|
|
|
Márcio Antônio Godoi Junior, Rebeca Soares da Silva, Rodrigo Nogueira de Sousa, Cleide Maria Ferreira Pinto, Wellington Souto Ribeiro and Kassio Ferreira Mendes
Yellow nutsedge (Cyperus esculentus L.) is cultivated worldwide due to its agricultural and biotechnological potential. In Brazil, it is considered a weed, and we lack studies on its cultivation. Overcoming tuber dormancy is crucial for propagation. This...
ver más
|
|
|
|
|
|
Rashmi Yadav, Susama Sudhishri, Manoj Khanna, Khajanchi Lal, Anchal Dass, Hari Lal Kushwaha, Kalikinkar Bandyopadhyay, Archna Suman, Anupama Singh, Rajiv Kumar Singh and Raj Singh
To achieve higher crop yields and maintain environmental conservation, it is imperative to adopt novel agricultural methods that improve both the quantity and quality of produce. The following study focused on investigating the effectiveness of integrate...
ver más
|
|
|
|
|
|
Yao Li, Jin Xie, Huitao Liu and Lipu Han
The alfalfa harvest time is determined by the alfalfa growth stage and the weather factors at that time, which will affect the yield and quality of the alfalfa hay. Addressing issues like the lack of precise harvesting timing and underutilized production...
ver más
|
|
|
|
|
|
Hao-Ran Qu and Wen-Hao Su
Weeds and crops engage in a relentless battle for the same resources, leading to potential reductions in crop yields and increased agricultural costs. Traditional methods of weed control, such as heavy herbicide use, come with the drawback of promoting w...
ver más
|
|
|
|
|
|
Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem and Nobuyuki Utsumi
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study?s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and broccoli gro...
ver más
|
|
|