|
|
|
Sergio Monteleone, Edmilson Alves de Moraes, Roberto Max Protil, Brenno Tondato de Faria and Rodrigo Filev Maia
Agriculture is undergoing a profound change related to Agriculture 4.0 development and Precision Agriculture adoption, which is occurring at a slower pace than expected despite the abundant literature on the factors explaining this adoption. This work ex...
ver más
|
|
|
|
|
|
|
Yaoqiang Pan, Xvlin Xiao, Kewei Hu, Hanwen Kang, Yangwen Jin, Yan Chen and Xiangjun Zou
In an unmanned orchard, various tasks such as seeding, irrigation, health monitoring, and harvesting of crops are carried out by unmanned vehicles. These vehicles need to be able to distinguish which objects are fruit trees and which are not, rather than...
ver más
|
|
|
|
|
|
|
Abdul-Wadood Moomen, Lily Lisa Yevugah, Louvis Boakye, Jeff Dacosta Osei and Francis Muthoni
This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990?2023). During this period, there have been several government policy intervention...
ver más
|
|
|
|
|
|
|
Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, Abed Alataway, Ahmed Z. Dewidar and Mohamed A. Mattar
This study addresses the crucial role of temperature forecasting, particularly in agricultural contexts, where daily maximum (????????
T
m
a
x
) and minimum (????????
T
m
i
n
) temperatures significantly impact crop growth and irrigation planning. While ...
ver más
|
|
|
|
|
|
|
Gaganpreet Singh Hundal, Chad Matthew Laux, Dennis Buckmaster, Mathias J Sutton and Michael Langemeier
The production of row crops in the Midwestern (Indiana) region of the US has been facing environmental and economic sustainability issues. There has been an increase in trend for the application of fertilizers (nitrogen & phosphorus), farm machinery ...
ver más
|
|
|
|
|
|
|
Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few....
ver más
|
|
|
|
|
|
|
Juan Contreras-Castillo, Juan Antonio Guerrero-Ibañez, Pedro C. Santana-Mancilla and Luis Anido-Rifón
The Internet of Things (IoT) and convolutional neural networks (CNN) integration is a growing topic of interest for researchers as a technology that will contribute to transforming agriculture. IoT will enable farmers to decide and act based on data coll...
ver más
|
|
|
|
|
|
|
Guangfei Wei, Huifang Chen, En Lin, Xuhua Hu, Hengwang Xie, Yuanlai Cui and Yufeng Luo
The accurate identification of the water layer condition of paddy fields is a prerequisite for precise water management of paddy fields, which is important for the water-saving irrigation of rice. Until now, the study of unmanned aerial vehicle (UAV) rem...
ver más
|
|
|
|
|
|
|
Mingze Yao, Manman Gao, Jingkuan Wang, Bo Li, Lizhen Mao, Mingyu Zhao, Zhanyang Xu, Hongfei Niu, Tieliang Wang, Lei Sun and Dongshuang Niu
Accurate quantification of evapotranspiration (ETc) and its components are critical for enhancing water use efficiency and implementing precision irrigation. A two-year experiment was conducted for greenhouse-grown tomatoes under mulched drip irrigation ...
ver más
|
|
|
|
|
|
|
Rana Muhammad Amir Latif, Jinliao He and Muhammad Umer
An actual cropland extent product with a high spatial resolution with a precision of up to 60 m is believed to be particularly significant in tackling numerous water security concerns and world food challenges. To advance the development of niche, advanc...
ver más
|
|
|
|