Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a large impact on Smart Farming involve the whole supply chain, particularly for rice production. The increasing amount variety data captured obtained by these emerging technologies in IoT offer smart farming strategy new abilities predict changes identify opportunities. quality collected from sensors greatly...

AbstractIt is critically important to intensify farming systems in sub-Saharan Africa by disseminating improved agronomic practices and increasing the application of modern inputs (Chaps. 1 2 this volume). One region’s challenges that proper land preparation difficult due scarcity draft animals underdevelopment tractor rental market (Chap. 7). Our analysis rice production Cote d’Ivoire reveals ...

An experiment was conducted to determine the impact of fish and prawn culture on some physicochemical parameters of water, weeds, benthos, and rice yield under simultaneous method for a period of 5 months from July to November 2007. The experiment was comprised of five individual treatments having three replicates for each. The treatments were: rice combined with fish and regular urea fertiliza...

25 Total and EDTA-extractable concentrations of Cd, Co, Cu, Ni, Pb, and Zn in rice-farming 26 soils and their distribution in the profile depth were evaluated. The temporal variability of 27 metal concentrations in the superficial horizon was studied during 1991-1995. Results show 28 that the highest metal concentrations correspond to Zn, Pb, and Cu, for total and EDTA29 extractable fraction. I...

Despite the rapid Internet evolution in Malaysia, the farming community is not getting its full benefit due to many factors. Efforts to get the community use the Internet without the availability of proper resources and appropriate content are ineffective. TaniNet is an interactive on-line agricultural and biotechnological web site aimed at providing the agricultural community with information ...