Dhananjoy Mandal 2K. Baral 3M. K. Dasgupta

Developing site-specific appropriate precision agriculture

Muhammad Waqar Yasin*, Mobushir Riaz Khan and Muhammad Amin 

...ce were computed through remote sensing and crop reporting data obtained from the agriculture department, Government of Punjab, Pakistan. Lastly, changes in crop performance (what does performance mean here!!) were compared with changes in studied climate variables (temperature and rainfall). It was found that increased in mean annual temperature decreased the crop yield. In addition, the climatic variation imparts negatively on studied crop production in the ...

Syed Muhammad Hassan Raza1*, Syed Amer Mahmood1, Veraldo Liesenberg2 and Syed Shehzad Hassan1  

Syed Muhammad Hassan Raza1*, Syed Amer Mahmood1, Syeeda Areeba Gillani1, Syed Shehzad Hassan1, Muneeb Aamir1, Muhammad Saifullah1, Mubashar Basheer1, Atif Ahmad1, Saif-ul-Rehman2 and Tariq Ali1 

...cted as 1.42 m tons. The remote sensing tools, datasets and the methodology is easy to understand and apply throughout the world to estimate the net productions precisely. 


Sajjad Ali1, Atta-ur-Rahman1 and Sher Ali2* 

...c information system and remote sensing are used to detect land use changes. This study is carried out at three levels; initially the whole tehsil is studied for land use change analysis by comparing 1985 and 2015 Landsat images. Secondly, four sample union councils were targeted for medium level analysis. Thirdly, seven sample villages are targeted for micro level. The Landsat images of 1985 and 2015 are obtained from the open source Global Land Cover Facilit...
Min Li1,2, Jingjing Wang3, Suxian Hu3, Philip Stott4, Baoqing Lin5, Lianshan Li5, Hui Liu1, Heng Bao1, Duoying Cui6 and Guangshun Jiang1,* 
...m 2000 to 2009, and used remote sensing and GIS technologies to map land cover types. We linked cover types to avian species richness, evenness, and Shannon’s diversity using a stepwise linear regression model and regressions of proportions of cover types at different spatial scales. We recorded 109,026 sightings comprising 94 species, and found that avian diversity indices were positively influenced by the presence of open water, farmland, and alkaline ...

 Usman Ali Naeem*, Hashim Nisar*, Habib-ur-Rehman** and Naeem Ejaz*

Saira Batool1, Safdar Ali Shirazi1 and Syed Amer Mahmood2*
...vulnerable erosion zones remote sensing datasets demarcated by GIS. Computed soil erodibility, rainfall erodibilty, topographic-length-slope, crop management and conservation factor reveal interesting results and are in accordance with the local estimations that agree with each other well. The output maps indicate that the approximated total possible soil loss annually of about 92.6 million tons is equivalent to the calculated sediments of 148 tons/ha. Chakwal...
Jing Yu1*, Jiangmei Mao1,2 and Dongliang Wang1,3
...reference for the use of remote sensing data to inverse PP and then to assess fishery resources in typical offshore fishery waters. The paper adopted the inversion analysis of the primary productivity (PP) in the Daya Bay, China applying the vertical generalized production model (VGPM) with ocean color and sea surface temperature (SST) provided by MODIS-Aqua. On the basis of modified VGPM model, fishery resources in the Daya Bay were evaluated according to the...
Jing Yu1*, Yao Lu1,2, Zhaojin Lin1, Pimao Chen1 and Yuting Feng1,3
...ression, using satellite remote sensing and investigation data during April to June in 2014 and 2015. Satellite data including Sea Surface Temperature (SST), Sea Surface Salinity (SSS) and water Depth from Digital Elevation Model (DEM) were used to build the Habitat Suitability Index (HSI) model, based on Maximum Model (MAXM), Minimum Model (MINM), Arithmetic Mean Model (AMM), and Geometric Mean Model (GMM). Results showed that the accuracy of the HSI model wa...
Naveed Farah1*, Izhar Ahmad Khan1, Asif Ali Abro2, Jehanzeb Masood Cheema3 and Muhammad Luqman4*
Wei Luo 1,2,3, Yongtao Jin 1,2,3, Xuqing Li 1,2,3 and Ke Liu 1,2,3*
...ed aerial vehicles (UAV) remote sensing.The monitoring objects include three kinds of domestic herbivores: Tibetan sheep, yaks, and horses, and three kinds of wild herbivores: Tibetan antelopes, Tibetan wild assess, and blue sheep.All the kinds of large herbivores in the aerial images are detected and located using deep learning model of the MASK R-convolutional neural network (CNN), and the average recall, correct, and leakage are 89%, 98.4%, and 10.8%, respe...

Pakistan Journal of Zoology


Vol. 54, Iss. 1, Pages 1-501


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