IPMWorks H2020 No. 101000339 – IPM Resource Toolbox Survey raw data contains the anonymous responses of 113 agricultural stakeholders. Information on the country of residence, main crop of focus, their role in agriculture, whether or not they are directly responsible for IPM decision making on farm (if so, whether they currently implement IPM, where they get information about resources from, if they trust online resources, and whether they are working towards holistic IPM strategy), what they think an online IPM resource toolbox should be, the resources it should contain, and the preferred format of the toolbox and resources within it

Dataset for book Chapter: Effect of Climate Change on insect pest management, Book: Pest Management within the Environment eds Moshe Coll and Erik Wahnberg

2884306 Global exporters importers export import shipment records of Ipm with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

What is the DEB-IPM project about?

How can we predict how populations respond to the ever greater changes in their environment? Within this project, we want to know which characteristics of organisms relate to population responses to environmental change. One way to find out is to analyse life history patterns using demographic models. However, depending on whether you model individual life histories from phenomenological descriptions (Salguero-Gomez et al. 2016; Paniw et al. 2018; Capdevila et al 2020) or from mechanistic descriptions using energy budget models (Smallegange et al. in press; Smallegange & Berg 2019), different predictions are obtained.

The DEB-IPM project aims to (i) unravel if energy budget descriptions of individual life histories consistently return different predictions on population responses to environmental change compared to when individual life histories are represented by statistical functions, (ii) understand why that is the case, and (iii) identify the most accurate way to predict population responses to novel environmental change. To this end, we support Bachelor, Master and PhD student projects in which students answer their own research questions, while at the same time expanding the DEB-IPM database to ultimately conduct large, cross-taxonomical life history analyses.

This collection contains data collected in IPMWORKS farms with - Survey#1 (IPM awareness, IPM adoption, Rough estimate of pesticide use, and qualitative self-assessement) - Survey#2 (Details of cropping systems to compute indicatores of Pesticide use, Pesticide impact, and cost-efficiency) - Survey#3 (Qualitative assessements of progress made in IPM adoption during the course of the project)

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Abstract

The research of Integrated Pest Management in Bangladesh was carried out by the World Bank in the summer of 2003. Structured questionnaires were used to collect information on conventional and IPM farming techniques, pesticide use and practices, applicator precautions and damage-averting behavior, health effects and environmental impacts. The survey was designed and supervised by the World Bank team, and conducted by the Development Policy Group in Bangladesh. To minimize reporting bias, the survey was conducted under the agreement that the team would not reveal the identity of the farmers surveyed or the respondents who participated. To provide greater depth, 126 randomly selected rice farmers (102 land owners + 24 land owners cum field workers), who currently use IPM were also interviewed. An IPM farmer is identified as practicing any of the following methods: organic production; biological control; smoke; light traps; rotation of crops; manual clearing; and enemy plants to control pest attacks. Conventional farmers use none of these methods.

IPM farmers in districts with significant IPM participation were surveyed: Rajshahi and Rangpur in the Rajshahi division (Northwest), Comilla in Chittagong division (East), Jessore in Khulna division (West), and Kishoreganj in Dhaka division (North).

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

The Integrated Pest Information Platform for Extension and Education (iPiPE) provides an infrastructure with cyberage tools, information products and expert commentary for detection and management of pests that threaten U.S. crops. By categorizing pests, data, and users, it enables sharing observations while protecting privacy of individuals, companies, and government agencies. iPiPE Crop-Pest Programs incentivize growers and consultants to submit observations on important pests by providing tools and information for timely management decision-making. Coordinated by extension professionals from across the nation, programs address a variety of crops and pests and provide undergraduate students with hands-on extension and diagnostic experiences. Risk-based research directs in-field scouting for target pests. iPiPE pest observations are housed in a national pest observation repository to enable future research using geographically extensive, multi-year databases. Resources in this dataset:Resource Title: iPiPE. File Name: Web Page, url: http://www.ipipe.org/

To provide an online archive of daily information, with long-term data for NOAA climate stations

Stores both current and historical daily weather data for approximately 350 weather stations throughout California. It allows the user to: display daily data for one station, over a range of dates, request a data file for use with DDU (Degree-Day Utility), TRAP or CALEX, request a comma-delimited data file for use with spreadsheet software, or find out more about a station's characteristics.

Data can be searched online at: "http://axp.ipm.ucdavis.edu/WEATHER/wxretrieve.html"

County of Marin Integrated Pest Management conventional and organic pesticide use since 2018.

The work completed here assessed the repellency behavior of different essential oils on the red flour beetle, Tribolium castaneum. The goal was to understand how non-chemical and naturally occurring oils could serve as repellents to stored product insect pests, leading to lower risk integrated pest management techniques. The work assessed 15 different oils for initial repellency in a small wind tunnel assay and performed further repellency assays on 7 that showed some potential in repelling the insects. Other assays used on the 7 potential oils were a larger wind tunnel assay, a bin assay that assessed taxis to the oil, and an overall behavioral assay that assessed distance moved, speed, and angular turning in the presence of the oil. We found inconsistent results of repellency of these oils, but a significant impact of the oils and whether red flour beetles were by themselves or in groups. The data provided here detail proximity to the oil for the small and large wind tunnel and the bin assays as well as distance metrics as calculated by the behavioral tracking program Ethovision XT.Small wind tunnel data: treatment (oil or water), close = number of individuals close to the treatment, far = number of individuals far from the treatment, experiment = group or individual.Large wind tunnel data: treatment (oil or water), S = number of individuals at stimulus edge, NS = no response, A = Away from treatment, B = close to tunnel.Ethovision Data: rep = replicate beetle, all treatments are across the top, ethovision_output = identity of Ethovision calculation.Bin Taxis: Treatment = repellent oil present, close = near oil, far = away from oil, oil_pair = what the control was paired with (for oils it is just repeated), time = duration of exposure.

40837 Global import shipment records of Ipm with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Dataset from Andrew, N.R., Hill, S.J., accepted. Effect of climate change on insect pest management, in: Wajnberg, E., Coll, M. (Eds.), Pest Management within the Environment: Challenges for Agronomists, Ecologists, Economists and Policymakers. Wiley.

This data is for the task of named entity recognition and linking/disambiguation over tweets. It comprises the addition of an entity URI layer on top of an NER-annotated tweet dataset. The task is to detect entities and then provide a correct link to them in DBpedia, thus disambiguating otherwise ambiguous entity surface forms; for example, this means linking "Paris" to the correct instance of a city named that (e.g. Paris, France vs. Paris, Texas).

The data concentrates on ten types of named entities: company, facility, geographic location, movie, musical artist, person, product, sports team, TV show, and other.

The file is tab separated, in CoNLL format, with line breaks between tweets. Data preserves the tokenisation used in the Ritter datasets. PoS labels are not present for all tweets, but where they could be found in the Ritter data, they're given. In cases where a URI could not be agreed, or was not present in DBpedia, there is a NIL. See the paper for a full description of the methodology.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Draft 2010 Integrated Pest Management (IPM) Plan for controlling or eliminating exotic, invasive, or weed plants, mammals, fish, invertebrates, and algae affecting resources on Noxubee National Wildlife Refuge (NWR).

Integrated Pest management (IPM) of Insect Pests - Russian Wheat Aphid project: Evaluation of winter wheat for Russian wheat aphid resistance experiment 2000

This set of conservation biological control experiments data was collected as part of five field experiments investigating agricultural biological control techniques, particularly the effect of wild field margins on pests and predators. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Despite the widespread concerns regarding the use of pesticides in food production and the availability of potentially viable biological pest control strategies in Integrated Pest Management (IPM) systems, the UK cereal crop production remains a bastion of pesticide use. This project aimed to understand further the reasons for this lack of adoption, using the control of summer cereal aphids as a case study. Reasons for this lack of adoption of biocontrol remain a complex interplay of both technical and economic problems. Economists highlight the potential path dependency of an industry to continue to employ a suboptimal technology, caused by past dynamics of adoption resulting in differential private cost structures of each technique. Further, risk aversion on the part of farmers regarding the perceived efficacy of a new technology may also limit up-take. This may be particularly important when IPM rests on portfolios of technologies and when little scientific understanding exists on the effect of portfolio and scale of adoption on overall efficacy. Faced with this, farmers will not adopt a socially superior IPM technology and there exists a clear need for public policy action. This action may take the form of minimising uncertainty through carefully designed research programs, government funding and dissemination of the results of large-scale research studies or direct public support for farm landscape and farm system changes that can promote biocontrol. This research looked at alternatives to the use of insecticides in arable agriculture and the difficulties facing producers in switching over to them. Two approaches were explored: habitat manipulations, to encourage predators and parasites, and using naturally occurring odours to manipulate predator distribution as model technologies. Scale and portfolio effects on biocontrol efficacy have been investigated in controlled and field scale experiments. Aim is to improve the way research and development of new products and techniques are carried out to help break the dependence on chemical pesticides. 'Semiochemical experiment data, 2005-2009 - RELU Re-bugging the system: promoting adoption of alternative pest management strategies in field crop systems' from this same research project are also available. In addition, socio-economic research has been used to help direct natural science research into the development and evaluation of a combination of habitat management and semiochemical push-pull strategies of appropriate scale and complementarity to yield viable, commercially attractive and sustainable alternatives to the use of insecticides in cereal crop agriculture. These socio-economic data are available through the UK Data Archive under study number 6960 (see online resources). Further information and documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).