# Crop Protection

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/crop-protection/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0261-2194 |
| ISSNs | 0261-2194,1873-6904 |
| OpenAlex ID | https://openalex.org/S98430239 |
| Publisher | Elsevier BV |

## Journal papers

- [Azospirillum lipoferum strain AL-3 reduces early blight disease of potato and enhance yield](https://scholariq.org/papers/azospirillum-lipoferum-strain-al-3-reduces-early-blight-disease-of-potato-and/)
- [Morphological and molecular characterization of Macrophomina phaseolina isolated from three legume crops and evaluation of mungbean genotypes for resistance to dry root rot](https://scholariq.org/papers/morphological-and-molecular-characterization-of-macrophomina-phaseolina-isolated/)
- [Development of a formulation of Trichoderma asperellum to control black rot disease on pineapple caused by (Thielaviopsis paradoxa)](https://scholariq.org/papers/development-of-a-formulation-of-trichoderma-asperellum-to-control-black-rot/)
- [Eradicating Bemisia tabaci Q biotype on poinsettia plants in the UK](https://scholariq.org/papers/eradicating-bemisia-tabaci-q-biotype-on-poinsettia-plants-in-the-uk/)
- [Control effect of fungicide pyraclostrobin alternately applied with Bordeaux mixture against apple Glomerella leaf spot and its residue after preharvest application in China](https://scholariq.org/papers/control-effect-of-fungicide-pyraclostrobin-alternately-applied-with-bordeaux/)
- [LSGNet: A lightweight convolutional neural network model for tomato disease identification](https://scholariq.org/papers/lsgnet-a-lightweight-convolutional-neural-network-model-for-tomato-disease/)
- [Key periods and effects of meteorological factors affecting incidence of wheat black point in the Yellow and Huai wheat area of China](https://scholariq.org/papers/key-periods-and-effects-of-meteorological-factors-affecting-incidence-of-wheat/)
- [Partial convolutional biformer: A transformer architecture for diagnosing crop diseases under complex backgrounds](https://scholariq.org/papers/partial-convolutional-biformer-a-transformer-architecture-for-diagnosing-crop/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.