Advancements in Horticulture Development Using Machine Learning Techniques

Farming and agriculture is the backbone of every country’s economy thus plays a crucial role in the overall growth and development of its economic status. The respective governments of every country do their best when it comes to supporting the farmers in terms of various aids such as subsidized fertilizers, pesticides, medicines etc. at discounted rates by allocating a huge chunk of tax payers money into various schemes. But do these schemes are effective enough? Are the targeted people getting these benefits? Is the revenue invested in these subsidies being utilized to its potential? The short answer is “NO” because most of the subsidies are being exploited by middle men. A major chunk of the resources are either sold at profits or are simply designated to farmers in an uneven manner where needy farmers get very little resources and greedy middle men make profits of these resources because of unorganized distribution of subsidies. In this paper we will discover ways by which accurate distribution of subsidized resources can be made so that targeted farmer’s needs can be fulfilled without the resources being wasted and black marketed. By enabling the methods discussed in this paper, governments can save huge chunk of taxpayer’s money on unorganized distribution of resources thus improving their budget on several other required domains.