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Critical Success Factors for the Adoption of Decision Tools in IPM
The rational control of harmful organisms for plants (pests) forms the basis of the integrated pest management (IPM), and is fundamental for ensuring agricultural productivity while maintaining economic and environmental sustainability. The high level of
V. Rossi +4 more
semanticscholar +1 more source
Obstacles to Widespread Diffusion of IPM in Developing Countries: Lessons From the Field
Integrated pest management (IPM) is a way of managing agricultural pests using ecological principles and with minimum damage to the environment and human health.
J. Alwang, G. Norton, C. Larochelle
semanticscholar +1 more source
Agricultural Practice in Poland Before and After Mandatory IPM Implementation by the European Union
Integrated pest management (IPM), a worldwide agricultural strategy, contains methods to control or manage agricultural pests and diseases in a more efficient way, and consequently, to obtain better quality raw materials for food production.
Z. Sawińska +3 more
semanticscholar +1 more source
Intensive use of pesticides is among the main drivers of biodiversity loss, especially of insects. Here, field concentrations of chemical synthetic pesticides were measured in soil and carabid beetles in a vineyard (VP) and olive grove (OP), in two ...
Lucija ŠERIĆ JELASKA +3 more
doaj +1 more source
Aenasius bambawalei Hayat, 2009 is one of the most effective natural enemies of Phenacoccus solenopsis Tinsley, 1898. The sublethal effects of dimethoate, imidacloprid, and thiodicarb on the functional response of A.
Zeinab RAFATIAN +2 more
doaj +1 more source
IPM Toolkit Preservation [PDF]
AbstractIntegrated pest management (IPM) is a holistic approach that considers all farming practices and control tactics to discourage the development of economically damaging pest populations with a focus on preventing and managing pest populations as opposed to single interventions to eliminate pests once a problem has occurred.
openaire +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Blueberry IPM: Past Successes and Future Challenges.
Blueberry is a crop native to North America with expanding production and consumption worldwide. In the historical regions of production, integrated pest management (IPM) programs have been developed and provided effective control of key insect pests ...
C. Rodriguez-Saona +2 more
semanticscholar +1 more source
Performance Enhancement in Hafnium Oxide Through Homogeneous and Heterogeneous co‐Doping Strategies
This article presents a comprehensive co‐doping toolkit to optimize the performance and reliability of fluorite‐structure ferroelectrics like hafnium oxide. By employing homogeneous and heterogeneous co‐doping strategies, precise control over crystallization behavior, polarization hysteresis, and oxygen vacancy distribution is achieved.
Shouzhuo Yang +10 more
wiley +1 more source
Índice de Pobreza Multidimensional para Ecuador, período 2009- 2019.
El índice de pobreza multidimensional es un indicador que identifica a un conjunto de privaciones de derechos a los hogares vulnerables en cuatro dimensiones principales, donde refleja la proporción y el porcentaje promedio entor - no a su ...
Javier Israel Gaona Ordoñez +1 more
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