The Essential Oil of Petroselinum crispum (Mill) Fuss Seeds from Peru: Phytotoxic Activity and In Silico Evaluation on the Target Enzyme of the Glyphosate Herbicide DOI Creative Commons
Oscar Herrera-Calderón, Abdulrahman M. Saleh,

Ammar A. Razzak Mahmood

et al.

Plants, Journal Year: 2023, Volume and Issue: 12(12), P. 2288 - 2288

Published: June 12, 2023

Petroselinum crispum (Mill) Fuss is an aromatic plant belonging to the Apiaceae family and used in gastronomy as a spice. Several studies have been developed leaves but are limited seeds, especially essential oils obtained from seeds. The aim of this study was determine phytochemical profile volatile compounds oil by gas-chromatography-mass spectrometry (GC-MS) order evaluate its phytotoxic activity on Lactuca sativa seeds carry out silico analysis target enzyme herbicide glyphosate 5-enolpyruvylshikimate 3-phosphate synthase (EPSP). steam distillation for two hours then injected into GC-MS, assay carried evaluation EPSP focused similar glyphosate, docking analysis, molecular dynamics establish protein-ligand stability most active molecule. chromatographic revealed 47 compounds, predominated three with abundant percentage total content (1,3,8-ρ-menthatriene (22.59%); apiole (22.41%); β-phellandrene (15.02%)). demonstrated that had high at 5% against L. seed germination, inhibition root length, hypocotyl which comparable 2% glyphosate. trans-p-menth-6-en-2,8-diol affinity better during dynamic. According results, P. presented might be useful bioherbicide agent weeds.

Language: Английский

Role of Crop-Protection Technologies in Sustainable Agricultural Productivity and Management DOI Creative Commons
Stavros Kalogiannidis, Dimitrios Kalfas, Fotios Chatzitheodoridis

et al.

Land, Journal Year: 2022, Volume and Issue: 11(10), P. 1680 - 1680

Published: Sept. 28, 2022

After the Second World War, technological advancements helped to develop agriculture and meet urgent food needs. The green revolution was based on cultivation of new high-yielding varieties, adoption plant protection measures, synthetic fertilizer use. Today, is called upon recover its productivity in environmentally friendly terms face challenges such as climate change international political–military events that threaten global sufficiency agricultural products. objective study evaluate function crop-protection technologies play ensuring continuity output. research conducted by use a questionnaire sample 250 farmers Northern Greece. Specifically, through descriptive regression analysis, roles biological crop protection, chemical techniques, mechanical techniques were explored, it found they either have positive effect or significant relationship with sustainable productivity. In order current environmental, economic, political challenges, sector at local level should improve further adopt existing technologies, consolidate integrated pest-management strategies, fully introduce innovations, combined digital transformation, into management production.

Language: Английский

Citations

61

Fungi of the Trichoderma Genus: Future Perspectives of Benefits in Sustainable Agriculture DOI Creative Commons
Adrianna Kubiak, Agnieszka Wolna-Maruwka, Agnieszka A. Pilarska

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(11), P. 6434 - 6434

Published: May 24, 2023

The negative impact of chemical pesticides on the environment and human health has contributed to introduction legal regulations that ensure reduction in use agrochemicals favor biological products. existing review literature, including our research, clearly shows ideal biocontrol agents are Trichoderma fungi. production antibiotics, lytic enzymes degrading cell walls plant pathogens, or inducing a defense response plants just some features supporting wide these microorganisms sustainable agriculture. It is estimated currently about 60% biofungicides used eliminate fungal pathogens produced based sp. strains.

Language: Английский

Citations

37

A comprehensive survey on weed and crop classification using machine learning and deep learning DOI Creative Commons
Faisal Dharma Adhinata, Wahyono Wahyono, Raden Sumiharto

et al.

Artificial Intelligence in Agriculture, Journal Year: 2024, Volume and Issue: 13, P. 45 - 63

Published: June 26, 2024

Machine learning and deep are subsets of Artificial Intelligence that have revolutionized object detection classification in images or videos. This technology plays a crucial role facilitating the transition from conventional to precision agriculture, particularly context weed control. Precision which previously relied on manual efforts, has now embraced use smart devices for more efficient detection. However, several challenges associated with detection, including visual similarity between crop, occlusion lighting effects, as well need early-stage Therefore, this study aimed provide comprehensive review application both traditional machine learning, combination two methods, across different crop fields. The results show advantages disadvantages using learning. Generally, produced superior accuracy compared under various conditions. required selection right features achieve high classifying conditions consisting early growth effects. Moreover, precise segmentation stage would be cases occlusion. had advantage achieving real-time processing by producing smaller models than thereby eliminating additional GPUs. development GPU is currently rapid, so researchers often accurate identification.

Language: Английский

Citations

15

Herbicides use in crop production: An analysis of cost-benefit, non-target toxicities and environmental risks DOI
T. K. Das, Biswaranjan Behera, Chaitanya Prasad Nath

et al.

Crop Protection, Journal Year: 2024, Volume and Issue: 181, P. 106691 - 106691

Published: April 10, 2024

Language: Английский

Citations

11

Promising applications on the use of medicinal and aromatic plants in agriculture DOI Creative Commons

Eduardo Hernández-Bolaños,

Violeta Sánchez-Retuerta,

Luis Matías-Hernández

et al.

Discover Agriculture, Journal Year: 2025, Volume and Issue: 3(1)

Published: March 24, 2025

Language: Английский

Citations

1

Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks DOI Creative Commons
Hugo Moreno,

Adrià Gómez,

Sergio Altares-López

et al.

Computers and Electronics in Agriculture, Journal Year: 2023, Volume and Issue: 214, P. 108324 - 108324

Published: Oct. 21, 2023

Weeds challenge crops by competing for resources and spreading diseases, impacting crop yield quality. Effective weed detection can enhance herbicide application, thus reducing environmental health risks. A major in Site-Specific Weed Management (SSWM) is developing a reliable identification system, especially given the diversity similarity between certain weeds during early growth stages. Image-based deep learning (DL) methods have become vital classification. However, accurate classification using DL techniques face bottleneck of requiring large labeled data. Furthermore, labeling this specific extensive data time-consuming tedious task apart from necessitating science experts. This research's central focus to present novel approach convolutional neural network (CNN) classifiers, specifically Yolov8l RetinaNet, augmented with Stable Diffusion i.e., artificial images. enhanced training data, increasing classifiers' adaptability. The study targeted (Solanum nigrum L.; Portulaca oleracea Setaria Verticillata L.) found tomato crops, limited number real images (30 samples) produce CNNs. All validation test sets are comprised Results showed high performance when only terms Mean Average Precision (mAP). In isolated conditions (0.91 mAP), one species per image, an average gain about 3% all tests obtained. When adding ones (mixed dataset), mAP 0.99 contrast, results obtained 0.81 detecting more than single species. implementing trained CNNs mixed dataset, 6% − 9% was achieved cases. up 0.93 most challenging where could overlap. indicate that proposed outperformed existing methods, such as Generative Adversarial Networks (GANs) regarding mAP. model distinctly emerged favorable option real-time systems considering Frame Detection Speed (FDS). Specifically, registered FDS 10.2 ms, which considerably faster compared 21.2 ms RetinaNet exhibited. Additionally, method versatile applicable various species, thereby enhancing automated management systems. research illustrates efficiently expand small image sets, significantly field imaging. offers valuable insights future SSWM efforts utilizing artificially generated

Language: Английский

Citations

22

Nature-Based Herbicides and Micro-/Nanotechnology Fostering Sustainable Agriculture DOI
Estefânia Vangelie Ramos Campos, Jonathan Ratko, Ngangom Bidyarani

et al.

ACS Sustainable Chemistry & Engineering, Journal Year: 2023, Volume and Issue: 11(27), P. 9900 - 9917

Published: June 26, 2023

Bioherbicides, also known as nature-based herbicides, play a crucial role in sustainable agriculture by effectively inhibiting weed growth and development. They help increase crop productivity reducing competition between plants for nutrients, water, light. Their eco-friendly nature sets bioherbicides apart, promoting environmentally conscious farming practices. Despite their numerous benefits, many bioherbicide compounds are inherently unstable susceptible to environmental degradation temperature, light, humidity, microbial activity, thus posing challenges effective management. To address this issue, growing emphasis has been placed on encapsulation strategies recent years. Encapsulation techniques offer several advantages bioherbicides, including enhanced efficacy, biological compound release, factor protection, shelf life improvement. Polymers, particularly biopolymers, promising materials micro-/nanoparticles. These particles specifically designed the targeted delivery of ensuring protection Micro-/nanotechnology incorporation encapsulated formulation development revealed notable potential. This study focuses latest developments into micro-/nanoparticles practical application By leveraging micro-/nanotechnology, researchers aim maximize bioherbicidal paving way agricultural management The findings may serve reference expanding use micro-/nanotechnology-associated providing potential control solutions.

Language: Английский

Citations

17

Agricultural Pest Management: The Role of Microorganisms in Biopesticides and Soil Bioremediation DOI Creative Commons
Alane Beatriz Vermelho, Jean Vinícius Moreira, Ingrid Teixeira Akamine

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(19), P. 2762 - 2762

Published: Oct. 1, 2024

Pesticide use in crops is a severe problem some countries. Each country has its legislation for use, but they differ the degree of tolerance these broadly toxic products. Several synthetic pesticides can cause air, soil, and water pollution, contaminating human food chain other living beings. In addition, them accumulate environment an indeterminate amount time. The agriculture sector must guarantee healthy with sustainable production using environmentally friendly methods. this context, biological biopesticides from microbes plants are growing green solution segment. pests attack worldwide, including weeds, insects, nematodes, microorganisms such as fungi, bacteria, viruses, causing diseases economic losses. bioproducts microorganisms, microbial (MBPs) or alone, practice due to intense research world. Mainly, baculoviruses have been used sources biomolecules secondary metabolites biopesticide use. Different methods, direct soil application, spraying techniques endotherapy, seed treatment, used. Adjuvants like surfactants, protective agents, carriers improve system different formulations. tool bioremediation environment. This review summarizes topics, focusing on origin.

Language: Английский

Citations

8

Allelochemicals as biocontrol agents: Promising aspects, challenges and opportunities DOI

Shikha Arora,

Tajammul Husain,

S. M. Prasad

et al.

South African Journal of Botany, Journal Year: 2024, Volume and Issue: 166, P. 503 - 511

Published: Feb. 1, 2024

Language: Английский

Citations

5

Bio-Products Obtained from Broccoli and Cabbage Wastes Are Proposed as Functional Food Ingredients and Bioherbicides for Sustainable Weed Management DOI Open Access
Claudia Bas-Bellver, Nieves Melero-Carnero, David López-González

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 282 - 282

Published: Jan. 2, 2025

Developing processes that contribute to the valorization of vegetable wastes is great importance since these residues are characterized by being high quality, having a huge potential for valorization. However, upcycling vegetables and defining specific applications value-added products obtained might be challenge, they should tackled means different complementary innovations. In present study, broccoli white cabbage discards were transformed into powdered selected techniques conditions, which have been explored in agri-food sector. The brassica powders rich bioactive compounds such as phenolics isothiocyanates. Their antioxidant properties response vitro digestion evaluated assess functional food ingredients. On other hand, tested bioherbicides. For purpose, inhibition tests on weed germination growth weeds from agricultural soil seedbank species (Lolium rigidum, Papaver rhoeas, Portulaca oleracea, Echicnochloa crus-galli) performed under controlled greenhouse conditions. simulated studies demonstrated constituents progressively released during digestion, consequently, part them could finally absorbed and, thus, provide their beneficial effect. Brassica bioproducts significantly reduced seedbank, tested, namely L. P. E. crus-galli. Powders also showed negative effect root weight length dicotyledonous whereas stimulatory was observed spring–summer species, crus-galli oleracea. results this work extending range industrialization wastes.

Language: Английский

Citations

0