In response to the pressing issues of unclear adhesion mechanisms during the soil-removal process in peanut harvesting, poor soil fragmentation quality, and difficulties in separating the pods from the soil.
Zengcun Chang, Dongwei Wang, Yu Tian, Xu Li, Baiqiang Zuo, Haipeng Yan, Jiayou Zhang, Jialin Hou, Dongjie Li   +8 more
doaj   +1 more source

Breaking the Trade‐Off of Mechanical Robustness and Energy Storage Capacity in Phase Change Materials Through a Molecular Design Strategy of Hard‐Segment‐Anchored/Side‐Chain‐Storage

Advanced Science, EarlyView.
To decouple mechanical robustness and energy storage capacity in phase change materials (PCMs), a series of polyurethane‐based PCMs bearing crystallizable alkyl side chains are synthesized via a hard‐segment‐anchored/side‐chain‐storage molecular design.
Huizhou Luo, Hebo Shi, Jun Zhang, Henghui Deng, Yongyin Zhu, Zehong Chen, Chaoqun Zhang   +6 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

CONCEPTUAL PRINCIPLES OF INTELLIGENT AGRICULTURAL MACHINES IN THE CASE OF COMBINE HARVESTER

, 2017
Monitoring of different ways to increase the productivity of agricultural machinery under development of intelligent agricultural  production shown that traditional directions of increasing the  concentration of energy, sizes of working elements and ...
Z. A. Godzhaev, S. N. Florentsev, E. V. Zhalnin   +2 more
core   +2 more sources

Development of a Cutting–Extrusion Soil-Crushing Model for Peanut Harvesting and Optimization of Key Components

Agriculture
This study aims to address the major challenges encountered during peanut harvesting and digging in saline–alkali soils, including high digging resistance, poor soil fragmentation, and difficulty separating pods from the soil.
Zengcun Chang, Yu Tian, Dongjie Li, Jiayou Zhang, Haipeng Yan, Dongwei Wang, Jialin Hou   +6 more
doaj   +1 more source