Results 11 to 20 of about 4,494,762 (162)
Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Agriculture plays a vital role in the economic growth of any country. With the increase of population, frequent changes in climatic conditions and limited resources, it becomes a challenging task to fulfil the food requirement of the present population ...
Abhinav Sharma+3 more
semanticscholar +1 more source
Machine Learning in Agriculture: A Comprehensive Updated Review
The digital transformation of agriculture has evolved various aspects of management into artificial intelligent systems for the sake of making value from the ever-increasing data originated from numerous sources.
Lefteris Benos+5 more
semanticscholar +1 more source
Agriculture plays a vital role in the development of an agricultural country. Around 70% of people depend on farming in our country, and one-third of the nation's income comes from agriculture. Issues concerning agriculture have been continually impeding
Agilesh R+4 more
semanticscholar +1 more source
Global food demand and the sustainable intensification of agriculture
Global food demand is increasing rapidly, as are the environmental impacts of agricultural expansion. Here, we project global demand for crop production in 2050 and evaluate the environmental impacts of alternative ways that this demand might be met.
D. Tilman+3 more
semanticscholar +1 more source
Use of Botanical Pesticides in Agriculture as an Alternative to Synthetic Pesticides
Pest management is being confronted with immense economic and environmental issues worldwide because of massive utilization and over-reliance on pesticides.
P. M. Ngegba+3 more
semanticscholar +1 more source
From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management
The information that crops offer is turned into profitable decisions only when efficiently managed. Current advances in data management are making Smart Farming grow exponentially as data have become the key element in modern agriculture to help ...
V. Sáiz-Rubio, F. Rovira-Más
semanticscholar +1 more source
Machine Learning in Agriculture: A Review
Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. In this paper, we present a comprehensive review of research
Konstantinos G. Liakos+4 more
semanticscholar +1 more source
Regenerative Agriculture: An agronomic perspective
Agriculture is in crisis. Soil health is collapsing. Biodiversity faces the sixth mass extinction. Crop yields are plateauing. Against this crisis narrative swells a clarion call for Regenerative Agriculture. But what is Regenerative Agriculture, and why
K. Giller+3 more
semanticscholar +1 more source
World development report 2008 : agriculture for development
Agriculture is a vital development tool for achieving the Millennium Development Goal that calls for halving by 2015 the share of people suffering from extreme poverty and hunger. That is the overall message of this year's World Development Report (WDR),
R. Townsend+4 more
semanticscholar +1 more source
Climate Services for Resilient Development (CSRD) Partnership’s work in Latin America [PDF]
The Climate Services for Resilient Development (CSRD) Partnership is a private-public collaboration led by USAID, which aims to increase resilience to climate change in developing countries through the development and dissemination of climate ...
International Center for Tropical Agriculture
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