Embedding a precision service into a …

Today, bridging precision (PA) with management is a high priority. To respond to this challenge, a precision fertilization service for extended crops, namely ‘PreFer’ (developed by ‘Ecodevelopment’ enterprise), was embedded as a module in a cloud-based management information system (FMIS), namely ‘ifarma’ (developed by ‘Agrostis’ enterprise).

7 Israeli Technologies –

Today we celebrate Tu-Bishvat – the ” Year of the Trees”, a holiday dedicated to nature and the source of life on earth.Farming in Israel is not an easy t…

| Frontiers Research Topic

Farming is developing towards digitalized and data-driven operations, advanced decision support systems, analyses, and planning, among others. Technologies such as artificial intelligence (AI), cloud computing, and Internet of Things (IoT) have unlocked a direction of innovative research for . Related to this, mechanization and automation …

AgTech Revolution: The Integration of Farming …

Delhi [India], January 29: From ancient practices relying on man and animal power to the modern era, where technology has become an indispensable ally in our quest for sustainable, efficient farming, our practices have covered a long journey. This progression, often termed the “AgTech Revolution”, represents a pivotal shift towards more innovative, greener …

Frontiers | Factors Affecting Climate- …

To adapt and redirect growth under the climate change conditions, the approach of climate- (CSA) was introduced (Kariyasa and Dewi, 2013; Ho and Shimada, 2019). The most widely accepted definition is the United Nations Food and Organization (FAO), which defines the CSA as “ that …

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The industry is continually growing and expanding, with solutions coming to the market almost daily. Devices that aggregate sensor data, relay critical information to farmers and ranchers, and help optimize vast processes are continually increasing in capability and importance.

Advancements in farming: A comprehensive review of IoT …

Though is a phase, many commercial products and platforms exist, highlighting that the market is ready to adopt [33]. Most of the collection, integration, and data analysis acquired by IoT sensors are focused on commercial solutions, and only a few offer predictive analytics [22]. Current concerns provide significant …