Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?

Evert, F.K. van; Gaitán‐Cremaschi, Daniel; Fountas, Spyros; Kempenaar, C.

doi:10.3390/su9101863

Cited by 71 publications

(50 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These percentages are the estimations provided by two of the producers whose fields participate in the pilot study. The estimations show that on average the farmers calculate an increase of around 20% in production, this percentage is in accordance to other types of cultivations such as olives and potatoes [54].…”

Section: Benefits and Costssupporting

confidence: 64%

Precision Agriculture: A Remote Sensing Monitoring System Architecture

2019

View full text Add to dashboard Cite

Smart Farming is a development that emphasizes on the use of modern technologies in the cyber-physical field management cycle. Technologies such as the Internet of Things (IoT) and Cloud Computing have accelerated the digital transformation of the conventional agricultural practices promising increased production rate and product quality. The adoption of smart farming though is hampered because of the lack of models providing guidance to practitioners regarding the necessary components that constitute IoT-based monitoring systems. To guide the process of designing and implementing Smart farming monitoring systems, in this paper we propose a generic reference architecture model, taking also into consideration a very important non-functional requirement, the energy consumption restriction. Moreover, we present and discuss the technologies that incorporate the seven layers of the architecture model that are the Sensor Layer, the Link Layer, the Encapsulation Layer, the Middleware Layer, the Configuration Layer, the Management Layer and the Application Layer. Furthermore, the proposed Reference Architecture model is exemplified in a real-world application for surveying Saffron agriculture in Kozani, Greece.

show abstract

Section: Benefits and Costssupporting

confidence: 64%

Precision Agriculture: A Remote Sensing Monitoring System Architecture

2019

View full text Add to dashboard Cite

show abstract

“…These weighing factors reflect implicit and complicated trade-offs between sustainability issues that are not normally in decision makers' mindsets, e.g., greenhouse gas emissions versus profitability [16,17]. To overcome these difficulties, several authors have proposed using a single metric, namely monetary value, to express the performance on the different aspects of sustainability [18][19][20][21][22]. We follow this approach and propose using an integrated sustainability performance measure labelled social profit, that is, the profit of the farm system (revenues minus production costs) adjusted for the external costs of production (environmental and social dimensions of sustainability) [17,21,23].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Sustainability Performance of Coffee Farms in Vietnam: A Social Profit Inefficiency Approach

et al. 2018

Self Cite

View full text Add to dashboard Cite

If we aim to increase the sustainability of farming, we must be able to measure the sustainability of individual farms and relate this sustainability to the characteristics of the farm and its management. We hypothesized that (i) sustainability can be expressed using social profit, and (ii) socio-economic characteristics and management practices of farms explain differences in sustainability. The objective of our work was to provide empirical evidence for these hypotheses. Data was collected data over two years from 361 coffee farms in Vietnam to calculate social profit. We found that the average social profit of farms was 2300 USD. The main source of social profit inefficiency is the sub-optimal allocation of resources and levels of production. Statistical association between the set of socio-economic characteristics and management practices and social profit inefficiency shows that social profit inefficiency is increased (sustainability is decreased) by larger distances from the coffee farm to the closest town/city center and to the closest coffee factory/traders and by a high frequency of spraying. On the other hand, sustainability is increased when coffee producers belong to the ethnic group JoRai, when using more hired labor and frequency, and when there are a larger number of fertilizing and pruning activities. We conclude that social profit inefficiency can be used to summarize sustainability.

show abstract

“…Therefore, the application of smart farming permits to enhance the environmental, economic, and social sustainability of the farming production process. Moreover, precision agriculture and smart farming can give farmers the added value provided by practices that protect and maintain the natural and social environment [46], that is perceived positively by customers and society [47].…”

Section: Understanding the Changes In Action: The Smart Agricultures Multidimensionality Methodsmentioning

confidence: 99%

Smart Farming Introduction in Wine Farms: A Systematic Review and a New Proposal

Sarri¹,

Lombardo²,

Pagliai³

et al. 2020

Sustainability

View full text Add to dashboard Cite

This study shows a new methodological proposal for wine farm management, as a result of the progressive development of the technological innovations and their adoption. The study was carried out in Italy involving farmers, workers, or owners of wine farms who are progressively introducing or using precision agriculture technologies on their farm. The methodology proposed was divided in four stages (1. understanding the changes in action; 2. identifying the added value of Smart Farming processes; 3. verifying the reliability of new technologies; 4. adjusting production processes) that can be applied at different levels in vine farms to make the adoption of precision agriculture techniques and technologies harmonious and profitable. Data collection was carried out using a participant-observer method in brainstorming sessions, where the authors reflected on the significance of technology adoption means and how to put them in practice, and interviews, questionnaire surveys, diaries, and observations. Moreover, project activities and reports provided auxiliary data. The findings highlighted the issues of a sector which, although with broad investment and finance options, lacks a structure of human, territorial, and organizational resources for the successful adoption of technological innovations. The work represents a basis for the future development of models for strategic scenario planning and risk assessments for farmers, policymakers, and scientists.

show abstract

Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?

Cited by 71 publications

References 50 publications

Precision Agriculture: A Remote Sensing Monitoring System Architecture

Precision Agriculture: A Remote Sensing Monitoring System Architecture

Assessing the Sustainability Performance of Coffee Farms in Vietnam: A Social Profit Inefficiency Approach

Smart Farming Introduction in Wine Farms: A Systematic Review and a New Proposal

Contact Info

Product

Resources

About