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Agronomy, Volume 12, Issue 8

August 2022 - 253 articles

Cover Story: Insect pests cause considerable losses in agriculture across the planet. The rapid identification of these agents in specific maturity stages, such as early and adult stages, is a promising alternative for crop infestation management. Automatic recognition, using computer vision and machine learning techniques, is an innovative way that has shown high rates of correct answers in insect recognition. However, the algorithms typically require a large dataset for model training and relevant computational capacity. Few-shot learning, however, is a more suitable approach to handle insect classification using few data samples, and a promising alternative for on-site application in crops using embedded devices. View this paper
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Articles (253)

  • Article
  • Open Access
9 Citations
4,067 Views
20 Pages

20 August 2022

Extremely high air temperature at the heading stage of paddy rice causes a yield reduction due to the increasing spikelet sterility. Quantifying the damage to crops caused by high temperatures can lead to more accurate estimates of crop yields. The r...

  • Article
  • Open Access
16 Citations
3,634 Views
18 Pages

20 August 2022

The removal of chlorpyrifos (CLP) from the environment is a matter of general interest, because it is one of the most widely used insecticides in the world but presents a high toxicity and persistence in the environment. Biological strategies are con...

  • Article
  • Open Access
8 Citations
8,480 Views
11 Pages

Vernacular Names and Genetics of Cultivated Coffee (Coffea arabica) in Yemen

  • Christophe Montagnon,
  • Veronica Rossi,
  • Carolina Guercio and
  • Faris Sheibani

20 August 2022

While Ethiopia and South Sudan are the native habitats for Coffea arabica, Yemen is considered an important domestication center for this coffee species as most Arabica coffee grown around the world can be traced back to Yemen. Furthermore, climatic...

  • Article
  • Open Access
6 Citations
3,475 Views
20 Pages

20 August 2022

A molecular phylogenetic analysis of salt-tolerance-related genes was carried out using complete genome sequencing data available for 26 Sinorhizobium meliloti strains and for 25 bacterial strains belonging to 17 genera. It was revealed that the gene...

  • Article
  • Open Access
9 Citations
3,409 Views
16 Pages

20 August 2022

Screening and breeding elite varieties with rapid germination and uniform seedling emergence under low temperature is an effective strategy to deal with the cold climate occurring under late sowing conditions in the Yangtze River basin. This study fo...

  • Article
  • Open Access
11 Citations
3,299 Views
18 Pages

Vine Physiology, Yield Parameters and Berry Composition of Sangiovese Grape under Two Different Canopy Shapes and Irrigation Regimes

  • Gabriele Valentini,
  • Chiara Pastore,
  • Gianluca Allegro,
  • Riccardo Mazzoleni,
  • Fabio Chinnici and
  • Ilaria Filippetti

20 August 2022

Vitis vinifera L. adapts well to a scarce availability of water in the soil. However, in recent decades, the combination of thermal stress with prolonged water scarcity could have dramatic consequences on the vine’s physiological status. In thi...

  • Article
  • Open Access
2 Citations
3,800 Views
12 Pages

Diversity in Acidity between Core and Pulp of Asian Pear Fruit Is Mainly Regulated by the Collaborative Activity of PH8.1 and DIC2 Genes during Fruit Development

  • Shariq Mahmood Alam,
  • Dong-Hai Liu,
  • Muhammad Ateeq,
  • Han Han,
  • Huan Chen,
  • Muhammad Abbas Khan,
  • Yin Luo,
  • Xue-Ling Chen and
  • Yong-Zhong Liu

20 August 2022

The pear (Pyrus pyrifolia) is an important accessory fruit in which the pear core is tarter than the pear pulp. However, the reason for the acidic core and diversity in the taste of the same fruit is not clear. In this study, we observed that the cit...

  • Article
  • Open Access
4 Citations
2,580 Views
21 Pages

How Well Can Reflectance Spectroscopy Allocate Samples to Soil Fertility Classes?

  • Rong Zeng,
  • David G. Rossiter,
  • Jiapeng Zhang,
  • Kai Cai,
  • Weichang Gao,
  • Wenjie Pan,
  • Yuntao Zeng,
  • Chaoying Jiang and
  • Decheng Li

20 August 2022

Fertilization decisions depend on the measurement of a large set of soil fertility indicators, usually through laboratory determination, which is costly and time-consuming. Visible and near-infrared (vis-NIR) spectroscopy combined with machine learni...

  • Article
  • Open Access
3 Citations
3,074 Views
15 Pages

Machine Learning-Based Hyperspectral and RGB Discrimination of Three Polyphagous Fungi Species Grown on Culture Media

  • Jan Piekarczyk,
  • Andrzej Wójtowicz,
  • Marek Wójtowicz,
  • Jarosław Jasiewicz,
  • Katarzyna Sadowska,
  • Natalia Łukaszewska-Skrzypniak,
  • Ilona Świerczyńska and
  • Katarzyna Pieczul

20 August 2022

In this study, three fungi species (Botrytis cinerea, Rhizoctonia solani, Sclerotinia sclerotiorum) were discriminated using hyperspectral and red-green-blue (RGB) data and machine learning methods. The fungi were incubated at 25 °C for 10 days o...

  • Article
  • Open Access
9 Citations
2,688 Views
15 Pages

Comparing Selection Criteria to Select Grapevine Clones by Water Use Efficiency

  • Andreu Mairata,
  • Ignacio Tortosa,
  • Cyril Douthe,
  • José Mariano Escalona,
  • Alicia Pou and
  • Hipólito Medrano

19 August 2022

The current climate change is forcing growth-adapted genotypes with a higher water use efficiency (WUE). However, the evaluation of WUE is being made by different direct and indirect parameters such as the instantaneous leaf WUE (WUEi) and isotopic d...

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Agronomy - ISSN 2073-4395