'Equitable remuneration' for non-licensed propagation of agricultural plant varieties

2006 ◽  
Vol 1 (10) ◽  
pp. 642-644
Author(s):  
G. Wurtenberger
Keyword(s):  
Agricultural Plant ◽  
Equitable Remuneration

Multiplex in silico RAPD-analysis of several related plants with different genome sizes and prospects for this approach for DNA-cataloguing of agricultural plant varieties

Biomics ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 194-210
Author(s):  
O.Yu. Kiryanova ◽  
B.R. Kuluev ◽  
A.R. Kuluev ◽  
I.S. Mardanshin ◽  
I.M. Gubaydullin ◽  
...  
Keyword(s):  
In Silico ◽  
Rapd Analysis ◽  
Agricultural Plant

scholarly journals Improved Q-Learning Algorithm Based on Approximate State Matching in Agricultural Plant Protection Environment

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 737
Author(s):  
Fengjie Sun ◽  
Xianchang Wang ◽  
Rui Zhang
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Optimal Policy ◽  
Feasible Solution ◽  
Learning Algorithm ◽  
Plant Protection ◽  
Agricultural Plant ◽  
Q Learning ◽  
Aerial Vehicle ◽  
Optimal Action

An Unmanned Aerial Vehicle (UAV) can greatly reduce manpower in the agricultural plant protection such as watering, sowing, and pesticide spraying. It is essential to develop a Decision-making Support System (DSS) for UAVs to help them choose the correct action in states according to the policy. In an unknown environment, the method of formulating rules for UAVs to help them choose actions is not applicable, and it is a feasible solution to obtain the optimal policy through reinforcement learning. However, experiments show that the existing reinforcement learning algorithms cannot get the optimal policy for a UAV in the agricultural plant protection environment. In this work we propose an improved Q-learning algorithm based on similar state matching, and we prove theoretically that there has a greater probability for UAV choosing the optimal action according to the policy learned by the algorithm we proposed than the classic Q-learning algorithm in the agricultural plant protection environment. This proposed algorithm is implemented and tested on datasets that are evenly distributed based on real UAV parameters and real farm information. The performance evaluation of the algorithm is discussed in detail. Experimental results show that the algorithm we proposed can efficiently learn the optimal policy for UAVs in the agricultural plant protection environment.

Green synthesis of Spirulina-based carbon dots for stimulating agricultural plant growth

2021 ◽  
pp. e00347
Author(s):  
Lucas Dall Agnol ◽  
Roberta Motta Neves ◽  
Marcelo Maraschin ◽  
Sidnei Moura ◽  
Heitor Luiz Ornaghi ◽  
...  
Keyword(s):  
Plant Growth ◽  
Green Synthesis ◽  
Carbon Dots ◽  
Agricultural Plant

scholarly journals Synthesis, Characterization, and Agricultural Biological Activities of 5-Fluoro-2-hydroxy Butyrophenone

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Fengli Xin ◽  
Chunhua Du ◽  
Gongjia Lan ◽  
Zhuanping Wu
Keyword(s):  
Lactuca Sativa ◽  
Biological Activities ◽  
Raw Material ◽  
Synthetic Approach ◽  
Target Compound ◽  
Echinochloa Crusgalli ◽  
Agricultural Plant ◽  
H Nmr ◽  
Valsa Mali ◽  
C Nmr

A novel synthetic approach towards 5-fluoro-2-hydroxy butyrophenone is reported. Using 4-fluorophenol as a raw material, the processes of etherification protection, Friedel-Crafts acylation and demethylation provide the target compound under mild conditions. The structure was characterized by the melting point and IR, MS,1H-NMR, and13C-NMR spectroscopy. The bioassay results indicate that the target compound exhibits potent antifungal activities againstValsa mali,Coniella dipodiella, and other agricultural plant fungi. The target compound also shows potent herbicidal activities forLactuca sativa, a dicotyledon, andEchinochloa crus-galli, a monocotyledon. The toxicity regression C50values of the compound againstValsa mali,Coniothyrium diplodiella,Lactuca sativaseedling, andEchinochloa crusgalliseedling were calculated by SPSS. The Hormesis effect for roots ofEchinochloa crusgalliwas confirmed.

scholarly journals Extraction and refinement of agricultural plant fibers for composites manufacturing

2018 ◽  
Vol 21 (9) ◽  
pp. 897-906 ◽  
Author(s):  
Glenn Bousfield ◽  
Sophie Morin ◽  
Nicolas Jacquet ◽  
Aurore Richel
Keyword(s):  
Plant Fibers ◽  
Agricultural Plant ◽  
Composites Manufacturing
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