J Zhao, D Liu, R Huang - Sustainability, 2023 - mdpi.com
Global climate change has posed serious threats to agricultural production. Reducing greenhouse gas (GHG) emissions and ensuring food security are considered the greatest …
RB González-González, P Sharma, SP Singh… - Science of The Total …, 2022 - Elsevier
Pharmaceutical compounds are designed to elicit a biological reaction in specific organisms. However, they may also elicit a biological response in non-specific organisms …
M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
Abstract Agriculture contributes to 6.4% of the entire world's economic production. In at least nine countries of the world, agriculture is the dominant sector of the economy. Agriculture not …
F Xiao, H Wang, Y Xu, R Zhang - Agronomy, 2023 - mdpi.com
Continuing progress in machine learning (ML) has led to significant advancements in agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …
As AI models continue to advance into many real-life applications, their ability to maintain reliable quality over time becomes increasingly important. The principal challenge in this …
Depending on the seriousness of the offence, any deliberate act that causes harm to oneself or another, as well as damage to or loss of property, qualifies as a crime for the purposes of …
In the face of increasing agricultural demands and environmental concerns, the effective management of weeds presents a pressing challenge in modern agriculture. Weeds not only …
A Escamilla-García, GM Soto-Zarazúa… - Applied Sciences, 2020 - mdpi.com
This article reviews the applications of artificial neural networks (ANNs) in greenhouse technology, and also presents how this type of model can be developed in the coming years …
The literature about digitalization in agriculture and rural areas is vast and sectorial at the same time. Both international political institutions and practitioners are interested in …