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Shiwei Ruan, Hao Cang, Huixin Chen, Tianying Yan, Fei Tan, Yuan Zhang, Long Duan, Peng Xing, Li Guo, Pan Gao and Wei Xu
Early detection and diagnosis of crop anomalies is crucial for enhancing crop yield and quality. Recently, the combination of machine learning and deep learning with hyperspectral images has significantly improved the efficiency of crop detection. Howeve...
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Jiantao Zhao, Rongzheng Huang, Kaixin Yang, Chunhui Ma and Qianbing Zhang
The present study aimed to investigate the nitrogen (N) and phosphorus (P) fertilization of continuous addition effects plant biomass, the physiological properties of leaves and the antioxi-dant enzyme activities of alfalfa (Medicago sativa L) in the nor...
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Simon Alibu, Morish Obura, James Ekebu, Doreen Nampamya, Jimmy Lamo, Godfrey Asea and Tae-Seon Park
Limited farmer access to quality seeds of improved varieties and knowledge gaps in good agronomic practices are the major factors limiting rice productivity among smallholder farmers in Uganda. Promoting high yielding aromatic rice varieties alongside go...
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Abhishek Singh, Rakesh Singh Sengar, Vishnu D. Rajput, Tatiana Minkina and Rupesh Kumar Singh
Understanding the salinity stress mechanisms is essential for crop improvement and sustainable agriculture. Salinity is prepotent abiotic stress compared with other abiotic stresses that decrease crop growth and development, reducing crop production and ...
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C.D. Rullan-Silva,A.E. Olthoff,J.A. Delgado de la Mata,J.A. Pajares-Alonso
Pág. 377 - 391
Aim of study: This paper reviews the global research during the last 6 years (2007-2012) on the state, trends and potential of remote sensing for detecting, mapping and monitoring forest defoliation caused by insects.Area of study: The review covers rese...
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