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Academic literature on the topic 'Crop advisor'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 June 2024

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Journal articles on the topic "Crop advisor"

1

Veenadhari, Dr S. "Crop Advisor: A Software Tool for Forecasting Paddy Yield." Bonfring International Journal of Data Mining 6, no. 3 (2016): 34–38. http://dx.doi.org/10.9756/bijdm.10461.

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2

Weckesser, Fabian, Michael Beck, Kurt-Jürgen Hülsbergen, and Sebastian Peisl. "A Digital Advisor Twin for Crop Nitrogen Management." Agriculture 12, no. 2 (2022): 302. http://dx.doi.org/10.3390/agriculture12020302.

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Farmers and consultants face an unmanageable amount of diverse knowledge and information for crop management decisions. To determine optimal actions, decision makers require knowledge-based support. In this way, decisions can be improved and heuristics can be replaced over time. The study presents a digital knowledge base with an integrated decision support system (DSS), using the example of nutrient supply, specifically nitrogen (N), fertilization. Therefore, the requirements of farmers and crop consultants for DSS to inform fertilization decisions for winter wheat (Triticum aestivum L.) were elaborated using surveys, expert interviews, and a prototype test. Semantic knowledge was enriched by expert knowledge and combined in a web application, the Crop Portal. To map regional and personal decision making patterns and experiences, the tacit knowledge on the complex advisory problem of N fertilization is made digitally usable. For this purpose, 16 fuzzy variables were specified and formalized. Individual decision trees and their interactions with an integrative knowledge base were used to multiply the consulting reach of experts. Using three consultants and nine model farms from different soil–climate areas in Germany, the Crop Portal was tested under practical conditions and the perceived pragmatic and hedonic quality of the system was evaluated using a standardized questionnaire. The field test showed that the variation in fertilizer recommendations from the ‘digital advisor twin’ ranged from 5 kg N ha−1 to 16 kg N ha−1 when compared with the decisions of the experts in the field. The study presents the participatory development and evaluation of a rule-based DSS prototype in agricultural practice.
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Mirás-Avalos, José, José Rubio-Asensio, Juan Ramírez-Cuesta, José Maestre-Valero, and Diego Intrigliolo. "Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops." Water 11, no. 11 (2019): 2245. http://dx.doi.org/10.3390/w11112245.

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Climate change will intensify water scarcity, and therefore irrigation must be adapted to save water. Operational tools that provide watering recommendations to end-users are needed. This work presents a new tool, Irrigation-Advisor (IA), which is based on weather forecasts and is able to separately determine soil evaporation and crop transpiration, and thus is adaptable to a broad range of agricultural situations. By calculating several statistical indicators, IA was tested against the FAO-56 crop evapotranspiration (ETcFAO) methodology using local crop coefficients. Additionally, IA recommendations were compared with current standard practices by experienced farmers (F). Six field experiments with four widely cultivated species (endive, lettuce, muskmelon and potato) were performed in Southeast Spain. Irrigation water applied, crop yield, aboveground biomass and water productivity were determined. Crop water needs underestimations (5%–20%) were detected when comparing IA against ETcFAO, although the index of agreement proved reasonable adjustments. The IA recommendations led to water savings up to 13% when compared to F, except for lettuce, with a 31% surplus in irrigation when using IA. Crop yield was not compromised and water productivity was increased by IA. Therefore, IA mimicked the farmers′ irrigation strategies fairly well without deploying sensors on-site. Nevertheless, improvements are needed for increasing the accuracy of IA estimations.
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Whitehair, Rachael, Nancy Grudens-Schuck, and Lisa A. Schulte. "Program Evaluation of a Workshop on Prairie Strips for Farm Advisors: Framing the Co-Occurring Outcomes of Low Knowledge Acquisition and High Confidence." Horticulturae 8, no. 12 (2022): 1215. http://dx.doi.org/10.3390/horticulturae8121215.

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The agricultural conservation practice of prairie strips is new and novel. Prairie strips planted in row crop fields warrants greater adoption because the application decreases erosion; protects water quality; and supports habitat for wildlife and biodiversity, including pollinators. Prairie strips are a vegetative practice composed of diverse, native, and mostly perennial species that, as a community, follow principles of ecological succession; however, they must be managed for success. Farm advisor comprehension of practice characteristics is key for adoption by producers and landowners. This article reports on a developmental evaluation of workshops intended to change farm advisor knowledge, skills, and confidence related to prairie strips management for use in consulting with farmers and landowners. The study used pre-post instruments of knowledge and skill focused on prairie species identification and age of prairie strips planing; pre-then post-end of session questions were asked in a survey to report change in knowledge, skill, and confidence, as well as farm advisor situation. Advisors reported increased confidence, but acquisition of prairie knowledge and skills resulted in flat to lower scores. The paper explores the discrepancy of lower cognitive scores (knowledge and skills) compared to higher confidence. Explanations explore the phenomena of satisficing and perceived self-efficacy to explain the differential.
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5

BHANU, CHANDRA, N. RAVISANKAR, P. C. GHASAL, et al. "Knowledge based assessment of trained certified farm advisors (CFA) on organic farming." Indian Journal of Agricultural Sciences 92, no. 1 (2022): 85–89. http://dx.doi.org/10.56093/ijas.v92i1.120845.

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An inter-organizational certificate course i.e. Certified Farm Advisor (CFA) in Organic Farming was jointly organized by National Institute of Agricultural Extension Management (MANAGE), Hyderabad and ICAR-Indian Institute of Farming Systems Research, Modipuram, Meerut during 2019. The objective of this certificate course was to create a cadre of “Certified Farm Advisors” in appropriate technologies of organic farming and enable them to deliver effective “Technical Advisory Services” and thereby solving the field level problems faced by the organic farmers/entrepreneurs/startups or other related stakeholders. A 15 days CFA module II was organized at ICAR- Indian Institute of Farming Systems Research, Modipuram, Meerut in two batches with 50 trainees from 15 different states and union territories. In the present study, the learning, knowledge and skill levels of the participants were analyzed. Multiple regression analysis showed that, gender, service experience and serving region significantly affected the learning ability of trainees. There was significant improvement in the knowledge and skill of trainees in various aspects of organic farming, viz. organic standards, certification and marketing network (study area A); technology package (study area B) and general knowledge (study area C). Based on the training effectiveness scores (TES), maximum improvement was observed with general knowledge of organic farming with 103.73% improvement. However, study area A and B exhibited 45.41% and 34.88% improvement, respectively. Further, the success of this inter-organizational training programme could serve as a model for streamlining HRD programmes on organic farming in the country.
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6

Warnert, Jeannette. "Q & A: Harry Agamalian, Monterey County farm advisor." California Agriculture 50, no. 6 (1996): 32–33. http://dx.doi.org/10.3733/ca.v050n06p32.

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7

Neeser, Christophe, J. Anita Dille, Gopal Krishnan, et al. "WeedSOFT®: a weed management decision support system." Weed Science 52, no. 1 (2004): 115–22. http://dx.doi.org/10.1614/p2002-154.

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WeedSOFT® is a decision support system that was developed to help farmers and consultants in Nebraska with the selection of optimal weed management strategies. WeedSOFT® evolved from HERB, a bioeconomic model for soybean that was developed in North Carolina. The program is composed of four independent modules, namely, ADVISOR, EnviroFX, MapVIEW, and WeedVIEW. ADVISOR helps the user select a treatment based on maximum yield or maximum net gain. EnviroFX and MapVIEW provide environmentally relevant herbicide information and county soil maps that indicate vulnerability to groundwater contamination. WeedVIEW is a visual library of color images and line drawings of 46 common weed species. Over 500 farmers and consultants in Nebraska and adjacent states use WeedSOFT®. As a result of the current regionalization effort, the user base is expected to increase rapidly during the next 2 or 3 yr. This article explains the algorithms implemented in the current version of WeedSOFT®.
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8

Flinn, P. W., D. W. Hagstrum, C. R. Reed, and T. W. Phillips. "Stored Grain Advisor Pro: Decision support system for insect management in commercial grain elevators." Journal of Stored Products Research 43, no. 4 (2007): 375–83. http://dx.doi.org/10.1016/j.jspr.2006.09.004.

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9

Pradhan, Swati Swayamprabha, Sudhanshu Verma, and Pooja. "Impact of Agro-Meteorological Advisory Services in Wheat Crop of Kushinagar District in Uttar Pradesh." International Journal of Environment and Climate Change 13, no. 4 (2023): 198–202. http://dx.doi.org/10.9734/ijecc/2023/v13i41727.

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A study was conducted in April 2020 to assess the impact and usefulness of agrometeorological Advisory Services in increasing the production of wheat crops under DAMU KVK, Kushinagar. The two villages were selected for this study, and two groups of farmers were selected, namely, a group adopting the agrometeorological Advisories (50 farmers), regularly in their operations (AAS Farmers), and another group of farmers not aware of the agrometeorological Advisories (Non AAS Farmers) during the rabi season. The data were recorded from both the farmer groups, particularly on crop expenditure incurred by the farmers from land preparation to harvest at every stage, and crop growth and yields were observed regularly. The impact assessment was based on feedback that indicated a significant impact in terms of the use of the agrometeorological Advisory Service by farmers. The assessment study indicated that the farmers who adopted agrometeorological advisory services on a real time basis obtained a 28% higher net return in wheat crops compared to Non-AAS farmers who benefited from timely agricultural operations, timely rainfall forecasting, recommended doses of fertilisers, efficient irrigation management, and standard plant protection majors in a required base manner during the crop growing period, as advised in biweekly bulletins. AAS farmers benefited from the timely application of fertilizers, timely and accurate weather forecasting, and timely agricultural operations to obtain a better yield in wheat crop as compared to Non-AAS farmers. Agrometeorological Advisory Services (AAS) might be used to be helpful to the farmers in managing changing weather, resulting in decreased input costs in agriculture and profitable agricultural production by adopting of weather based agrometeorological Advisory.
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10

Bohning, Mark A., and Allan K. Stoner. "CROP ADVISORY COMMITTEES: AN ADVISORY COMPONENT OF THE NATIONAL PLANT GERMPLASM SYSTEM." HortScience 27, no. 6 (1992): 647a—647. http://dx.doi.org/10.21273/hortsci.27.6.647a.

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The United States' National Plant Germplasm System (NPGS) is responsible for the acquisition, preservation, evaluation and distribution of plant genetic resources in the form of seed and clonal germplasm. In order to operate more effectively, the NPGS established a network of 40 Crop Advisory Committees (CACs) to provide analysis, data, and advice about germplasm within a crop or group of related crops of current or future economic importance. CACs are composed of Federal, State and industry scientists representing a variety of agricultural disciplines and geographic areas of importance to the crop. The committees are involved in a variety of activities including: 1) Developing crop descriptors for the collection of standardized characteristic and evaluation data, 2) Determining priorities for germplasm acquisition, evaluation and enhancement, 3) Advising curators on maintenance techniques, and 4) Developing special reports on the status of genetic resources for their crop(s). Twenty-four of the CACs are concerned with horticultural crops.
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