Results 131 to 140 of about 18,056 (297)
Drivers of Precision Agriculture Adoption in Italian Viticulture
ABSTRACT This study examines the main drivers influencing the adoption of two types of precision farming technologies in the viticultural sector: Decision Support Systems (DSSs) and Variable Rate Technologies (VRTs). We apply a partial proportional odds model and find that socio‐demographic characteristics are not significant determinants of adoption ...
Olimpia Fontana +3 more
wiley +1 more source
Active walking in broiler chickens: a flagship for good welfare, a goal for smart farming and a practical starting point for automated welfare recognition. [PDF]
Dawkins MS.
europepmc +1 more source
The Bitter Taste of Brazil's Temporary Import Ban on Robusta Coffee
ABSTRACT Brazil, a leading Robusta coffee producer and exporter, faced a significant drought in 2016–2017, which drastically reduced production and depleted stocks. Consequently, Brazil temporarily permitted the import of one million 60‐kg bags of Robusta coffee in the spring 2017. An import ban was imposed shortly afterward due to lobbying by domestic
Hanifi Otgun +2 more
wiley +1 more source
Implementing a Compression Technique on the Progressive Contextual Excitation Network for Smart Farming Applications. [PDF]
Prakosa SW +5 more
europepmc +1 more source
Smart farming makes a tremendouscontribution for food sustainability for 21st century. Our project vertical farming is the practice of producing food in vertically stacked layers, vertically inclined surfaces and integrated in other structures using ...
Priyanka Bagale,, Sheetal Patil,
core
ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal +2 more
wiley +1 more source
Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming. [PDF]
Dineva K, Atanasova T.
europepmc +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
The Algorithm, the Farmer and the Agronomist: Who is Smart in Smart Farming?
The concept of “Smart Farming,” which evolved from “precision agriculture,” has recently emerged as a new paradigm in agriculture. This approach leverages digital technologies—including artificial intelligence, Big Data, and the Internet of Things—to ...
Nicolas Brault +2 more
doaj +1 more source

