Gunungkidul Regency is one of the districts that developed dry land red rice farming. Semin and Panggang sub-districts are develop varieties at Inpari 24 Segreng. This study aims to determine costs, income, profits, feasibility farming Segreng variety in Regency. The number respondents this were 250 using Simple Random Sampling technique, consisting 150 from farmers 100 farmers. Data was collec...

To solve the problems of high temperature and drought in Xinjiang Turpan area low survival rate melon seedlings transplanted into dry soil, existing transplanters for large plant type young can be mechanized. For non-destructive planting small types, such as Hami seedlings, there are still poor transplanting effects, point precise pile-soil, other problems. In this study, a water transplanter l...

The growing population and increasing socio-economic necessities creates a pressure on land use/land cover. Nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. This study investigates the land use changes in part of Hableh Rood Watershed of Iran using Landsat 7 and 8 (Sensor ETM+ and OLI) ...

BACKGROUND The importance of soil biota in the composition of mature plant communities is commonly acknowledged. In contrast, the role of soil biota in the early establishment of new plant communities and their relative importance for soil abiotic conditions are still poorly understood. AIMS AND METHODS The aim of this study was to understand the effects of soil origin and soil fungal communi...

Vegetation, seed rain, seed germination, microclimate, and soil physical and chemical parameters were measured in a recently abandoned pasture and adjacent primary rain forest in southern Costa Rica. The goal of this study was to assess the importance of these factors in limiting forest regeneration in abandoned pastures. Seed rain of animal dispersed species decreased dramatically in the pastu...

Predicting a realistic target yield is one of the critical problems in precision farming. An artificial neural network was employed to model the nonlinear relationship between cotton yield and the factors influencing yield. Using sixyear field data obtained from LuoYang Dry Land Research Center, the neural network model was developed and trained, and the RMSE for test data was 3.70%. The result...