|
|
|
|
|
Charalampos S. Kouzinopoulos, Eleftheria Maria Pechlivani, Nikolaos Giakoumoglou, Alexios Papaioannou, Sotirios Pemas, Panagiotis Christakakis, Dimosthenis Ioannidis and Dimitrios Tzovaras
Citizen science reinforces the development of emergent tools for the surveillance, monitoring, and early detection of biological invasions, enhancing biosecurity resilience. The contribution of farmers and farm citizens is vital, as volunteers can streng...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuangyan Chen
Molecular breeding has revolutionized the improvement of forage crops by offering precise tools to enhance the yield, quality, and environmental resilience. This review provides a comprehensive overview of the current technologies, applications, and futu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ping Dong, Kuo Li, Ming Wang, Feitao Li, Wei Guo and Haiping Si
In addition to the conventional situation of detecting a single disease on a single leaf in corn leaves, there is a complex phenomenon of multiple diseases overlapping on a single leaf (compound diseases). Current research on corn leaf disease detection ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anthony Omar Donoso-Alvarado, Carmen Cruz Flores-Anchundia, Alma Mendoza, Ernesto A. Moya-Elizondo, Diego Portalanza, Freddy Zambrano-Gavilanes and Felipe R. Garcés-Fiallos
Physic nut (Jatropha curcas L.) has emerged as a promising fruit crop in Ecuador, but the recent identification of rust poses a potential threat to its productive development. This study focused on elucidating the morphological aspects of the basidiomyce...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiguang Wang
Crop fungal diseases are a major threat to crop health and food security worldwide. The epidemiology is the basis for effective and sustainable control of crop fungal diseases. Safe, effective, sustainable, and eco-friendly disease control measures have ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianlei Kong, Yang Xiao, Xuebo Jin, Yuanyuan Cai, Chao Ding and Yuting Bai
In the realm of smart agriculture technology?s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector. Within this context, the precise identification of pests and diseas...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Zhang, Zhaoai Shi, Guangming Chen, Aocheng Cao, Qiuxia Wang, Dongdong Yan, Wensheng Fang and Yuan Li
Seeds comprise an important way in which plant pathogens are introduced into new areas, and serve as carriers for their survival from one planting season to another. Seed health is a recognized factor in modern agricultural science, and affects ideal pla...
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
|
|
|
|
|
|
|
|
|
|
|
Xiangpeng Fan and Zhibin Guan
The automatic recognition of crop diseases based on visual perception algorithms is one of the important research directions in the current prevention and control of crop diseases. However, there are two issues to be addressed in corn disease identificat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Runze Di, Lun Liu, Noman Shoaib, Boai Xi, Qiyan Zhou and Guowu Yu
Sheath blight (ShB) of maize, as a soil-borne disease caused by Rhizoctonia solani AG1-IA, is one of the main obstacles for maintaining the sustainable production of maize. R. solani has a wide host range and low-resistance sources, there is a lack of re...
ver más
|
|
|
|
|
|