Systematic literature review of implementations of precision agriculture

Abstract Agriculture production highly depends on water and soil factors which increasingly need to be utilized efficiently. Precision agriculture, through the set of information technologies that it uses, allows to effectively manage these resources. This work aims to gather the existing knowledge on technologies used in precision agriculture and ways to discern the most appropriate one for different contexts in agricultural processes. A systematic literature review is performed to identify precision agriculture implementations and to answer questions such as the type of technologies used, criteria for their comparison and selection, and the existence of frameworks that help to decide what technologies to implement. A total of 3,949 publications were reviewed, of which 259 addressed the posed research questions. The findings are that remote sensors are the most used technology, the required knowledge is an important criterion for deciding to implement precision agriculture, and no framework was found that guides its implementation.

[1]  Terry W. Griffin,et al.  Farm’s Sequence of Adoption of Information-intensive Precision Agricultural Technology , 2017 .

[2]  L. Quebrajo,et al.  Linking thermal imaging and soil remote sensing to enhance irrigation management of sugar beet , 2018 .

[3]  James A. Larson,et al.  Timing of precision agriculture technology adoption in US cotton production , 2013, Precision Agriculture.

[4]  Chen Han,et al.  Visible-near infrared spectrum-based classification of apple chilling injury on cloud computing platform , 2018, Comput. Electron. Agric..

[5]  Gonzalo Llano Ramírez,et al.  Sistemas de Información enfocados en tecnologías de agricultura de precisión y aplicables a la caña de azúcar, una revisión , 2015 .

[6]  Giacomo Carli,et al.  What really matters? A qualitative analysis on the adoption of innovations in agriculture , 2015 .

[7]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  An adaptive approach for UAV-based pesticide spraying in dynamic environments , 2017, Comput. Electron. Agric..

[8]  C. Dillon,et al.  The economic and environmental impacts of precision agriculture and interactions with agro-environmental policy , 2014, Precision Agriculture.

[9]  Biqing Li,et al.  Design and Implementation of Sugarcane Growth Monitoring System based on RFID and ZigBee , 2018, Int. J. Online Eng..

[10]  Tatiana Gualotuña,et al.  A System for the Monitoring and Predicting of Data in Precision Agriculture in a Rose Greenhouse Based on Wireless Sensor Networks , 2017, CENTERIS/ProjMAN/HCist.

[11]  Kenneth A. Sudduth,et al.  An Introduction to Precision Agriculture , 2018, Precision Agriculture Basics.

[12]  James A. Larson,et al.  Intensity of Precision Agriculture Technology Adoption by Cotton Producers , 2011, Agricultural and Resource Economics Review.

[13]  Liljana Gavrilovska,et al.  SmartWine: Intelligent End-to-End Cloud-Based Monitoring System , 2014, Wirel. Pers. Commun..

[14]  C. Daughtry,et al.  What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? , 2018 .

[15]  M. McConnell Bridging the gap between conservation delivery and economics with precision agriculture , 2019, Wildlife Society Bulletin.

[16]  Wang Bei,et al.  Application Study of Precision Agriculture Based on Ontology in the Internet of Things Environment , 2011 .

[17]  Andreas Kamilaris,et al.  A review on the practice of big data analysis in agriculture , 2017, Comput. Electron. Agric..

[18]  Paramasivam Ilango,et al.  The Impact of Wireless Sensor Network in the Field of Precision Agriculture: A Review , 2017 .

[19]  E. J. Sadler,et al.  Long-term impact of a precision agriculture system on grain crop production , 2017, Precision Agriculture.

[20]  S. Wolfert,et al.  Big Data in Smart Farming – A review , 2017 .

[21]  Kurosh Rezaei-Moghaddam,et al.  Impacts of the precision agricultural technologies in Iran: An analysis experts' perception & their determinants , 2017 .

[22]  Paulo Estevão Cruvinel,et al.  Big Data Environment for Agricultural Soil Analysis from CT Digital Images , 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

[23]  Benoit Aubert,et al.  IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology , 2012, Decis. Support Syst..

[24]  Dan Popescu,et al.  A Conceptual Model of Farm Management Information System for Decision Support , 2014, DoCEIS.

[25]  M. Markoski,et al.  THE BENEFIT GIS TECHNOLOGIES AND PRECISION AGRICULTURE PRINCIPLES IN SOIL NUTRIENT MANAGEMENT FOR AGRICULTURAL CROP PRODUCTION , 2015 .

[26]  Melanie Bryant,et al.  Ordering adoption: Materiality, knowledge and farmer engagement with precision agriculture technologies , 2017 .

[27]  Shahbaz Mushtaq,et al.  Climate change and water security: Estimating the greenhouse gas costs of achieving water security through investments in modern irrigation technology , 2013 .

[28]  J. Stoorvogel,et al.  Managing soil variability at different spatial scales as a basis for precision agriculture , 2015 .

[29]  Carolyn Hedley,et al.  The role of precision agriculture for improved nutrient management on farms. , 2015, Journal of the science of food and agriculture.

[30]  José Alexandre Melo Demattê,et al.  Precision agriculture for sugarcane management: a strategy applied for brazilian conditions , 2014 .

[31]  Suming Chen,et al.  Precision Cultivation System for Greenhouse Production , 2015 .

[32]  Andres Hernandez,et al.  Towards the Development of a Smart Flying Sensor: Illustration in the Field of Precision Agriculture , 2015, Sensors.

[33]  G. H. Raghunandan,et al.  Comparative analysis of different precision agriculture techniques using wireless sensor networks , 2017, 2017 4th International Conference on Electronics and Communication Systems (ICECS).

[34]  M. Oliver Precision agriculture and geostatistics: How to manage agriculture more exactly , 2013 .

[35]  Talitha Best,et al.  A systematic literature review of the factors affecting the precision agriculture adoption process , 2019, Precision Agriculture.

[36]  Catur Aries Rokhmana,et al.  The Potential of UAV-based Remote Sensing for Supporting Precision Agriculture in Indonesia☆ , 2015 .

[37]  V. R. Thool,et al.  Big data in precision agriculture: Weather forecasting for future farming , 2015, 2015 1st International Conference on Next Generation Computing Technologies (NGCT).

[38]  Zhenhong Li,et al.  Precision Agriculture in China: Exploring Awareness, Understanding, Attitudes and Perceptions of Agricultural Experts and End-Users in China , 2017 .