Promoting excellence or discouraging mediocrity – a policy framework assessment for precision agriculture technologies adoption

IF 5.4 2区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Precision Agriculture Pub Date : 2024-06-25 DOI:10.1007/s11119-024-10160-x

Georgios Kleftodimos, Leonidas Sotirios Kyrgiakos, Stelios Kartakis, Christina Kleisiari, Marios Vasileiou, Marios Dominikos Kremantzis, George Vlontzos

{"title":"Promoting excellence or discouraging mediocrity – a policy framework assessment for precision agriculture technologies adoption","authors":"Georgios Kleftodimos, Leonidas Sotirios Kyrgiakos, Stelios Kartakis, Christina Kleisiari, Marios Vasileiou, Marios Dominikos Kremantzis, George Vlontzos","doi":"10.1007/s11119-024-10160-x","DOIUrl":null,"url":null,"abstract":"<p>Precision Agriculture Technologies (PATs) are providing a great potential in alleviating adverse impacts arising from climate change. This study evaluates the decision-making process of farmers regarding the adoption and implementation of PATs in potato agricultural cooperative in Northern Greece. For this purpose, a bio-economic model utilizing mathematical programming techniques was designed and applied to three different farms producing Protected Geographical Indication (PGI) potato of Kato Nevrokopi. The proposed model aims to incorporate the existing management methods of farming systems and their associated characteristics. Its objective is to analyse the aspirations of farmers to adopt new practices, considering agronomic, environmental, and policy limitations. Special focus was paid to two distinct scenarios: (a) subsiding PATs adopters or (b) penalizing the non-adopters. Results indicated that subsidy provision 594–650€/ha would have a greater impact on PATs profitability. Lastly, based on the results, further explanations of incentives towards promoting the adoption of novel practices, ensuring the long-term viability of agricultural systems, are proposed.</p>","PeriodicalId":20423,"journal":{"name":"Precision Agriculture","volume":"54 1","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Precision Agriculture","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11119-024-10160-x","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Precision Agriculture Technologies (PATs) are providing a great potential in alleviating adverse impacts arising from climate change. This study evaluates the decision-making process of farmers regarding the adoption and implementation of PATs in potato agricultural cooperative in Northern Greece. For this purpose, a bio-economic model utilizing mathematical programming techniques was designed and applied to three different farms producing Protected Geographical Indication (PGI) potato of Kato Nevrokopi. The proposed model aims to incorporate the existing management methods of farming systems and their associated characteristics. Its objective is to analyse the aspirations of farmers to adopt new practices, considering agronomic, environmental, and policy limitations. Special focus was paid to two distinct scenarios: (a) subsiding PATs adopters or (b) penalizing the non-adopters. Results indicated that subsidy provision 594–650€/ha would have a greater impact on PATs profitability. Lastly, based on the results, further explanations of incentives towards promoting the adoption of novel practices, ensuring the long-term viability of agricultural systems, are proposed.

Abstract Image

查看原文本刊更多论文

促进优秀还是抑制平庸--精准农业技术采用的政策框架评估

精准农业技术（PATs）为减轻气候变化带来的不利影响提供了巨大潜力。本研究评估了希腊北部马铃薯农业合作社农民采用和实施精准农业技术的决策过程。为此，研究人员设计了一个利用数学编程技术的生物经济模型，并将其应用于三个不同的农场，这些农场均生产 Kato Nevrokopi 受保护地理标志 (PGI) 马铃薯。所提议的模型旨在纳入农业系统的现有管理方法及其相关特征。其目的是分析农民采用新做法的愿望，同时考虑到农艺、环境和政策限制。特别关注两种不同的情况：(a) 对采用《可持续农业技术》的农民提供补贴，或 (b) 对不采用《可持续农业技术》的农民进行惩罚。结果表明，594-650 欧元/公顷的补贴将对 "可喷灌技术 "的盈利能力产生更大的影响。最后，根据研究结果，对促进采用新做法的激励措施提出了进一步的解释，以确保农业系统的长期可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Precision Agriculture 农林科学-农业综合

CiteScore

12.30

自引率

8.10%

发文量

103

审稿时长

>24 weeks

期刊介绍： Precision Agriculture promotes the most innovative results coming from the research in the field of precision agriculture. It provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of precision farming. There are many topics in the field of precision agriculture; therefore, the topics that are addressed include, but are not limited to: Natural Resources Variability: Soil and landscape variability, digital elevation models, soil mapping, geostatistics, geographic information systems, microclimate, weather forecasting, remote sensing, management units, scale, etc. Managing Variability: Sampling techniques, site-specific nutrient and crop protection chemical recommendation, crop quality, tillage, seed density, seed variety, yield mapping, remote sensing, record keeping systems, data interpretation and use, crops (corn, wheat, sugar beets, potatoes, peanut, cotton, vegetables, etc.), management scale, etc. Engineering Technology: Computers, positioning systems, DGPS, machinery, tillage, planting, nutrient and crop protection implements, manure, irrigation, fertigation, yield monitor and mapping, soil physical and chemical characteristic sensors, weed/pest mapping, etc. Profitability: MEY, net returns, BMPs, optimum recommendations, crop quality, technology cost, sustainability, social impacts, marketing, cooperatives, farm scale, crop type, etc. Environment: Nutrient, crop protection chemicals, sediments, leaching, runoff, practices, field, watershed, on/off farm, artificial drainage, ground water, surface water, etc. Technology Transfer: Skill needs, education, training, outreach, methods, surveys, agri-business, producers, distance education, Internet, simulations models, decision support systems, expert systems, on-farm experimentation, partnerships, quality of rural life, etc.